Introduction

To start with, Python is one of the popular in demand programming languagesamong numerous programming languagesin 2021 with tremendous growth. Python is ranked in the top according to the PYPL index, Stack Overflow, or any other platform. This article shows the valid reasons to learn and start or uplift the career with Python!

Python Programming

First of all, Python is a high-level, general-purpose programming language with easy-to-learn syntax that emphasizes readability, code reusability and reduced maintenance cost. It supports the programming fundamentals —like loops, conditionals, and functions.

Python supports modules and packages which assist program modularity and uses best practices like the object-oriented approach and data structures in order to create large, reusable software systems. Python offers compatibility with future technologies and vast library support, versatile nature.

More importantly, Python is one of the best career optionswhich can be learned using Python training in Chennai at Credo Systemz to develop the in-built knowledge and skill set needed for a Python developer using the help of industrial professionals along with placement support.

Simplicity

To learn a new programming language, beginners prefer language that should be easy to learn without any too complicated syntax or unusual rules.

Python falls under this category:

Due to the simple syntax and better readability aspect, Python is thebeginner-friendly language with a very simple syntax as english language. For example, If you want to print ‘Hello, Hi!’ in Python, the code would be

	
print(“Hello, Hi!”) – 
		

Yes, it is very simple!

Python is a free, open-source, and high-level programming languagepreferred by various schools and colleges as the first programming language to teach students. Python is easy to learn and can master it using Python course in Chennai using practical training approach.

Flexibility

Firstly, Python provides much-needed flexibility, scalability, and extensibility as it a cross-platform language. It works effectively on every platform whether it is Windows, Linux, or macOS. Python allows performing cross-language operations and integrated with Java, .NET components, or C/C++ libraries.

Secondly, Python is highly extensive that allows to get extended to other programming languages effectively. We can write Python code into C or C++ language and can compile that code in C/C++ language.

Importantly, Python is an interpreted language that does not need to compile the program before execution like Java or C++. The source code of a Python program is converted into bytecode and then executed by the Python virtual machine. Python code is not required to be built and linked like code for these languages.

Furthermore, Python is dynamically-typed languages so no needto specify the data type while declaration. When compared to other programming languages, Python is more flexible, portable, and extensible language.

In addition to that, Python is embeddablein which the any application can have the ability to implement some of the functionality in Python rather than C or C++. This can be used for many purposes that help to implement the application to fulfil the needs by writing some scripts in Python.

Trending Technologies

Python is the most suitable language for Artificial Intelligence, Machine Learning, and Data Science, web development, web scraping, embedded systems development, etc. Python is the suitable tool because of reasons such as robustness, library, scalability, community support, and much more.

To become expertise or to start a career – Python helps throughout the journey. Big Data, Cloud Computing, AI & ML, Data Science, etc. are technologies that significantly dependent on Python.

Learn Python from scratch using real time projects at Credo Systemz using Python Certification training in Chennai to start as a professional in any trending technology which is the right career option for all type of fields.

Huge Collection of Libraries

Python has a huge collection of libraries and frameworks suitable for all type of technologies like Machine Learning, Data Science, Cloud Computing, Web Development, etc. It helps to develop any Python application easily and effectively with less number of codes. Python has a huge standard library that helps to focus on the main tasks and reduce the development cost. The few popular Python libraries and frameworks:

• Django, Pyramid, Flask • NumPy, SciPy, Pandas • Scikit-Learn,PyBrain, PyML, Tensorflow • NLTK, Keras, OpenCV • Asyncio, Pulsar, Pyzmq

Automation

Automation is in trend and much need of the hour which can be achieved using any efficient language for better productivity. Python is the best choice for automation with rich library, command line support and frameworks for efficient automation with scalability. Python allows automated software testing with more time to complex tasks and functionalities which helps to develop better optimum solution.

Python automation frameworks: Python unittest, Unittest, pytest, Robot, Behave, Jasmine

Huge Community Support

Python is an open-source language with huge and reliable community support that helps forgrowth and evolution.A large amount of Python Developers are actively present across the world and the few renowned communities are such as Stack Overflow, GitHub, etc. with Python developers who are ready to help the beginners.

Moreover, Python has a great documentation, learning resources, etc.are available over the web to help beginners to get started and work with Python conveniently.

Salary of Python Developers

Python is one of the fastest-growing languages across the globe with high demand for Python developers with high paying salary. The future of Python is bright with lot of career opportunities for Python professionals to become a part of many trending technologies such as Data Science, Machine Learning, and Big Data etc.

Python Job Roles

• Software developer
• Web Developer
• Data Scientist
• Machine learning Engineer
• Data Analyst
• Artificial Intelligence Engineer

According to upgrad report, the average entry-level Python Developer Salary in India is INR 427,293 per annum with lot of career opportunities from Web Developer to Data Scientist and to Machine Learning Professional. The average mid-level Python Developer Salary is INR 909,818 per annum, and reaches up to INR 1,150,000 for experienced professionals.

Conclusion

Python is the right choice to learn and boost your career at 2021 because of the above reasons.Start learning Python from scratch using practical training and develop the in-depth knowledge, skillset needed for any Python experts with the help of Python professionals using Python training in Chennai at Credo Systemz. Effective Python training in Chennai using:

• Real time projects
• Hands-on Assignment
• Professional faculty
• Lifetime support
• Assured Placement
• Professional certification

Take a Look: Python Training Syllabus

Introduction

To start with, Python is one of the popular in demand programming languagesamong numerous programming languagesin 2021 with tremendous growth. Python is ranked in the top according to the PYPL index, Stack Overflow, or any other platform. This article shows the valid reasons to learn and start or uplift the career with Python!

Python Programming

First of all, Python is a high-level, general-purpose programming language with easy-to-learn syntax that emphasizes readability, code reusability and reduced maintenance cost. It supports the programming fundamentals —like loops, conditionals, and functions.

Python supports modules and packages which assist program modularity and uses best practices like the object-oriented approach and data structures in order to create large, reusable software systems. Python offers compatibility with future technologies and vast library support, versatile nature.

More importantly, Python is one of the best career optionswhich can be learned using Python training in Chennai at Credo Systemz to develop the in-built knowledge and skill set needed for a Python developer using the help of industrial professionals along with placement support.

