Grab Deal : Flat 30% off on live classes + 2 free self-paced courses! - SCHEDULE CALL

- Data Science Blogs -

Data Science Career Path - Know Why & How to Make a Career in Data Science!

The need for Data Scientists has tremendously outgrown ever since business data generation & consumption has extremely increased. Data-driven businesses are craving for Data Science because it helps perform effective data analysis, without any complex routine, deadly costs, time & effort. The Data Science solutions are in heavy demand right now, & so are the Data Science career options.

In such need, are you doubtful about the how & why to pursue Data Science Career Path or more specifically...

Then we are sure you might be surrounded by these questions for sure...

  1. How does the Data Science career provide a stable platform? Is Data Science a good career and how is the Job Demand for it?
  2. Which IT companies are hiring for Data Scientists?
  3. Is Data Science easy to learn? What should be my educational or technical background to build a career in Data Science?
  4. Which Data Science careers I should go for - Data Science with R, Data Science with Python, or NLP Data Science?
  5. Can I earn a very good salary in Data Science technology?
  6. How easy is it to get jobs in Data Science technology?
  7. Is it compulsory to write Data Science Certifications, if yes; which ones?
  8. What are the steps of starting a career in Data Science?
  9. Can an experienced professional from another field, switch to the Data Science domain, without difficulty?

It’s quite natural to have these doubts, especially when you are branching towards a new popular skillset. A Data Science career is a perfect choice in terms of reskilling with. With data generation & consumption in every second, the data analysis is a blessing for businesses to understand & consume data for better business outputs.

If you are determined to learn Data Science, go ahead & follow this complete Data Science career path/guide.

Data Science Career Path

Data Science History, Present & Beyond!

Find out when Data Science technology was coined & why it is of utmost importance even till now in small scale, medium & big scale enterprises -- before you plan to build a career in Data Science.

When was the Term Data Science Coined?

  • Term Data Science dates back to 1974, which was proposed as an alternative name for computer science by Peter Naur. But that time, the term was still debatable & didn’t make a solid existence.
  • It was Chikio Hayashi in 1998, who argued for naming the concept that covers aspects of Data collection, design & analysis as “Data Science”.
  • And talking about the term “Data Scientist”, it was first coined by DJ Patil & Jeff Hammerbacher in the year 2008. And ever since then the title has been gaining huge recognition & job listings from huge amounts of companies.

Why do companies leverage Data Science technology?

Big Data is an important tool for big businesses & industries. The availability & interpretation of big data is needful for business models to elevate.

Data-concentric businesses are worth $1.2 trillion (which is an increase from $333 billion in 2015).

Data-driven companies are drooling over Data Scientists to help them:

  • Explore, cleanse & break down the huge datasets into meaningful & understandable information.
  • Build strategic algorithms & software that can help determine optimal operations.
  • Get a forecast of business needs to execute successful decisions.

Why companies are looking for skilled & certified Data Scientists?

Companies need Data Scientists to:

  • Collect the data from various sources.
  • Transfer datasets into a new format for further analysis.
  • Create strategic frameworks for collecting the data.
  • Developing tools & solutions to automate data collection.
  • Finding trends, patterns from the raw data to make it look more usable, understandable by businesses.
  • Create business reports & presentations for effective display of translated information.
  • Correlate the similar-looking data for more concise & actionable results.
Data Science Career Path

Data Science Career Opportunities - Data Science Job Trends Globally!


Increase by 364,000

Data Scientists are expected to be on a sharp rise. By 2020 end, IBM has predicted the Data Scientist positions will increase by 364,000. There can be around 7,00,000 total openings for certified & skilled Data Scientists.


More Than 11 Million

It has been predicted that there will be more than 11 million jobs for the combination of Data Science & Analytics. After the popular country US, India will be the next hotspot for Data Scientist vacancies.

Read: What Qualifications Are Required To Become Data Scientist?



The demand for data scientists is not concentrated in just the IT sector, it is today in every sector be it retail, BSFI, healthcare, banking, manufacturing, eCommerce, and more where a large amount of data is collected & processed for analysis.

Even during this pandemic time, there are 3 Reasons why Data Science is continuing to grow as compared to other work industries or technologies:

Data-Driven organizations earn proven ROI, and by investing in effective analysis, they can put a stop to their wasteless efforts & costs.

Data Scientists can easily work from home despite any hindrance in physical work locations.

Data Science is extremely needed in today’s scenarios. Companies are hiring Data Scientists to forecast market trends, evaluate pandemic-related behaviors, build new & improved business models to extract opportunities for businesses to excel.

