1 Lakh+

job opportunities by 2025*

12 Lakh+

avg. salary of
junior data scientist

48%

avg. salary hike
of Great Learners

8000+

career transitions
over varied domains

Explore our Data Science Courses

Browse the best data science courses offered by Great Learning and choose the best program that fits your specifications.

Choose the right program for you

  • Classroom/Online
  • Classroom
  • Online
  • No Preference
  • Select Work Experience
  • <1 Year
  • 1-2 Years
  • 2-3 Years
  • 3-5 Years
  • 5-8 Years
  • 8-12 Years
  • 12-15 Years
  • >15 Years

Over 400+ Hiring Partners

Participate in Great Learning's career accelerate programs and placement drives and get hired by the top leading companies.

tech mahindra
Genpact
EXL Services
Fractal Analytics
nielsen
Cartesian Consulting
HSBC
EY
DXC Technology
mahindra
Ugam Solutions
latentview
kantar
eclerx
fedex
tredence
uber
tech mahindra
Genpact
EXL Services
Fractal Analytics
nielsen
Cartesian Consulting
HSBC
EY
DXC Technology
mahindra
Ugam Solutions
latentview
kantar
eclerx
fedex
tredence
uber

Successful Career Transitions To Inspire You

Read the most inspiring stories of our learners who encountered successful career transition into the most exciting job roles of Data Science.

Urmi Sarkar

IT Analyst

UT Austin

Data Scientist

Anirban Dey

Specialist - Program Management

UT Austin

Manager - Machine Learning

Jayavijay Sarathy

Senior Software Engineer

UT Austin

Senior Data Analyst

Prasanjit Maity

Manager

UT Austin

Data Analyst

Koyeli Majumder

Deputy Manager

UT Austin

Data Scientist

Vijay Ram Surampudi

Delivery Excellence Consultant

UT Austin

Capability Manager at AI COE, Insights & Data

Saurabh Bansal

Business & Data Analyst/Project Manager

UT Austin

Senior Data Scientist/Machine Learning Expert

Sruthi Lakshmanan

Business Analyst

UT Austin

Data Science Analyst

Vijayaragavan Namperumal

Senior Engineer- Interior Architect

UT Austin

Senior Engineer - Data Analyst and IOT

Siddharth Tripathi

Senior Software Engineer

UT Austin

Senior Analyst

Yogalakshmi S

Analytics Engineer

UT Austin

Data Science Engineer

Kumar Mishra Pramod

Business Operations Analyst

UT Austin

Advisor - Financial Analysis

Govind Rajith Cheramkalam

Senior Consultant

UT Austin

Specialist Data Science

Srijit Ghatak

Application Developement Senior analyst

UT Austin

Data Scientist

Netan

Intern - Data Science & Analytics

UT Austin

Associate - Artificial Intelligence & Analyst

Ramakrishnan N

GM Operations, Life Science Digital Operations

UT Austin

AD Projects, Artificial Intelligence & Analytics, Life Sciences

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Why Great Learning?

Great Learning offers a range of extensive Data Science courses that enable candidates for diverse work professions in Data Science and other trending domains.

Customised Learning Journey

Choose the program that fits your specifications with regards to the course duration, timings, and more. Access a customized learning journey that fetches you with utmost flexibility.

Hands on Experiential Learning

Participate in several lab sessions and work on real-time Data Science projects that foster hands-on learning.

Dedicated Program Support

Gain access to dedicated program support from highly skilled mentors who will provide personalized assistance in navigating a successful career path in Data Science.

Curriculum designed to drive business outcomes

Exhaustive curriculum designed to enable the candidates with knowledge and expertise.

Cohort Based Pedagogy

Gain access to a collaborative learning style and gain a comprehensive understanding of the Data Science tools and techniques.

Learning Analytics

Master analytical tools and gain expertise in one of the best skills of today’s market.

Our Top Faculties

The faculty team of the Data Science Courses comprises top academicians in Data Science along with many skilled industry practitioners from leading organizations that practice Data Science.

Prof. Dan Mitchell
Prof. Dan Mitchell

Phd (University of Maryland)

Clinical Assistant Professor

Prof. Dipayan Sarkar
Prof. Dipayan Sarkar

Master in Economics (Karnatka University)

Consultant, Author, Visiting Faculty

Prof. Saurabh Aggarwal
Prof. Saurabh Aggarwal

B Tech (IIT, Delhi)

Professor, HBTI Kanpur

Mr. Deepesh Singh
Mr. Deepesh Singh

Executive Programme (IIM Lucknow)

Senior Data Scientist

Mr. Kathirmani Sukumar
Mr. Kathirmani Sukumar

B.E (Rajalakshmi Engineering college)

Founder

Dr. T.K. Senthil Kumar
Dr. T.K. Senthil Kumar

Ph.D (Anna University)

Mr. Mallikarjuna Doddamane
Mr. Mallikarjuna Doddamane

B.Tech (Jawaharlal Nehru Technological University)

Mr. Mukul Kumar Singh Chauhan
Mr. Mukul Kumar Singh Chauhan

Six Sigma Certification (ISI Mumbai)

Dr. Tom Miller
Dr. Tom Miller

Faculty Director

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Our Industry Mentors

Our industry mentors of the data science course are extremely skilled data science practitioners that work across the top notch companies.