Simplicity

To learn a new programming language, beginners prefer language that should be easy to learn without any too complicated syntax or unusual rules.

Python falls under this category:

Due to the simple syntax and better readability aspect, Python is thebeginner-friendly language with a very simple syntax as english language. For example, If you want to print ‘Hello, Hi!’ in Python, the code would be

	
print(“Hello, Hi!”) – 
		

Yes, it is very simple!

Python is a free, open-source, and high-level programming languagepreferred by various schools and colleges as the first programming language to teach students. Python is easy to learn and can master it using Python course in Chennai using practical training approach.

Flexibility

Firstly, Python provides much-needed flexibility, scalability, and extensibility as it a cross-platform language. It works effectively on every platform whether it is Windows, Linux, or macOS. Python allows performing cross-language operations and integrated with Java, .NET components, or C/C++ libraries.

Secondly, Python is highly extensive that allows to get extended to other programming languages effectively. We can write Python code into C or C++ language and can compile that code in C/C++ language.

Importantly, Python is an interpreted language that does not need to compile the program before execution like Java or C++. The source code of a Python program is converted into bytecode and then executed by the Python virtual machine. Python code is not required to be built and linked like code for these languages.

Furthermore, Python is dynamically-typed languages so no needto specify the data type while declaration. When compared to other programming languages, Python is more flexible, portable, and extensible language.

In addition to that, Python is embeddablein which the any application can have the ability to implement some of the functionality in Python rather than C or C++. This can be used for many purposes that help to implement the application to fulfil the needs by writing some scripts in Python.

Trending Technologies

Python is the most suitable language for Artificial Intelligence, Machine Learning, and Data Science, web development, web scraping, embedded systems development, etc. Python is the suitable tool because of reasons such as robustness, library, scalability, community support, and much more.

To become expertise or to start a career – Python helps throughout the journey. Big Data, Cloud Computing, AI & ML, Data Science, etc. are technologies that significantly dependent on Python.

Learn Python from scratch using real time projects at Credo Systemz using Python Certification training in Chennai to start as a professional in any trending technology which is the right career option for all type of fields.

Huge Collection of Libraries

Python has a huge collection of libraries and frameworks suitable for all type of technologies like Machine Learning, Data Science, Cloud Computing, Web Development, etc. It helps to develop any Python application easily and effectively with less number of codes. Python has a huge standard library that helps to focus on the main tasks and reduce the development cost. The few popular Python libraries and frameworks:

• Django, Pyramid, Flask • NumPy, SciPy, Pandas • Scikit-Learn,PyBrain, PyML, Tensorflow • NLTK, Keras, OpenCV • Asyncio, Pulsar, Pyzmq

Automation

Automation is in trend and much need of the hour which can be achieved using any efficient language for better productivity. Python is the best choice for automation with rich library, command line support and frameworks for efficient automation with scalability. Python allows automated software testing with more time to complex tasks and functionalities which helps to develop better optimum solution.

Python automation frameworks: Python unittest, Unittest, pytest, Robot, Behave, Jasmine

Huge Community Support

Python is an open-source language with huge and reliable community support that helps forgrowth and evolution.A large amount of Python Developers are actively present across the world and the few renowned communities are such as Stack Overflow, GitHub, etc. with Python developers who are ready to help the beginners.

Moreover, Python has a great documentation, learning resources, etc.are available over the web to help beginners to get started and work with Python conveniently.

Salary of Python Developers

Python is one of the fastest-growing languages across the globe with high demand for Python developers with high paying salary. The future of Python is bright with lot of career opportunities for Python professionals to become a part of many trending technologies such as Data Science, Machine Learning, and Big Data etc.

Python Job Roles

• Software developer
• Web Developer
• Data Scientist
• Machine learning Engineer
• Data Analyst
• Artificial Intelligence Engineer

According to upgrad report, the average entry-level Python Developer Salary in India is INR 427,293 per annum with lot of career opportunities from Web Developer to Data Scientist and to Machine Learning Professional. The average mid-level Python Developer Salary is INR 909,818 per annum, and reaches up to INR 1,150,000 for experienced professionals.

Conclusion

Python is the right choice to learn and boost your career at 2021 because of the above reasons.Start learning Python from scratch using practical training and develop the in-depth knowledge, skillset needed for any Python experts with the help of Python professionals using Python training in Chennai at Credo Systemz. Effective Python training in Chennai using:

• Real time projects
• Hands-on Assignment
• Professional faculty
• Lifetime support
• Assured Placement
• Professional certification

Take a Look: Python Training Syllabus

Introduction

Python is one of the popular programming languages for beginners to learn with a rise in interest by 27% from the previous year according to O’Reillyreport. Learning python coding is fun because the same functionalities can be achieved in many different ways. Anyone can learn Python and become a Python Developer with practice.

Indexing

In python, we have compound datatypes to store multiple items of different type of data, such as,

• List
• Tuple
• Set
• Dictionary

To access individual items in compound data types, we can use indexing using a numerical index in square brackets. Like other main stream programming languages, Python supports 0-based indexing, where we access the first element using zero within a pair of square brackets.

Program

# Positive Indexing
alphabet = [a,b,c,d,e,f,g]
print("First Alphabet:", alphabet[0])
print("First Four Alphabet :", alphabet [:4])
print("Odd Alphabet:", alphabet [::2])

Output First Alphabet: a

First Four Numbers: [a, b, c, d]

Odd Numbers: [a, c, e, g]

Python also support negative indexing in which -1 refers to the last element in the sequence and using that we can count the items backward. For example, the last but one element has an index of -2 and so on. Importantly, the negative indexing can also work with the positive index in the slice object.

Program

# Negative Indexing
values= (10, 40, 4)
names = ["Priya", "Anu", "Rajkumar", "Danny"]
print(values[-1])
print(names[-3:-1])

Output

4

[‘Anu’, ‘Rajkumar’]

List of Strings creation

Strings are identifiers for storing sequence of characters and individual characters of a String can be accessed by using the method of Indexing. To create list of strings use Compound datatypes like list

split() method

The split () method breaks the given string into multiple strings at the specified separator arranges them in a list and returns the list. Program

text = 'Python for all'
print(text.split(' '))

Output

[‘Python’, ‘for’, ‘all’]

As shown above,by default the split() method uses the spaces as the separators and creates a list of strings from the given string. We can use a different kind of separator like commas to create a list of strings with some elements containing spaces.

