Unleash a wave of lucrative New Age career opportunities for skilled Data Scientists and Analysts

Big data has revolutionized nearly every industry. Whether it’s social media or FMCG, every industry has started utilizing big data; and hence, the demand for data scientists and analysts is sky-rocketing.

In the following points, we’ll explore the scope of data science and analytics careers to find out why it’s worth pursuing a career in these fields.

Fintech CareerJobs of the future – scope of data science and analytics

Data scientists and analysts are big data professionals, which is becoming one of the fastest-growing sectors globally. Experts predict that the global big data market size will grow from USD 138.9 billion in 2020 to USD 229.4 billion by 2025.

Big data market size will grow at a Compound Annual Growth Rate (CAGR) of 10.6% during this period, a substantially high speed when you compare it with other industries.

Data scientists and analysts help companies in tackling modern business problems by gathering insights from large amounts of data. From social media to finance, companies of various industries rely on these experts to utilize big data effectively.

Many experts predict that over 14,000 jobs will become obsolete by the end of this decade. Most of these jobs will be lost to automation and changing industry trends. Hence, it’s vital for you to pursue a career in a field that keeps up with the industry’s demands and offers long-term job security.

Data science is quite a new sector. Joining data science courses and starting a career early in this field would help you greatly in advancing your career. If you check the data science course details of most programs, then you’d find that the average data science course fees are very reasonable.

Jobs with great pay – data science and analytics attract lucrative salaries

There’s a lot of demand for data science professionals. So, companies pay lucrative salaries to eligible professionals for these roles. Some of the highest-paying jobs you can get after completing the data science course in India include Data Analyst, Business Analyst, and Data Scientist.

For example, the average salary of a business analyst ranges from INR 2.73 lakh per annum to INR 10 lakh per annum in India. A proper data science course with placement support can help you start your career right away with such roles.

How to pursue a career in data science and analytics

Pursuing a career in data science and analytics can help you tremendously. You can open multiple doors of opportunity for yourself by developing the required skills for this industry.

The best way to learn about data science and analytics is by joining a data science course in India. The best data science courses in India will provide you with dedicated guidance and mentorship, along with a structured curriculum to study from.

Most of the attractive data science courses have quite reasonable fees. Some of the important skills you can learn in an online data science course in India are predictive analysis, machine learning, R, statistical analysis, and plenty of other data science skills.

Joining an online data science course in India would be perfect right now as it allows you to study from your home without going anywhere.

Conclusion

We hope that you found the above article on the opportunities of data science and analytics useful. You can easily start a career in these fields by joining a data science course with placement support.

Visit our site to get additional data science course details and learn more about the best data science courses in India.

Become A Data Scientist And Start Your Career With A-list Firms !

Become A Data Scientist And Start Your Career With A-list Firms !

If you’re wondering why data science courses have become so popular recently, then it’s because the demand for data scientists is very high among A-list firms.

In the following points, we’ll discuss some of the biggest companies that hire data scientists and how you can start a career in one of them by taking an online data science course in India

Top companies that hire data scientists

Microsoft

If you’re using a PC, then you’ve probably heard of Microsoft already. Microsoft is a software development company and powers millions of computers throughout the world through its Windows operating system. The average pay of a data scientist at Microsoft is $136,000 per year.

Uber

Uber is an online cab-hailing service that has become widely popular due to its innovative solution. It uses data science to improve its operations, optimize route selection for drivers, calculate better fares, and a plethora of other tasks. The average pay of a data scientist at Uber is $139,000 per annum.

Pinterest

Pinterest is a social media platform for sharing and finding images. Social media platforms require the expertise of data scientists to help them enhance their algorithms and offer a better customer experience to the users. The average pay of a data scientist at Pinterest is $212,000 per year.

Google

Google is probably the most popular tech company in the world. It is also among the best employers for data scientists. The average pay of a data scientist at Google is $138,000 per year. Being a simple search engine, Google has expanded into a large tech enterprise with various subsections.