Data Science is the hottest market right now. Planning a career in this technology is a soluble choice if you want to change careers, jobs, or are wanting to build a long-lasting career from start.

Top Companies Hiring for Data Science Professionals Globally!

Data Science Career Path

What all Data Science Career Profiles I can Choose From?

Here are the 4 explicit variations that you can pursue under Data Science technology, despite your technical or non-technical work & educational background.

Data Scientists

If you are interested in leveraging maths, data modeling statistics, analytics, along with business sense to solve business’s vexing problems for helping them take objective decisions --- Then you can choose to be an overall Data Scientist.

Data Scientist With R

R is a very popular programming language cum data analysis software. If you are interested in learning & using this language to conduct data analysis, statistical analysis, Data Visualization, and predictive modeling --- You can choose to be a Data Scientist with R language.

Data Scientist With Python

Python is an open-source, high-level programming language that is considered best for object-oriented programming. Python has a great deal of usage in Statistical analysis & scientific function. If you wish to perform data exploration & analysis with Python & its Library Pandas; NumPy; SciPy, you can choose to be a Data Scientist with Python.

NLP Data Scientist

NLP (Natural Language Processing) is a further branch of Data Science that attempts to read, extract, and derive insights from the text or human language to help businesses scale. If you are interested in analyzing, modeling structured or unstructured data using advanced statistical techniques, and implement software & algorithms to analyze data --- You can choose to become an NLP Data Scientist.

Data Science Career Path

What Educational Background/Prerequisite Skills I Need to Pursue Data Science Career Path?

“Having doubts about starting a career in Data Science despite non-technical work & educational background?” Building a career in Data Science is possible to follow for every individual from technical to non-technical work & educational backgrounds. (Yes, even you reading this)!

  • To start a career in Data Science, focus on having a basic knowledge of Data Science as data analysis technology, its application, benefits, purpose, and more.
  • You don’t need to belong from any technical work profile or educational background to start a career in Data Science. You can be from any work/education field and still build a profound career in Data Science & Analysis.
  • If you are from some IT background, it's great, it gives you an extra edge to get started with your Data Science career training journey. But, in case you are from a Non-IT background; take it as an opportunity to accept this challenge of learning a new skill & mastering it by practicing well. You can definitely learn this technology well with a little hard work, training, and practice of course (Learning Data Science is no Rocket Science 😊).
  • You can be a recent college graduate or some advanced professional stuck in some stagnant work profile, and still branch out towards a future-proofed Data Science career. You just have to display little dedication, and for rest, our real-field expert trainers will leave no stones left unturned to transform you into a skilled & professional Data Scientist.
  • We still get quite a lot of enrolments from individuals who aren’t from any particular career & work profile and are showing great dedication and willingness to shape their career into this famous Data Analysis world --- which is the need of the hour.
Data Science Career Path

Data Scientist Salary - What Salary Can I Earn As Data Scientist?

Check out the different Data Scientist roles Salaries in 4 popular countries in the U.S, UK, Canada, India.

Read: How Satistical Inference Like Terms Helps In Analysis?
USA flag USA flag
India flag India flag

Want to Know Some Tips to Attract a Higher Salary from the Starting Level?

You can try to follow these tips if you are too scared that entry-level Data Science jobs won’t get you that fat juicy paycheck as desired.

Relocate to the countries where pay scales for Data Science roles are quite higher than others!

  1. You can relocate to top-places like the UK, USA, India, Canada, Australia as here the pay scale is good.
  2. The demand for Data Scientists is exceptionally high globally. You will easily find jobs throughout the globe.
  3. Just take a quick Data Science Training online, and then move out where Data Science career opportunities seem to be huge.

Keep on learning new concepts & things around Data Science!

  1. The aspirants who reflect high-level knowledge, get great recognition & preference in demanding salary as desired.
  2. Better focus on keeping the learned concepts intact & grasping the latest knowledge & innovation around Data Science practices from its communities, forums, whitepapers & more.

Surround yourself with Data Science Experts!

Be around the industry’s Data Science experts as it will help you with knowledge building as well as attract lucrative compensation opportunities.

Work hard & keep your self-belief intact!

Hard work & self-belief can do wonders!

  1. In the end, it’s your exceptional knowledge & confidence that take you towards high-paying Data Science career opportunities.
  2. Don’t doubt your abilities, just let us help you get trained, acquire certifications, and take you towards much-needed Data Science career opportunities.
Data Science Career Path

Data Science Certifications - Which one Should I Go For?

After completing the Data Science training, don’t forget to get the Data Science certifications as they will help you --- get recognition during the hiring process, make you confident enough to ask for the best negotiation, land upon the right job opportunity, and establish long-term career growth.