Program

txt = ‘hello, how r u, glad to meet you’
x = txt.split(", ",4)
print(x)

Output

[‘hello’,’how r u’,’glad to meet you]

“, “- separator

4- maxsplit

The separator,maxsplit are the two parameters used in the split() method to specify where the splits occur and the maximum number of splits. These parameters are optional. If the parameter values are not provided, the string splits at whitespaces and no limit on the number of splits.

Ternary Expression

To check condition or todefine variables with particular condition, we use control flow statements like if…else statement

Program

if mark >90
reward=’excellent’
else:
reward=’good’

We can use ternary expression to check the condition while dealing with assignment of one variable with few lines of code.

The syntax for the ternary operator in Python is:

[on_true] if [expression] else [on_false]

Let’s rewrite the above code using ternary operator,

reward=’excellent’ if mark>90 else reward=’good’

Learn Python and Certified – Get Your Certification

With Statement for File Object

We can read data from files and write data to files. To open a file use the built-in open() function, which creates a file object that can operate. Let’s see the below scenario,

Create a text file that has the text: Hello World!

Close the file

Open the file and append new data

Close the file

If we don’t close the file after any changes like writing new data, editing new data, the changes won’t be saved. We can do this using the “with” statement, which will close the file for us automatically. Program

with open("hello_world.txt", "a") as file:
file.write("Hello Python!")
with open("hello_world.txt") as file:
    print(file.read())
print("Is file close?", file.closed)

Hello World!HelloPython!Hello Python!

Is file close? True

Using the with statement,the file gets closed automatically.

Evaluate Multiple Conditions

There are several possible scenariosto evaluate multiple conditions. We can have multiple comparisons for the same variable for numeric values.

if x < 5 and x> 1:
    pass
if 1 < x < 5:
    pass
Use the in keyword to have multiple equality comparisons:
if a == "Jan" or a == "Feb" or a == "Mar" :
pass
if b in "Jan Feb Mar".split():
pass

Use the built-in functionsall() and any() for evaluating multiple conditions. The all() function will evaluate to be True when the elements are all True, and suitable to replace a series of AND logical comparisons. On the other hand, the any() function will evaluate to be True when any element is True, and suitable to replace a series of OR logical operations.

Use Default Values in Function Declarations

Most of the python projects involve creating and calling functions multiple times whenever needed. Functions are used to implement program logic to execute repeatedly at different places in the code. Arguments are used to pass data to these functions and default argument values can be used in Python functions. Parameters are the values passed to the function arguments and operate depending on the parameters.

Syntax

deffunction_name(param1=value1, param2, param3)

Sorting With Different Order Requirements

Sorting is essential utility for any programming language. The basic sorting is based on the numeric order, and can use the built-in sorted() function. The sorted() function will sort the list in the ascending order. If we specify the reverse argument to be True, we can get the items in the descending order.

Program

# A list of numbers and strings
numbers = [1, 3, 5, 2, 6, 4]
words = ['orange', 'apple', 'papaya', 'mango']
# Sort them
print(sorted(numbers))
print(sorted(words))

Output

[1, 2, 3, 4, 5, 6]

['apple', 'mango', 'orange', 'papaya']

Program

# Sort them in descending order
print(sorted(numbers, reverse=True))
print(sorted(words, reverse=True))

Output:

[6, 5, 4, 3, 2, 1]

[ 'papaya', 'orange', 'mango', 'apple']

Conclusion

To conclude, this article clearly explains the few important tricks to Write Better Python Code with easy explanation. To know more and learn with the help of professional expert trainers: Python Certification course with Placements

Introduction

To work in the field of Business Intelligence and Data Analyst, Tableau is the suitable popular data visualization tool that helps in analysing the data and deriving insights to take necessary action for the business growth. To start with, this article explains the top reasons for learning tableau and its career opportunities to start the successful career in the Data Analytics and Business Intelligence.

Tableau

With emerging popularity, Tableau is the best Business Intelligence Tool used for data visualization that helps to transform the raw datasets into an understandable format to take the right decision for improved performance without any programming or technical knowledge. Tableau helps the organizations to analyse and process a massive amount of data suitable for companies from small to big of all range. Based on its trend, it is high time to learn Tableau, start a career in Business intelligence, Data Analytics and the top reasons are as follows,

• Increase in Demand
• Better Data Handling
• Ease of Use
• Best Profession

Increase In Demand

As huge amount of data is generated in the companies daily, the need for effective data handling tool is inevitable which increases the demand for tableau to process the enormous volume of data. Based on recent studies, the amount of data generated every day is increasing when compared to the past decades. So, the organizations are willing to adapt Tableau as it is easy to use to process the vast data which increases the demand for Tableau professionals in all type of organizations. The demand for tableau professionals are high currently and it will keep growing at a faster rate in the future.

Better Data Handling

With the help of the Tableau Tool, Data handling can be done effectively with Integration and Manipulation as simple and easy. Tableau tool helps to handle data which can be integrated and manipulated with any programming language or software. It is also effortless to integrate Tableau with various data sources along with deployment followed by data analytics methods like data consolidation, reports gathering from databases, data understanding and manipulation. Using well organized user interface, it is easy to customize the views in tableau with few clicks easily. Tableau software can handle a large volume of data efficiently with quicker calculation of datasets. It is very user-friendly that helps to produce interactive data visualization with complicated charts and graphs.

Ease of Use

Based on its user-friendly nature, Tableau is the essential tool that allows to build complex charts and graphs with ease of use. Using its amazing features, Tableau helps to construct data visualizations by handling large volumes of data along with easy dataset calculations. It allows professionals in organizations to pay attention to the visual data. With the help of visual analytics features, it allows users in organizations to interact and visualize data. It helps to make improved business decisions to get better insights.