How to become a data scientist

As you can see, becoming a data scientist can help you bag lucrative jobs in some of the world’s top companies. Starting a career in data science is quite easy as well.

You will need to join a data science course in India to learn the necessary skills for this role. Online data science courses have become increasingly popular among students and professionals alike who want to start a career in this field.

You should look for data science courses in India that teach you the latest in-demand skills such as R, statistics, predictive analysis, Hadoop, and Spark. It would be best to get a data science course with placement support. When you join a data science course with placement support, you get the opportunity to start your career right after completing the online data science course in India.

Be sure to check the relevant data science course details (such as data science course fees and eligibility requirements) while looking for data science courses in India.

Conclusion

The companies we talked about aren’t the only ones that hire data scientists. Data science professionals work in numerous sectors as well, including finance, education, healthcare, and manufacturing.

Online Data Science Courses in India

Now, you know that you can start a career in this field by taking a data science course in India, you should head to our site where you’ll find more data science course details, including the data science course fees, requirements, and curriculum.

Take That Next Step Towards a Rewarding Data Science & Analytics Career With These Analytics Courses

Take That Next Step Towards a Rewarding Data Science & Analytics Career With These Analytics Courses

Are you interested in completing a data science course in India but don’t know where to start? Then you’ve come to the right place as we’ll discuss the top data science courses in India and learn how they help you start a career in this fast-growing industry.

All of the courses below have reasonable data science course fees and you can choose according to your requirements and aspirations.

Data Science and Analytics CareerWe’ll discuss the data science course details of our programs in the following points:

Post Graduate Program in Analytics and Artificial Intelligence

Our post-graduate program in analytics and artificial intelligence is among the most popular data science courses in India. We offer this program with UCLA Extension. It is a data science course with placement assurance which means you will get access to our dedicated placement support to our private placement portal and additional services.

The program gives you a dual certification from UCLA Extension and Imarticus Learning. UCLA Extension is one of the oldest and largest higher education providers in the United States. Some of the key concepts you’ll study in this online data science course in India are Machine Learning Algorithms, Deep Learning, Computer Vision, and many more.

Machine Learning and Deep Learning Prodegree

Machine learning refers to the field of developing computer solutions that can perform tasks and learn from them without requiring human intervention. Our Machine Learning and Deep Learning Prodegree will help you learn the required skills to enter this field as a skilled professional.

We offer this program with IBM. The course teaches you machine learning, Python, IBM Watson, and deep learning through 16 in-class and industry projects with a Capstone project as well.

Post Graduate Program in Data Analytics

Our Post Graduate Program in Data Analytics teaches you data science from scratch. It is among the best data science courses for beginners as it covers all the required concepts.

You will learn the foundations of data science and its in-demand tools including Python, R, PowerBI, Tableau, Hadoop, SQL, and Spark. Like our other programs, it is a data science course with placement support to help you start your career right away.

Data Science Prodegree

We offer our data science prodegree with KPMG. The program is industry-aligned and teaches you the most in-demand skills in the industry. You will work on real business case studies and receive project mentorship directly from industry experts.

This online data science course in India teaches you SQL, programming, Tableau, statistics, R, Python, and many other important concepts. You will also work on a KPPG in India Capstone Project by the end of this data science course in India.

Conclusion

Starting a career in data science and analytics is quite simple. All you need is a little effort, commitment, and guidance and the rest is easy.

Now that you’re aware of our data science course details, you can start your learning journey right away. You can find out more information on our data science course fees and eligibility criteria on our website.

Career in Machine Learning – Check Job Profiles, Top Courses and Colleges, Fee Structure

Professionals in the sphere that is Machine Learning are very important and sought after in the Information Technology Industries across the globe. Through Machine Learning, human work has reduced significantly and boosted efficiency.

Machine learning has also helped reduce errors and a large number of companies have begun automating their systems. Business systems are using machine learning training to reduce costs and improve productivity along with performance as a whole.