What are Data Science Certifications?

  • Data Science certifications are the exams that test your industry-specific knowledge of Data Science methods for Data analysis.
  • The exams are checked by the highest authorities. Once you qualify for the exam with flying colors, you get a certificate declaring your competency for real-time Data Science corporate jobs.
  • With certification for Data Science, you can apply in any job of industry like software, Healthcare, banking, retail, eCommerce, and a lot more.

Why must I write these Data Science Certifications?

By having the Data Science certifications in your portfolio, you:

  • Get great preference during the interview rounds over others.
  • You feel confident to approach the right job, project, or assignment.
  • You get to ask for the desired salary package when you portray both effective knowledge & highly recognized certification in hand.

But...Data Science Certifications alone won’t guarantee you a job. They would just help to get near to the desired job at wealthy paychecks. If you have relevant knowledge skills along with a certification in hand, you can easily qualify for the ideal job.

Want to know what Data Science Certifications you can go for? Come take a quick & free Data Science Demo Class to know!

Data Science Career Paths

How to Start a Career in Data Science? Here are the 6 Steps to Get Started!

Here are the few ways on how you can build a career in Data Science!

Step - 1 Do Your Research on Data Science from a career point of view!

Perform your Exhaustive research on Data Science career to know:

  • How does this technology is the right fit in terms of an IT career?
  • What all job profiles this technology offers?
  • Is it easy enough to learn or re-skill with?
  • Is it practical is it to form a long-term career with and that too in different work industries?
  • What salary package & promotion opportunities can you expect as Data Scientists?

Gather answers to all these questions to make up your mind!

Step - 2 Get that Data Science Career Advice or Counselling!

  • Talk to some mentor or elder working in IT, to get the best Data Science career advice. Find someone who can personally help you point out the Data Science career benefits.
  • And if you don’t have someone to give you Data Science career advice, you can always have words with JanBask Training’s expert counselors for free, who will give you 24/7 assistance on how to proceed with the Data Science career path or any other technology.

Step - 3 Make a Decision, Don't Keep on Waiting!

Quickly decide because good opportunities don’t wait & last long. If you will decide now, you will experience career gains early on.

“Don’t take 6 months or a year to decide, have a quick decision to score amazing Data Science career opportunities!”

Read: A Complete Guide for Processing of Data

Step - 4 Get that Formal Data Science Training!

To enter the Data analysis world, skill-building is a must. There is no better way than joining a professional Data Science Training platform.

Formal Data Science Training will:

  • Give you real-time knowledge of Data Science job roles.
  • Help you prepare for the Data Science Certifications.
  • And become fully prepared for lucrative Data Science job opportunities.

“You are a quick Training away to start your brilliant Data Science careers”.

Step - 5 Ace that battle of Data Science Certifications!

“Don’t forget the Data Science certifications. Train for them, ace them, and give your resume & portfolio an edge.”

Data Science certifications are the best ways to validate your skills & knowledge by the highest authorities and get yourself that recognition during the hiring process. Some companies even prefer hiring skilled & certified Data Scientists with R or Python.

Step - 6 Network, Practice & Start Applying for jobs!

  • Socialize, network with real-field expert Data Scientists to expand your reach for knowledge-sharing & spotting some exclusive Data Science
  • Always practice whatever you have learned as well as new things added to the Data Science technology ecosystem via online communities, forums, or industry whitepapers.
  • Start applying for Data Science jobs, internships, projects to pursue a promising Data Scientist career.

Most Asked Questions Around Data Science Career Guide!

#1. How is Career in Data Science?

With data growing each minute, it’s getting nerve-wracking for businesses to explore, handle, and use it rightly. Every data-driven company today needs Data Scientists to help them distill & transform the voluminous data into meaningful information that can lead to successful business decisions & outcomes. We can say, Data Science is an unwavering need for businesses this year & in years to come, approaching this technology as a career is only gainful.

#2. Is Data Science easy to learn?

Learning Data Science is no rocket science. You can be a pro at this data exploration & analysis technology earlier than you think if you show little dedication for learning during the Data Science Certification Training course online. Just pick up an accredited training course where instructors are industry experts & the course material is based on real business problems, and rest you will be good to go.

#3.How to start a career in Data Science?

To start a career in Data Science, follow these 6 easy steps:

  • Research about Data Science as technology & career
  • Take expert career advice Data Science-related from someone known or our Expert Career Counselors.
  • Don’t wait up, decide whether you want to pursue this technology as a career or not.
  • Take an accredited Data Science Certification Training online.
  • Clear the popular Data Science exams to get an edge during your interview.
  • Socialize with real Data Science experts, start applying for the Data Science jobs you see around.