Best Profession

In business intelligence and data visualization market, Tableau is the leading tool which creates the best and secured career for the professionals. As per the research results, the Tableau tool was declared as the leading tool with its unique and creates the bright future career. When compared with other tools, Tableau stay ahead as the leader with the ability to execute with its Vision completeness. The demand for the Certified Tableau professionals is increasing as large companies are ready to provide tableau jobs as they realise the need for this tool to create a better performance for effective organization’s growth and the few companies are:

• Verizon
• Dell
• KPMG
• Bank of America
• Sunguard
• Sony Electronics
• Facebook and much more

Benefits of using the Tableau tool

• Firstly, Tableau Tool can handle large amount of data and produce reports which lead to increase the performance of the business.
• Importantly, Tableau is easy to use with data visualization along with many options for improved user experience with the help of simple drag and drop interfaces.
• To build visuals by selecting the appropriate models to select the best-suited representation for their organization.
• With easy customization using simple clicks, tableau can be integrated with various data sources.
• It has well-organized user interface with effective community for users, developers to get answers for their queries quickly.

Career Opportunities

As most of the global data is stored digitally, the need for data visualization experts has been rising eventually. The career opportunities of tableau are increasing eventually in the areas of business intelligence and data analytics.  Many organizations are moving towards Tableau creating multiple job profiles with high pay packages. The few job roles for Tableau professions are :

• Tableau Developer
• Senior Tableau Developer
• Data Analyst
• Tableau Consultant
• Software Engineer
• Business Intelligence Manager
• Business Analyst

Salary Details

Tableau Developer’s salary in India is on the rise, and experienced developers earning as well annually. According to indeed report, the average salary for a tableau developer is ₹8, 30,405 per year in India. Experienced tableau developer makes up to 8 Lakh per annum with 1 to 2-year experience. This completely depends on various factors like geography, experience, and skills. To work for reputed companies, Grab a certification and start your career as Tableau professionals. Credo Systemz, Tableau Training in Chennai assists in developing the in-built knowledge and skillset to start a successful career with placement assistance.

Conclusion

Finally, most of the organizations use Tableau, leading tool to analyse large amount of data with its effective features. Tableau is the best career option to build a career in the business intelligence and data analysis domain with high pay in a reputed company. Learn and uplift with the right certifications.

All The Best.

Introduction

To begin with, Information technology sector is encountering a significant growth in hiring after corona lockdown when comparing last year. To emerge stronger after corona crises, we should start up skilling ourselves with the help of the following technologies, frameworks, languages, certifications and much more.

Importantly, up skilling is the process of learning new skill to enhance the skill set to start a new career or promote your career. There is a post pandemic boom in the world’s economy, which helps you to reach better position using up skilling. Let’s explore the trending technologies with lot of career opportunities which is suitable for experienced and fresher aspirants for their successful career growth.

Cloud Computing

Firstly, Cloud computing has emerged as a mature, established field as biggest enabler for Work from Home (WFH) infrastructure as the global cloud services market is expected to see continued growth. With a great need to remote work, companies accelerate their move to the cloud that increases the growth and flexibility.

To ensure maximum benefits of the cloud migration exercise, build cloud-native application as microservices using containers to replace monolithic architecture that increase quality, reliability, and reduce infrastructure costs, complexity for deployments. Cloud computing as Server less computing has endless benefit which improves the accuracy, higher functionality, delivery speed and impact of technology.

With half of all global companies predicted to become cloud-dependent by 2021, gaining cloud computing skills could be well worth the time, efforts and help to grab job opportunities. The following are the two top cloud computing services that ensure career growth with high paying salaries.

Amazon Web Service (AWS)

To start, Amazon Web Services is the lead in the Cloud computing platform which increases the need for Amazon Web Service professionals for high paying job. AWS is the fastest growing, popular cloud computing platform offering over 200 fully featured services around the world.

According to an Amazon report, AWS revenue grew 32% for Quarter 1 2021 from 28% growth in the fourth quarter. So AWS is growing in each quarter with growing AWS products like Amazon EMR, Amazon CloudWatch, AWS lambda and more. AWS certification Most importantly, AWS certification is the Amazon official certification which showcase once skill set, knowledge in handling the Cloud Services. AWS Certification is one of the top paying career options in the Cloud Computing field.

Secondly, AWS Certification validates the experts in cloud computing that helps build innovative team for improved performance. AWS certification improves your credibility which opens more opportunities for you. Importantly, AWS training in Chennai at Credo Systemz help aspirants to become cloud experts from scratch with Amazon Web Services using the help of our cloud expert trainers and placement team.

Job Roles

• Cloud Software Engineer.
• Cloud System Integrator.
• Cloud Developer.
• DevOps Engineer.
• AWS Solutions Architect.
• AWS SysOps Administrator.

As per Glassdoor report, the average AWS salary in India starts from Rs. 6, 07,000 per annum with a minimum of Rs. 3, 83,000 per annum and to a maximum of Rs.1, 537,000 per annum depending upon the company, location, skill set, experience .

Azure

Microsoft Azure is one of the best options for career because of its huge demand and its rapid growth. Azure is the second biggest cloud computing platform for building, testing, deploying, and managing applications and services like analytics, virtual computing, storage, networking, and many more through Microsoft-managed data centres.

According to Oracle’s Cloud Predictions, “80% of all enterprise workloads will move to the cloud by 2025”.Azure is a single cloud service provider that is specifically designed according to the market requirements and the job roles. It leads to higher salary, better recognition career and the few job roles of Microsoft Azure skilled professionals are,

Job Roles

• Azure Administrator
• Azure Developer
• Azure Solution Architect
• Azure Consultant
• Azure DevOps Engineer
• Azure Data Scientist

The average salary for software developer for Microsoft Azure skill in India is Rs. 525000 per year. With the help of Azure training in Chennai at Credo Systemz, you will become a successful Microsoft Azure Professional that leads to progressive career development.

Now it’s time to explore the important programming language, framework which is suitable for fresher’s to up skill them for their career growth,

Python

Python is one of the most promising career options for techies and also suitable for freshers. If you are interested in Data Science, Web Development or Machine Learning, then Python is the solution. Python is the high level, versatile programming language for creating dynamic scripts which is extensively used in Web development, scriptwriting, testing, application development and upgrades.