Data scientistThere are a variety of career parts to pursue in the sphere that is Machine Learning and the positions offered are very rewarding.

Career Paths for Machine Learning Aspirants

  1. Software Engineer: Software Engineering aspirants need to know the nitty-gritty of code writing fluently as candidates will be needed to create code that would support the creation of specific algorithms. Using principles from engineering with computer science within mathematics from an engineering degree, designing and developing software is what computer software engineers are responsible for.The candidate for these jobs is required to have skills in listening to and understanding clientele requirements on a more detailed level. Along with this, they are also required to create a system in accordance with clientele parameters.
  2. Software developer: The job of a person in software development entails creating flow charts to assist coders in their work. Software developers are known to be the true brains behind any computer program. They are responsible for creating models, illustrative representations, strategic groundwork, and plotting out the required working of a complete system. They are required to test machinery and look at the working of each component.
  3. HTML Designer: These designers are involved in the creation of software for various social media platforms, big online stores, and banks as well. In banks the designs they put into effect help in increasing the number along with the efficiency of bank transactions that are managed and done online including those done electronically.
  4. Data Scientists: Involved in the procedure of analysis, they are responsible for utilizing data to find out vital information using inspecting and modeling processes.
  5. Computational Linguistics: The job of a computer linguist holds candidates responsible for helping computers in understanding spoken languages and to constantly improve currently existing systems.
  6. National Language Processing Scientist: The people in this position are needed to do the designing and development of machines and also applications that can learn patterns and translate various words imputed by a speaker to various other languages.

The demand for professionals in the area that is machine learning is growing every day. Various other career paths in this area include Data Analyst, Cloud Architect, Intelligence Developer for a Business and also Data Architecture.

Best Courses and Facilities for Training within India

The top 3 machine language courses available in India are listed below. Students,

professionals in analytics and also data scientists pick the finest programs to increase their skills and improve themselves.

  1. PGP in Machine Learning & Artificial Intelligence offered by IIIT-B
  2. Offered by IIT in Hyderabad is Fundamentals of ML
  3. PGP in Artificial Intelligence along with Machine Learning

Colleges Offering Machine Learning Courses

The various colleges offering machine learning courses in India are listed as follows:

  1. Indian Institute of Technology, Hyderabad
  2. DY Patil International University
  3. University of Petroleum and Energy Studies
  4. Jain University, Bangalore
  5. Sharda University
  6. Indraprastha Institute of Information Technology
  7. Vellore Institute of Technology
  8. SRM Institute of Science and Technology
  9. Dehradun Institute of Technology University
  10. SVVV (Shri Vaishnav Vidyapeeth Vishwavidyalaya)

How Do Imarticus Online Internships Help in Students’ Learning And Placement?

The online-driven workplace that businesses currently employ ensures the availability of countless career opportunities. And, the ones with technical skillset requirements are getting quite some traction.

Notably, the demand for such career options seems to be growing even in the near future. Considering this, there also comes a demand for skilled students ready to take the industry by storm.

While there are multiple ways to gain the required skill set for a job opportunity, the best of them are acquiring certifications and taking online classes or courses.

Besides, it is always better to have hands-on experience in your domain before entering a permanent job. And, internships are the best way to gain the required skills and desired attitude to excel in a job.

Online MBA Education CoursesWhy go for internships?

Nowadays, employers expect a candidate to be the best in skillsets when they just enter the organization. So, they have to invest less time training them. In order to gain a moderate to the professional level of skill set before even entering a job, internships are the best way. This is the reason internships are always recommended.

Now, let us take a look at how you will be benefited from an internship.