To always get better Data Science career options, make sure you are keeping your Data manipulation & analysis knowledge up-to-date, and have well-polished communication skills & overall personality. To know “How to Start Career in Data Science” in detail, hop onto our free demo class!

Closing Thoughts on Data Science Career Path!

Data Science is a desirable career in terms of pay, job satisfaction, learning, growth & whatever else conditions you often look for. And with this Data Analysis technology’s crazy demand (today & in years to come) in data-concentric entities, you won’t have to be worried about your Data Science career growth. With this complete Data Science Career Path or guide, we hope we helped you find answers to your endless queries regarding:

  • Why Data Science career path? “Or how is a career in Data Science good?” Or “Is Data Science a good career option?”
  • How is the Data Science career in 2020 or beyond?
  • What Data Science roles or profiles to choose & how?
  • Which Data Science careers are right for me?
  • What is the demand for Data Science roles like?
  • What is the average pay of Data Scientists?
  • Why are Data Science certifications so much in demand?
  • How to start a career in Data Science?

Don’t remain undecided about the exciting Data Science career opportunities. If we have left some of your doubts still unanswered, we would love to hear from you in the comments down below. Or if you are interested in more detailed Data Science career advice, how about scheduling your free Data Science career counseling with us? We can help with complete Training and Data Science Guide Interview Preparation as well.

fbicons FaceBook twitterTwitter lingedinLinkedIn pinterest Pinterest emailEmail


    JanBask Training

    A dynamic, highly professional, and a global online training course provider committed to propelling the next generation of technology learners with a whole new way of training experience.

  • fb-15
  • twitter-15
  • linkedin-15


Trending Courses

Cyber Security Course

Cyber Security

  • Introduction to cybersecurity
  • Cryptography and Secure Communication 
  • Cloud Computing Architectural Framework
  • Security Architectures and Models
Cyber Security Course

Upcoming Class

6 days 19 Jul 2024

QA Course


  • Introduction and Software Testing
  • Software Test Life Cycle
  • Automation Testing and API Testing
  • Selenium framework development using Testing
QA Course

Upcoming Class

-0 day 13 Jul 2024

Salesforce Course


  • Salesforce Configuration Introduction
  • Security & Automation Process
  • Sales & Service Cloud
  • Apex Programming, SOQL & SOSL
Salesforce Course

Upcoming Class

3 days 16 Jul 2024

Business Analyst Course

Business Analyst

  • BA & Stakeholders Overview
  • BPMN, Requirement Elicitation
  • BA Tools & Design Documents
  • Enterprise Analysis, Agile & Scrum
Business Analyst Course

Upcoming Class

7 days 20 Jul 2024

MS SQL Server Course

MS SQL Server

  • Introduction & Database Query
  • Programming, Indexes & System Functions
  • SSIS Package Development Procedures
  • SSRS Report Design
MS SQL Server Course

Upcoming Class

7 days 20 Jul 2024

Data Science Course

Data Science

  • Data Science Introduction
  • Hadoop and Spark Overview
  • Python & Intro to R Programming
  • Machine Learning
Data Science Course

Upcoming Class

6 days 19 Jul 2024

DevOps Course


  • Intro to DevOps
  • GIT and Maven
  • Jenkins & Ansible
  • Docker and Cloud Computing
DevOps Course

Upcoming Class

10 days 23 Jul 2024

Hadoop Course


  • Architecture, HDFS & MapReduce
  • Unix Shell & Apache Pig Installation
  • HIVE Installation & User-Defined Functions
  • SQOOP & Hbase Installation
Hadoop Course

Upcoming Class

-0 day 13 Jul 2024

Python Course


  • Features of Python
  • Python Editors and IDEs
  • Data types and Variables
  • Python File Operation
Python Course

Upcoming Class

14 days 27 Jul 2024

Artificial Intelligence Course

Artificial Intelligence

  • Components of AI
  • Categories of Machine Learning
  • Recurrent Neural Networks
  • Recurrent Neural Networks
Artificial Intelligence Course

Upcoming Class

6 days 19 Jul 2024

Machine Learning Course

Machine Learning

  • Introduction to Machine Learning & Python
  • Machine Learning: Supervised Learning
  • Machine Learning: Unsupervised Learning
Machine Learning Course

Upcoming Class

41 days 23 Aug 2024

 Tableau Course


  • Introduction to Tableau Desktop
  • Data Transformation Methods
  • Configuring tableau server
  • Integration with R & Hadoop
 Tableau Course

Upcoming Class

-0 day 13 Jul 2024

Search Posts


Receive Latest Materials and Offers on Data Science Course