According to TIOBE Programming Community index, python is the top popular programming language with lot of career opportunities. Python is one of the most in demand skill which makes you good for several roles in the IT industry and they are,

• Software engineer
• Web developer
• Python developer
• DevOps engineer
• Product manager
• Data Analyst
• Research Analyst
• Data Scientist

As per PayScale, the average salary of a Python Developer is 427,293 for a fresher. The salary can go up to a maximum of 1,000,000 per annum depending on skills, experience, and job location. The average salary of a mid-level Python developer salary in India is 909,818. The average salary of an experienced Python developer salary in India is 1,150,000.

React JS

React JS is one of the most demanding frameworks in the market with enormous rise in the growth of frontend web technologies that includes web applications, websites, and apps. Some of the world’s top tech teams use React Js to design scalable, easy-to-maintain solutions — Netflix, PayPal, eBay, Airbnb, and more.

React JS is the efficient, flexible, open-source JavaScript library used for building user interfaces with improved code stability, increased app development speed and much more. With the help of React JS training in Chennai at Credo Systemz, React JS is easy to learn from the scratch using practical approach.

The React.JS developer’s salary is 733,000 with the start of INR 400,000 per annum with less than one year of experience. The early level React JS developer with 1 to 4 years experience gets around INR 540,000 per annum. A mid-level web developer with 5 to 6 years experience earns INR 1,300,000 per annum in India.

You can begin as a frontend web developer and eventually transitioned into full-stack developer, which is a combination of both frontend and backend. Full Stack development is useful in both big corporations and small start-ups for understanding the work of design and development and avoiding repetition.

React Native

React Native is the second most significant framework which is successfully adopted by hundreds of businesses worldwide across a whole range of industries including Uber, Microsoft, and Facebook, walmart, instagram etc. React Native is a popular JavaScript based mobile application framework that allows building natively rendered mobile applications for iOS and Android According to HackeRrank Report, React Native is popular amongst developers and 32% of the engineers mentioned React Native as the framework they insist to learn next. So the demand for React Native developers is enormous every year.

Importantly, the average salary for a React Native Developer is 4, 64,112 per year in India React Native Developer salary in India ranges between 1.5 lakhs to 11.9 lakhs with an average annual salary of 4.0 Lakhs.

In addition to that, React Native is useful, easy to learn with a tremendous huge community and exist among the most trending technology. Learn React Native training in Chennai at Credo Systemz with placement support.

Digital marketing – SEO

Firstly, Digital marketing also called online marketing refers to the advertising or promotion by which companies endorse goods, services, and brands to connect with potential users delivered through digital channels such as search engines, websites, social media, email, and mobile apps.

Digital marketing is one of the careers with massive growth indicating a great market potential with many options like SEO analyst, Digital marketing specialist, social media manager.

SEO is a very important part of the digital marketing industry which stands for Search Engine Optimization. It is the process of getting traffic from the free, organic or natural search results on the search engines. It helps to improve search engine rankings with quality control for websites.

Project Management level certifications

Project management professional certification is one of the top project management certification in 2021. According to a recent research by Project Management Institute, the employers will have to fill 2.2 million new project-oriented roles every year through 2027.

Most importantly, there are lot of opportunity across the IT landscape with the right IT project management certifications and courses for various projects like software development projects, network infrastructure deployments, or PC and system upgrades.

PMP certification

Project Management Professional (PMP) is the world’s top project management certification preferred by many aspiring project managers which is worthwhile with lot of career options. PMP certification training has become mandatory accreditation for almost all efficient managers.

Project Management Institute (PMI) offers the Project Management Professional certification awarded to Project Management Professional expert that is accepted who qualify in the PMP certification exam certification for project managers. Every organization employs their managers based on Project Management Professional credentials which will be equipped with the necessary knowledge.

Prerequisites for Learning PMP Certification

The eligibility for project managers to obtain PMP certification is given below,

• A secondary degree
• 7,500 hours leading and directing projects
• 35 hours of Project management education
(or)
• Four-year degree
• 4,500 hours leading and directing projects
• 35 hours of Project management education

Job Roles

• Project manager
• Project manager consultant
• PP Manager(portfolio and program manager)
• Construction project manager
• Managing a PMO office

EXAM DETAILS

• No of Questions 200 Multiple Choice Qns
• Weightage of Questions All question of equal weight
• Duration 4 Hours.
• Average Pass mark 68.5%.

Salary Details

In India PMP certified professional experience 17% increase in salary when compared to others. The Salary for Project Management Professional (PMP) is 1,755,464.The national average salary for a Project Manager is 14, 82,500 per year in India. Let’s upskill in PMP training centres in Chennai at Credo Systemz that are furnished with a classic atmosphere to acquire the PMP certification with 100% Placement Support to lead a successful career path.

Datascience

Data is everywhere!! In this modern world, millions of data are processed for every second. As Data grows rapidly, Data Scientists demand is increased and a great idea to change or start your career in Data Science. India is the second-largest country to hire Data Scientists in which the number of vacancies has been increased by 53 percent.

The skill set of data scientist includes processes like collect, analysis and manage a large set of data. Data Scientists are skilled analytical data experts equipped to solve complex problems with the help of in-depth knowledge, data processing, programming skills.

Skills required

Technical Skills

• Statistics
• Programming knowledge
• Data Management
• Machine learning
• Data visualization

Non-Technical Skills

• Business Understandability
• Communication skills
• Teamwork

Salary package

Data Scientists are in high demand, so the companies are ready to pay high-scale package. The base salary for a data scientist in India is around 8 lakhs per year. As your experience grows, your package also goes high. Due to huge demand for career opportunities in data, Data Scientist Salary package in India grown eventually for Data Analysts, Scientists, Engineers, etc.

It’s your right time to Gear up your career at Credo Systemz with Data Science Now!!Data Science Training with Python, Big Data, Machine & Deep Learning, Various Regression, Data Visualization, Theorems and Algorithms, Tableau which will make your data scientist career keep growing upwards.

Scrum master

In General, Scrum has derived framework from Agile Methodology which focuses mainly on the product development in continuous increments. It mainly deals with the process of review and adapts to deliver a high-quality product with effective reliability. It follows the different empirical approach that will be very useful when requirements are uncertain and not clear.