Real-life, industry-based projects: Though study programs, including offline and online learning modes, tell what your job will actually require you to do, in real life, organizational projects are way more difficult and challenging. So, once you get into an internship, you will be given a real-life experience of such projects. It would be really difficult to perform tasks initially. But, with the help of your team members, you will be able to complete your tasks and overcome challenges, thereby improving your skills and enhancing your knowledge in the process.

fintech CareerProper personal exposure: During an internship, you are exposed to much more than just technical issues. That is, you will get a guided exposure to company conferences, meetings, discussions, etc. This way, you will be meeting people from several departments. All the above will help you gain an understanding of how an organization runs and how various people and departments interact with each other. This will give you a good experience in business understanding and interpersonal skills.

A chance to develop your skills: You will be put through various projects where you will be facing different types of challenges in almost every step. To get the work done the right way, you will need to communicate with your team members and heads. This will help you acquire information on the process. Also, this will help you improve your communication skills. Further, internships offer opportunities to improve your skills related to organizational operations and project management.

By the end of an internship, you would have gained proper knowledge about organizational working, project plans, and essential technical and communication skills required for project progress and completion. With practical exposure, internships in association with theoretical knowledge of the domain offer the much-needed push to be the desirable candidate during placement drives or walk-in interviews.

Boost your Career and Secure a Job During the Pandemic by Availing our Great Fightback Offers today!

Imarticus Learning introduces the ‘Great Fight Back Offer’ where you can sign up for selected courses and avail of good discounts for a limited period from 26th April-30th April 2021. Sign up today and avail of up to 30% Flat Off on placement-oriented, future-skill professional training programs.

 Covid-19 has changed the ways we lived. We are living amidst new normalcy, and we hope it fades out soon. Before we can unmask and return to normal, safety and health has to be a priority for all. The latter priorities being livelihood!

Yes, patterns of the industries have shifted, and employment and recruitment processes have changed. The parameters and eligibility criteria are moving to different alignment rapidly!

Does it put a question in the mind of what to do to advance and keep up the pace?

Well, the answer is simple to update and upgrade your skills. Those looking for an advance in their respective careers can look for new-age career programs. While those falling short of opportunities can consider shifting their career into a different industry.

Learn Data AnalyticsA practical approach and expert advice can work wonders for any task as it lays down a strategic path to be followed.

Upgrade for New Age Career with Imarticus

Imarticus Learning has transformed many careers by enabling aspirants to acquire in-demand skills using an ‘Industry-First approach.’ The idea is to prepare a talent pipeline for the jobs of tomorrow!

With the growing commercial and technological advancements in the global markets, Finance, Analytics, Technology, and Marketing are the industries that tend to secure the top-most position in terms of job opportunities.

These industries are rapidly becoming one of the most lucrative careers in the business world. Finance and Analytics Courses play a significant role in data evaluation for businesses to streamline decision-making processes. Technology simply helps to implement the strategy coming in through management.

‘The Great Fight Back Offer’

Why let Covid ruin your career when you can upgrade and become a skilled new-age professional! With the online learning mode of Imarticus, you get the facility to learn at home, thus, remaining safe and ensure productivity in the spare time.

Register today and empower your career prospects most affordably!

How Data Science Training Will Ensure Business Continuity In The Post-Covid World?

Lockdown restrictions have pushed us into recession along with a health crisis we have never seen before. Businesses are struggling to make ends meet, and many have had to take tough decisions like layoffs, frozen hiring, salary cuts, and more. The year has also shown us how vital digitalization is and why data science is the driving force in the post-COVID era.

One of the most prominent examples is remote work and how people have adapted to such a form of work. Businesses are accepting digital tools to optimize their functionality, and this is where data science comes in.

Digital tools not only help businesses measure ROI but also determines every small or big aspect like regulating spends, analyzing the long-term impact, and more. The change is making more companies include AI, VR, AR, and cybersecurity to transform their businesses.

Why is data science essential for business continuity?

Here are some of the reasons why adopting a data science course is crucial for current and aspiring businesses leaders:

Analyzing and forecasting

The pandemic gave us clarity of how uncertain times can be. Businesses can go through drastic changes due to such conditions unexpectedly.