Due to industrial experts providing the Scrum training with valuable working exercises in this framework to showcase all the problems in your table transparently that help everybody to respond as a team to solve based on priority.

Lot of organizations like Scrum Org, Scrum Alliance, and Scrum institute are providing the scrum master examination programs. Best Scrum Master training in Chennai at Credo Systemz shares the knowledge about basic stuff in Scrum and also the role of Scrum master in Scrum with a lot of case studies related to their projects in the company. Credo Systemz offers Scrum Certification training in Chennai, specifically focus on Scrum Foundation certification and Scrum master certification.

Conclusion

Finally, due to significant growth in information technology sector, the demand for different IT roles after corona lockdown has been increased when compared to last year. Let’s make use of the above technologies, frameworks, languages, certifications to become a skilful expert.

Introduction

To begin with, the trends of Software technology changes so fast in IT field according to the need and demand of the technology. It is important to know about the latest trends of Software Technologies to choose a better career. This article provides the complete details of Top Trending Software Technologies in 2023 and about the Salary Range, Job Opportunities, Skills and the Certifications needed to pursue in the corresponding field.

• Artificial Intelligence
• Machine learning
• Data Science
• Full Stack development
• Block Chain
• Big Data Analytics

Artificial Intelligence

Artificial intelligence is one of the leading new-age technologieswith remarkable growth that tends to increase the demand with huge opportunities. According to statistics report, the global artificial intelligence (AI) marketgrows rapidly, reaching around 126 billion U.S. dollars by 2025. The AI market includes a wide array of applications such as natural language processing, robotic process automation, and machine learning.

Artificial intelligence (AI) is a wide-range of computer science concerned with building smart machines to minimise human behaviour like interpretation, decision-making ability capable of performing tasks that typically require human intelligence.

The future scope of Artificial Intelligenceis bright with lots of organizations opting for AI automation. Automation has created a buzz in the logistics industry as it is expected that automated machines can be used soon. Many AI start-ups are expected to rise in number in the coming years giving a hint of the opportunities. There is a need for AI experts by businesses more than ever which can enhance the accuracy & speed of the data analytics process.

Roles in an AI career are

• AI analysts and developers
• AI engineers and scientists
• AI researchers
• AI algorithm specialist
• Robotics expert
• Military and aviation experts
• Maintenance and mechanical engineers
• Surgical AI technicians

Machine learning

Machine learning is one of the important emerging fields which is an important aspect of automation with high demand.According to Indeed.com, Machine learning is listed as one of the top demand career option among the other best jobs with employment projected to grow 11% from 2019 to 2029.

The Global Machine Learning Market valued as $1,900 Million in 2018 projected to reach $33,517 Million by 2026; with a CAGR of 44.0% from 2019 to 2026.

Machine learning has massive potential in industries such as BFSI, manufacturing, retail, hospital and much more. Both artificial intelligence and machine learning plays a vital role in automation and be the next level technologies for the future.

Data Science

Data science is the next big technology which acts as the fundamental component in many major companies. It helps to businesses to make decisions, analyse market trends and increase profits. The demand for data scientist increase day by day in exponential rate and the required Data Science skills is expected to grow by 27.9% by 2026.

Data science is in demand because data has become the backbone of business decision-making and the amount of data generated in every industry is large on a regular basis. According to recent estimates, the total amount of data created, copied, collected, and consumed worldwide would likely to exceed from two zettabytes in 2010 to 149 zettabytes by 2024.

Roles of Data Science

• Data Analyst
• Data Engineer
• Data Architect
• Machine Learning Scientist
• Business Intelligence Developer
• Database Administrator

AWS

Amazon Web Service (AWS) is the top largest cloud provider with rapidly growing market offers countless opportunities. According to Amazon report on Q1 2022, AWS has grown by 32% with exponential growth and one of the best career options.

Amazon web service is the popular cloud-based platform suitable for every business with ready to pay services that provides scalable, cost-effective, reliable, and easy-to-use cloud computing solutions to businesses worldwide. AWS is the collective term that represents cloud computing services with worldwide servers located globally across the world.

As per Glassdoor report, the average salary for AWS professionals in India starts from Rs. 6, 07,000 per annum which starts with Rs. 3, 83,000 per annum and can reach a high of Rs.1, 537,000 per annum depending on the company, location, experience and skillset.

AWS certification is one of the in-demand certification that leads to a stable AWS career with highest paid jobs. These certifications validate the knowledge and expertise on the AWS platform that open many opportunities with number of AWS jobs.

AWS Certification helps to build a successful career even if you are a developer, system administrator, application architect, database admin, Big Data Analyst, or sales/purchase professional. It helps to create a stable AWS career is to get a relevant AWS certification with effective training along with interview tips, the top AWS interview questions, and you’ll be all ready to land a job in AWS.

Full-stack development

Full stack development is one of the top technology of 2022 which refers to the development of both client-side and server-side software. The demand for full stack developer has been increased by 30% in the past one year. The full stack development is a multi-dimensional job role with lot of opportunities and knowledge of all the layers of an application with full leadership of the project.

The skill set required for a full-stack developer

• Front-end technology
• Backend technology (development language, database, and cache)
• API
• VCS
• Server

The client-side or front end will generally require knowledge of suites such as HTML, CSS, and Bootstrap. The server side requires knowledge of PHP, ASP, and C++. According to upgrad report, the average salary of a full stack developer in India is INR 6, 23,920 per annum which is based on the factors like company, experience, location, skill set.

Blockchain

Due to the rising focus on the digital transformation, Blockchain technology has become one of the top skills with great demand. Blockchain-related jobs are the second-fastest growing job as more industries are becoming reliant on the software. Blockchain is not only spread across the world of cryptocurrencies and platforms but also is playing a significant role in industries like healthcare, infrastructure security, digital advertising, education, cloud computing, forecasting, entertainment, and many others.

The number of blockchain jobs has increased in the past few years and continues to increase. In the blockchain domain, we need knowledge in multiple programming languages, data structure, algorithms, OOPS, relational database management systems, and application development.