With the help of data analytics, we can predict our future better. It helps us analyze risks and develop strategies to mitigate them.

Companies can use historical data from the current situation to estimate t

he trends of the future. Data science training can also give us cues of future obstacles and how to handle them efficiently.

Data Science course

Moreover, historical data can help plan different outcomes of businesses during an unfortunate phase.

Assessing resources for maximum utilization

While analyzing risks and mitigating them fast can prevent disrupting business processes, knowing the way to put resources to use during such times is also crucial.

Every company needs to imply analytic practices to get through critical times and understand the state of their business.

One example of this would be setting up an analytics team for finance. The process will help a business find how changes in the economy can or are affecting their business. Data assists in allocating resources and promotes effective decision-making.

Identify Opportunities

When you adopt data science, you can identify new opportunities for business continuity. The process of analyzing available data resources helps catch loopholes early and find new possibilities to overcome them.

Currently, most companies are aggregating COVID data and combining the same with employee data. It helps one understand better ways to support employees in this crisis. For example, updating a dashboard to check geographical data helps offices take preventive measures or recommend closedown. HR’s are using such data to determine if offices are safe to open or not.

Necessity of cybersecurity

As soon as you step into the data science career, you will know how critical cybersecurity is. It is the most vulnerable risk that any form of data can pose.

Much of this has been at stake since people have been working remotely. There is also an increase in cloud services, which need constant technical tracking, maintenance, and recovery.

Even when companies work remotely, they have to imply IT security to safeguard data exposure and threat. Data science and AI give us solutions to cyber threats and monitor network traffics more effectively across VPNs. It quickly detects points of breaches and infringement in real-time.

Helps in quick changes of services

E-commerce and retail industries use data science and AI to attract customers; both online and offline. Companies now leverage AI-powered solutions to get insights into changing consumer demands. Such data helps optimize the supply chain and minimize disruption.

Data Science CareerThere is a high usage of AI chatbots to get quick solutions to external factors. These chatbots communicate with customers, answer their questions, and record their responses. It is assumed that the usage of chatbots will multiply by 50 times compared to what it was before COVID.

Final thoughts

Business continuity is critical and crucial. More and more companies need to incorporate data science to make businesses effective and reliable. While it has been vital for a long time already, it will become non-negotiable in the post-COVID era. The above-listed reasons give you a brief insight into the bigger picture and why data science is the future of your business goals.

Reinvent Your Career With Discounted Programs Against The Pandemic!

The COVID-19 is likely to set different industry trends, opening up potential corners related to technology and finance. With the globe adopting the new normal of the 21st-century pandemic, thoughts turn to what comes for those looking for careers in finance and analytics!

With the removal of lockdowns and lifting of restrictions, economies are stimulating. Safety and wellness remain a priority for everyone. The pandemic presents an opportunity to explore the hidden potentials and secure jobs in finance, technology, and analytics through training for future in-demand skills. This calls for the advancement and upgradation of professionals and businesses.

Jobs of Tomorrow:

According to research, “97 million new roles will emerge by 2025, which will be more adapted to a new division of labor between machines, humans, and algorithms”. Such roles are already in demand, including data analysts and scientists, AI and machine learning specialists, robotics engineers, Fintech experts, and business analysts. Organizations need a back-up of an exemplary talent pipeline to implement technologies appropriately.

In this situation, job roles related to technology like cybersecurity experts and data scientists will be in-demand to secure organizations’ surface area from potential risks. This digital transformation increases the reliability of skilled and well-trained professionals.

It’ time to fight back and reclaim control of your career with a strategy that helps you succeed, i.e., intensive training and upgrading.

Fight Back Covid With Imarticus and Prepare!

Many may lurk into uncertainty on where to start?

Well, you definitely can’t sit still and let Covid ruin your career. At Imarticus, we assist you in fighting back by becoming a skilled New Age professional.