Roles in Blockchain technology,

• Blockchain Developer
• Blockchain Architect
• Blockchain Security Engineer
• Blockchain Product Manager
• Blockchain UX designer
• Blockchain Quality Engineer

Big Data Analytics

The demand for Big data technology is huge with steady gaining globally among enterprises to process data cost effectively at faster speed. Big Data Technology refers to the software solutions which incorporate data mining, sharing, visualisation, etc. thatembrace specific data frameworks, tools, and techniques and so on.

Big Data Analytics helps organizations to use data in an effective way to move the business into smarter with greater profits with satisfied customers. Big Data Analytics provides the effective use of statistical analysis which includes detailed and predictable Data Modeling based on current fact-based data Analytics. Business intelligence is querying, reporting, online analytical processing (OLAP).

Conclusion

This article clearly explains the top trending technology in 2022 in detail to know the current market situation and to select the right career suitable for you. Credo Systemz provide effective training for all the top trending technologies with expert guidance.

Introduction,

One of the trending word all over the industry arises in this latest technology like Artificial intelligence, Machine Learning, Deep Learning, Data Science, Big Data.

In this article am going to give clear knowledge on Machine Learning and Data Science.

Technology careers of Machine Learning and Data Science very well, but the difference between Machine Learning engineer and data scientist is highly important to distinguish.

What isMachine Learning?

In early days of Machine Learning,it’s considered as Machine Learning is a implementation of Artificial Intelligence. Machine Learning use different statistics and algorithms for data generated and extracted from multiple resources. Complex algorithms and statistics are used here for system to learn and process the data without human action.

For Example, Netflix is one of the best site for Machine learning, here based on your data , Netflix provides the recommending movies and series from your searching history.

Methods of Machine Learning:

• Supervised learning
• Non-supervised learning
• Semi-supervised learning
• Reinforced machine learning

What Exactly Data Science.?

Data Science – Skills

• Strong knowledge on Statistics, SQL databases
• Must have the knowledge on Data mining and cleaning
• Understanding Data visualization
• Unstructured data management techniques
• Experience in any Programming languages
• Tool knowledge on Big data such as Hadoop, Hive , etc.

To know more about the Data Science – Skills, please read our Article Must Have Skills for a Data Scientist

Machine Learning – Skills

• Fundamentals of Computer science
• Statistical modelling and Data evaluation
• Experience for application of algorithms
• Must have the knowledge on Natural language processing
• Working experience in Data architecture design

 

Data Science vs Machine Learning

Data Science	Machine Learning
The scope of data science is to create a useful insight using different algorithms, methods, processes and analysis.	The scope of Machine Learning is to predict the outcome of a new input same way as humans by learning from the previous data sets
Data Science is a multidisciplinary field which uses different techniques to get a useful information which are algorithms, mathematical expression, data processing, analyzing.	Machine learning uses three different types of algorithms which are supervised, unsupervised and reinforced.
The main focus of Data Science lies in Data	On the other hand the main focus of Machine Learning lies in Learning
Data Science is considered as a complete process in creating the valid information from the data we have.	Machine Learning is a part of data science or a single step in the whole process. To be clearer Machine Learning cannot exists without Data Science.
Data Scientist are recommended to understand and know the concepts of Machine Learning to work in the large set of data’s created every single day.	It is not necessary for a Machine Learning developer to know about Data Scientist until unless he works in Data Analysis part
Data Science multidisciplinary field having a lot of interrelated and interconnected techniques such as algorithms, mathematics, statistics and process methodology.	Machine Learning is not multidisciplinary and fits within Data Science.
Data Science scope is defined as predicative causal analytics and prescriptive analysis.	The scope of machine learning is for Predictive reporting and pattern discovery.
Data Science as mentioned above works by processing the data to get a useful information.	Machine Learning works by using data to self-learn without being manual interference.
Data Science uses different techniques and tools, some of the popular tools are Tableau, Big Data Hadoop, Apache Spark, Python.	Machine Learning on the other hand uses different tools and techniques which are Machine Learning Studio, Microsoft Azure and AWS if required.
Top applications that are developed using Data Science techniques are Healthcare analysis, Ecommerce, Banking.	Machine Learning techniques been used in various fields right now some of them are listed below autonomous driving, facial recognition.

Bottom Line

Data Science, Machine and Artificial Intelligence are currently considered as the hottest technologies of the current era. The method of data analysis in machine learning and model management recently is listed as the next big thing in 2020.  All the three are also been listed as the top trending technologies in 2023.

Data Science as career is been reported as one of the top position in the organization and also the latest report says the recession doesn’t affect the role of data scientist and data analyst.  Indian IT firms are expected to have a strong growth in the coming years and the number of startups, IT firms might increase in the result of good growth in data science and machine learning jobs.

Data Science course in Credo Systemz is been specially designed by experts which assist you in developing the required skill set. The course program covers the required tools, techniques, methods and more to make you a professional Data Scientist.

Fore Note:

In the RPA world, there many tools available. In this article, we will focus on the Blue Prism vs UiPath comparison. Why these two? Well, Blue Prism and UiPath are two leading Robotic Process Automation tool intended for automating different forms of application.

Take a look: Top 3 Robotic Process Automation tools

Blue Prism Vs UiPath Comparision:

Comparing tools and technologies are always Fun, It’s really interesting to play with trending technology. Let’s see how Blue Prism and UiPath are similar and what makes them differ.

Sl.Num	Blue Prism	UiPath
1	Blue Prism’s design is Client server architecture	Designed on basics of Web based orchestrator
2	Base technology C#, VB	Has C# for its base technology
3	Back office automation	Front office & back office automation
4	Advanced Queue administration	Simple Queue administration
5	Application based process	Browser and mobile access
6	Very high reliability	Moderate reliability
7	Image recognition was good but the process is complex in blue prism	Excellent recognition process
8	Interact dynamically	No options for interact dynamic
9	Unattended robot mode	Attended robot mode
10	On premise and cloud for deployment	cloud or hybrid environment for deployment

They look alike,

Blue Prism and UiPath has the reusability features which means libraries are reused in multiple project and visual Process designer.

And the winner is…

Neither, While the process used by Blue Prism and UiPath are somewhat different, but they have a common goal of your business. As a result, there is no perfect way to go about the choice of Robotic Process Automation tools. It all depends upon your needs and requirement of your projects.