We provide a platform for you to invest time into E-learning and new-age career programs. Imarticus learning addresses all your future needs through intensive training that helps you secure a job in top companies in the industry.

While the pandemic may be a problem for others, at Imarticus, we turn this into an opportunity for you. Avail up to 30% off on our placement-oriented future-skill professional training programs and upgrade to the New Age career of your dreams! Imarticus understands your passion for your profession; thus, our ‘industry-first approach’ and industry-academia gap bridging idea prepare aspirants for job placements.

Data scientistBe it a new-age career in analytics, or a career in finance, or a career in marketing, Imarticus learning is focused on skill retraining and upskilling for jobs of tomorrow.

We offer MBA certification courses and management programs for recent graduates, young professionals, and executives. Our programs have been assisting professionals in developing critical thinking, retrain, enhance knowledge, and develop careers strategically for years. Now it’s your turn to enroll in our new-age career programs.

MBA Certification ProgramsImraticus learning aims to train you for in-demand skills, extract insights, and improve decision-making. This is a golden opportunity to enroll in over ‘3000 hours’ of advanced E-learning classes that polish you into an asset for many organizations. Imarticus offers a fee waiver, with discounts up to 30%, which is an exclusive offer during this pandemic era.

Rather than Covid-19 hampering your career dreams, Imarticus lets you turn the tables and explore the potential through learning programs. Sign-up today for these tailored programs to claim control of your careers.

Imarticus Learning strongly respects the power of time and wishes professionals to be productive while staying home during the pandemic. The online e-learning programs are curtailed exclusively for professionals to explore their skills through our programs. Enroll today to avail exclusive discounts on job-centered training programs that add a badge of knowledge and acumen to your career.

Believe it or not, this is the best way to fight back COVID while staying safe at home and boosting careers!

Solve Real-world Text Analytics Problems With NLP!

Solve Real-world Text Analytics Problems With NLP!

Natural language processing (NLP) helps machines analyze text or other forms of input such as speech by emulating how the human brain processes languages like English, French, or Japanese. NLP consists of ‘natural language understanding’ and ‘natural language generation’ which help machines create a summary of the information or assist in taking part in conversations.

With the advent of natural language processing, services like Cortana, Siri, Alexa, and Google Assistant are finding it easier to analyze and respond to requests from users. This is opening up many new possibilities in human-machine interactions and helping improve existing systems and services.

In this article, we will cover how NLP is helping provide solutions for various requirements of text analytics in different sectors.

Significance of NLP in modern times

data analytics courses

NLP can analyze massive amounts of text-based data with consistency and accuracy. NLP courses help summarize key concepts from large unstructured complex texts. It also helps in deciphering or analyzing ambiguous statements or sentences. It can draw connections and also investigate deeper meanings behind seemingly normal data in the form of text.

With the massive amounts of randomized forms of textual data that is generated on a daily basis, automation is highly necessary for this field to analyze the large amounts of data from text efficiently and effectively. Ranging from text posted on social media to customer service, natural language processing is powering text analytics which is making life easier for both consumers and corporations. 

How text analytics along with NLP is helping businesses? 

Text analytics can be described as a process of analyzing a massive or specifically targeted volume of unstructured textual data and translating it into quantitative information to gain valuable insights through patterns and trends.

With the help of additional visualization of this data, text analytics allows corporations to understand the sentiments, deeper meaning, or compact information behind this data and helps them take data-backed or data-centric decisions for improved results through better performance or profit.

These companies collect massive amounts of unstructured textual data from sources like social media, e-mails platforms, chat services, and historic data from previous interactions or third parties. This could prove to be a challenge without the help of natural language processing which powers text analytics, helping analyze the massive amounts of data without the need to stop or for human interference. 

The same amount of data, being manually processed seems like an impossible, never-ending task. Manually processing even a tiny bit of the colossal amount of data that is generated daily would definitely take a lot of manpower. Hence, it is not cost-effective and would also lead to inaccuracy and duplication. This is where text analytics comes to the rescue.

With the help of text analytics, companies can excavate meaning and sentiments from unstructured textual data sourced from social media posts, content inside e-mails, chat services, and surveys or feedback. 

This helps businesses identify patterns and trends which lead to providing customers with improved experiences by analyzing service or product issues and customer expectations through market research and monitoring with text analytics.

Natural Language ProcessingHere are some real-world applications of text analytics and natural language processing:

Customer care service

Data generated from surveys, chats, and service tickets can help companies improve the quality of customer service by increasing efficiency and decreasing the time taken in resolving problems.

Illegal activity and fraud detection 

Text analytics helps in analyzing unstructured data from various internal or external sources to prevent fraud and warn governments or companies of illegal and fraudulent activities. 

Natural Language ProcessingSocial media analytics

Text analytics is being used by brands to analyze customer preferences and expectations through the extraction of sentiments and summarized opinions from textual data sourced from social media platforms like Facebook and Instagram. 

Text analytics and NLP are increasingly becoming more effective for companies to depend on and encouraging them to take more data-backed decisions. This need is making way for better, more accurate, and faster analytical tools and technologies in the future.

Python for beginners – What is Python And Why Is It Used?

Python for beginners – What is Python And Why Is It Used?

Python is arguably the most extensively used programming language in the world, which has so many applications and advantages. In this article, we will cover why Python is so popular and why it is used, even though there are multiple other programming languages, which are almost as versatile and powerful as this popular high-level language.

The Dutch programmer, Guido van Rossum started working on what would be later known as Python during the late 1980s. Python 2.0, the version that actually took off and made its place as one of the most important programming languages in computing history was later released in 2000 with multiple empowering features for programmers and developers.

Python 3.0 was released in 2008 with much better support and functions, which made this and the later revisions or versions of Python 3.0 the most popular and preferred installments of this interpreted language. 

Python is one of the most highly used languages due to it being quite friendly and easy to learn for amateur programmers and budding developers. Python can also be stated as one of the most accessible languages due to its simplified version of syntax and its simple approach through natural language.

Python for data science codes is easy to use and write, and future developers find it comfortable to learn this language. Hence, Python is extensively used in daily applications in various fields and it is executed rapidly as compared to other languages. 

What is Python?

Python is an open-source high-level programming language that was initially released as Python 0.9.0 in the year of 1991. Being created with the vision such that it is easy to read, it was truly a high-level interpreter language which was a blessing to computing and IT and could be used for all kinds of purposes. Python follows an object-focused process to assist coders to use simple and logical codes for various kinds of projects.

Python is highly appreciated due to its code readability and it allows developers to take a simple yet capable approach to work on various projects. Python is a truly high-level language as developers truly prefer Python and a huge variety of complex programs are written with the help of this popular programming language. Python is highly preferred in the fields of data science as it helps developers create data models and environments for processing and working with data or advanced analytics.

Why is Python used?

Python was written in C, which with the initial default implementation known as CPython. Python is an interpreted language and like how interpreters function, when a program is written with Python, the source code is converted into an intermediate language, which in turn converts the result into the native language of the system where the program will be run.

Interpreters are computer programs, which directly execute what is written with the help of programming languages. Interpreters like Python don’t require to be compiled into a machine language before being run or executed. Interpreted languages like Python fundamentally use a few processing models for running programs or scripts:

  • Python parses the source codes and performs its behavior without any indirect approach.
  • Python translates source codes into very effective intermediate language conversions, which assist in the immediate executions of scripts.
  • Python efficiently stores precompiled codes and scripts created by compilers inside interpreter systems. 

Python is preferred by budding developers and students due to it being extensively used in mainstream applications and development. It is open-source and is easy to learn, and thus, it is a great idea to invest some time and resources into this highly used programming language. It is highly in demand and individuals skilled in Python or having expertise in this interpreted language are always required by organizations and companies.