Search Tags:

RPA| Blue Prism | UiPath | Automation Anywhere | Software Robots | Robotic Process Automation tools | RPA Training Topics Explore more here : Blue Prism || UiPath

In today’s world Data Science is the most exciting career which also has more amount of demand. Glassdoor’s survey report states that Data Scientist is high in demand, Ranked 1 in Best Jobs openings from 2016 to 2023. Data Science / Data Driven Science is a field which deals with data in analyzing, understanding, performing to communicate the actual insights in the data.

You might be questioning yourself What are the skills you need to know to become a Data Scientist?

Your search ends here,

Spend 5 minutes to read this article to know about the skills a Data Scientist should have.

Who is a Data Scientist?

Here is the list of definitions for a Data Scientist by top techies, A data scientist is a statistician who is wearing a bow tie.
~Hadley Wickham, Chief Scientist at RStudio

Computer guys with some quant skills who used to be called analysts.
~Neil Raden, Contributing Research Analyst at Wikibon/SiliconAngle Click here to know more about Who is a Data Scientist? & Data Scientist Salary Package in India.

Skills every Data Scientist Must Have:

The modern data scientist must have the below skills to be a professional data scientist and excel in his career.

Math & Statistics Skills for a Data Scientist:

As Data scientist you can’t avoid using Maths as you need to involve in statistical tasks. The skills that you should develop under Math & Statistic is as follows.

• Machine Learning
• Statistical Modeling
• Experiment Design
• Supervised Learning – Decision Trees, Random Forest
• Unsupervised Learning – Clustering, Dimensionality Reduction

Don’t confuse yourself, That you need to learn the whole part of Math to be a Data Scientist.

Steps to learn Math for Data Scientist and Machine Learning:

• Linear Algebra
• Calculus
• Gradient Descent

Programming and Database skills for a Data Scientist:

Programming knowledge is also important for a Data Scientist, There are many popular and potential programming languages which a Data Scientist should know.

The list of programming languages to learn as a Data Scientist:

• Python Programming
• Java
• R Programming
• Scala

Database skills:

Database knowledge is important once you have decided to deal with data’s, Hence as a Data Scientist, there is no wonder you definitely need knowledge in Database.

Skills Required for Database:

• SQL & NoSQL
• Parallel Databases & Parallel Query Processing
• MapReduce Concepts
• Big Data Hadoop
• Hive/Pig

Domain Knowledge and Softskills:

While you have better knowledge in hard skills to be a Data Scientist it is also important to have soft skills to express what you have done with maths & statistics.

• Ability to discuss with Technical and Non-Technical Team
• Ability to understand the domain and your business
• You should be very creative in what you do
• Better presentation skill to showcase yourself
• Having Hacker mindset will help to find out different ways to reach out your goal
• You should be Strategic, Proactive, Creative, Innovative and Collaborative

Above mentioned are the most needed skills expected from a Data Scientist which are collected from recruitment team in top MNCs. Our Data Science training program will help you learn all the above mentioned skills effectively so that you can be Professional Data Scientist.

Related Articles

• Data Scientist salary in India for Freshers and Experienced

Introduction

First of all, every organization expects all the employees to provide their best contribution in terms of performance, team contribution, meeting the expectations with continuous improvement using learning new stuffs. It Is very important for the employees to conduct a reality check before the annual performance appraisal takes place.

Most importantly, Every employees should prepare themselves prior for better performance appraisal to demonstrate the efforts, achievements done by you because everyone aim for their perfect pay raise or promotion to move forward in their career.

Performance Appraisal Tips

Performance appraisal is the right opportunity to demonstrate the values of you to reach the position with a raise. Let’s take a look at the 7 important performance appraisal tips for 2023 that act as step to prepare for a newer biggest step in our career growth.

Open Minded Approach

To start with, Performance appraisal is the time to receive the honest feedback from the higher officials that helps to grow and keep moving with the successful career growth. Open Mindedness is the right choice to receive the review that helps us to know about our performance in detail.

Evaluate ourselves with goals

‘We are the best critics of ourselves’

Secondly, We have to set the short term and long term goals in terms of career that help us to move forward with self-evaluation. It is very important to evaluate ourselves with our works, strengths, skills to improve, areas to excel that help us in upliftment.

Documentation with Last Performance Appraisal

It is very vital step to document the contributions of ourselves by saving the works with details. It includes your works in,

• Project development
• Team contribution
• Team building
• New technologies
• Certification and much more.

Set your goals based on the feedbacks from the last appraisal to move forward and review your progress then and there. Plan to improve yourself using training courses, certifications to meet the expectations.

Update with learning process

The employers should know about the current trends in the IT field with fast changing technologies. Update yourself with continues learning process with latest certifications before and after the appraisal discussion. Learn and Pursue new skill sets that leads to uplift in the organization with high pay scale as well in career which takes to a better future.

Express positively

Express your concerns with a positive mindset and be ready with questions to know about your standthat helps to progress in the right way in the future. This session will be beneficial to get a strong clarification with the higher official’s mindset that helps for the betterment.

Learning New-age Technologies

As technology is fast growing, it is much need to learn new technologies to survive and growth in the IT field. Learn new trending technologies like

• Data Science
• Cloud Computing
• Machine learning
• Angular

Certifications help to increase the knowledge and skillset that helps to grow with new responsibilities, opportunities at work place. It will add value to you and lets to a pay rise.

Keep Track of the progress

Always keep track of the progress with the skills, programming languages, technologies, frameworks using continuous learning that leads to improvement in the career path. It helps to check ourselves often and helpful for future reference.

How to update yourself

• Preform self-evaluation with the above performance appraisal tips that helps to evaluate ourselves which leads to the further steps in theimprovement process.
• Improve with continuing learning using the right choice of online courses to advance in the career.
• Always know about the market changes and stay with the current changes in terms of technology using best practices.
• Set goals and achieve them based on the previous feedbacks that help to update ourselves.
• Earn the right certifications and master in the skills with the most in-demand technologies to keep up for the long term.

Conclusion

Finally, it is the high time to self-evaluate before the Performance appraisal that helps for improvement and future growth with the right course, certifications, trending technologies for further career growth.

Also Read

• Trending Software Technologies 2023
• Top Skills to get a Job in MNC’s