Mr. Karthikeyan Sankaran
Mr. Karthikeyan Sankaran

Director, Data Science & Machine Learning

LatentView Analytics

Mr. Saurabh Khanna
Mr. Saurabh Khanna

VP Analytics, Machine Learning

Bank Of America

Mr. Himanshu Manroa
Mr. Himanshu Manroa

AVP - Research & Analytics Solutions

Datamatics

Mr. Neelesh Singh
Mr. Neelesh Singh

Head of Model Validation & Operational Risk

ANZ

Mr. Tushar Sharma
Mr. Tushar Sharma

Founder

VokseDigital Consultancy Services LLP

Mr. Lalithakishore Narayanabhatla
Mr. Lalithakishore Narayanabhatla

Data & AI - Solution Architect

Microsoft

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Top projects done by our learners

Check out the enthusiastic projects performed by our learners. Learn the career transitioning projects performed of the aspiring data scientists and get inspired.

BFSI

Credit risk analytics using machine learning techniques.

This project helps the Credit Card company classify its customers in 2 buckets - Good or Bad. This was done by creating a Machine Learning Model using various Supervised, Unsupervised and Reinforcement Learning techniques like Neural Network, Random Forest, Decision Tree, KNN etc.
Learn more

Healthcare

Predictive model for Diabetes Treatments

A hospital is evaluating the efficiency of Insulin based treatment for diabetes patients. The Objective is to recommend whether solo insulin or conjunction of other drugs/ treatment is more effective at treating diabetes based on analyzing the patient's medical history.
Learn more

Retail

Actionable insights for improving sales of a consumer durables retailer using POS data analytics

Techniques Used

Market Basket Analysis, RFM (Recency-Frequency- Monetary) analysis, Time Series Forecasting
Learn more

Retail

Retail Sales prediction

A store has a loyalty program and wants to provide offers on products during the non-sale period on certain categories of interest. Based on the Black day sales data, recommend the top 100 products it must prioritize for loyalty rewards to customers.
Learn more

Entrepreneurship/Start Ups

Start-up insights through data analysis

Techniques Used

Univariate and Bivariate Analysis, Multinomial Logistic Regression, Random Forest
Learn more

Realty

Realty Predictive modeling on House Value

A house value is simply more than location and square footage. Like the features that make up a person, an educated party would want to know all aspects that give a house its value. For example, you want to sell a house and you don't know the price which you can take - it can't be too low or too high. To find the house price you usually try to find similar properties in your neighbourhood and based on gathered data you will try to assess your house price.
Learn more

Automobile

Route optimization and vehicle utilization

This project's objective is to develop a predictive model that will help reach 100% capacity utilization of the cabs and route optimization of cabs by optimal allocation to visit the pickup and drop-off locations of the employees and thereby reducing the cost of operations.
Learn more

BFSI

Prediction of Loan interest rates

To develop the credit scorecard using a regression model, where the past data of the existing loans & default cases can be used to enable the investor to predict the probability of default for a potential loan to be given to the new loan applications from the borrowers and based on the risk categorization / risk bucketing suggest suitable interest rates to be charged to hedge the risk involved.
Learn more

Healthcare

Prediction of user's mood using the smartphone data

Techniques Used

Logistic Regression, Random Tree, ADA Boost, Random Forest, KSVM
Learn more

BFSI

Deep dive into exploratory analysis and predictive modeling in financial domain

The objective is to analyse P2P Lending loan transaction data from one of major US market players for over a decade and build a model for identification and recommendation of borrowers/loan for an investor. Overall, you will have the effort in these themes 1. Predict the interest rate of potential lenders 2. Predict the probability of default for a potential loan.
Learn more

E-commerce/Internet Business

Customer engagement and brand perception of Indian ecommerce - A social media approach

Techniques Used

Word Cloud & Correlation, Topic modelling using LDA with Gibbs Sampling and using Hierarchical
Agglomerative Cluster Dendogram, Sentiment Analysis, & Clustering
Learn more

Education

Predictive modeling of employability outcomes

Under the project study, you will try to utilize the dataset containing information about a set of engineering graduates and their employment outcomes to analyse the following few use cases – 1. Given a new student profile, predict his/her annual salary from historic data. 2. Predict what factors in the labor market determine one’s salary. Is it just one’s skills or are there other factors that influence the return in the labor market.
Learn more

BFSI

Understanding trends in bitcoin using social data and economic factors

This projects objective is to forecast the price of the Bitcoin using external events, economic factors and social data. Also, find out the effect of Influencer community on the price.
Learn more

Sports

IPL Prediction

There has been year on year analysis on money spent by franchises on the teams and their performance over IPL. The objective of this capstone project is to determine the relationship between money involved in a match (i.e. money spent to buy the playing 11 players) and chances of winning.
Learn more

Automobile

Car review blogs and tweets analysis

This project analyzes factors impacting car buying decisions using online and offline consumer data. This will enable car dealers to effectively close new leads and help marketers plan their campaigns effectively.
Learn more

E-commerce/Internet Business

Marketing analytics, predictive modelling on website visitor conversion rates

People often spend a lot of time browsing through online shopping websites, but the conversion rate into purchases is low. Determine the likelihood of purchase based on the given features in the dataset. The dataset consists of feature vectors belonging to 12,330 online sessions. The purpose of this project is to identify user behaviour patterns to effectively understand features that influence the sales.
Learn more
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User Testimonials of our Data Science Programs

Get inspired by listening to the learner’s testimonials of the Data Science courses offered by Great Learning

I joined this course at a point where I was transitioning out from a corporate career to an entrepreneurship life. I obtained the analytics foundation from this course which is basically the foundation of my company. The two aspects of the course which really helped me are the breadth of the course and the networking opportunities.

Tushar Sharma

Founder

company logo

Program : PG Program in Data Science and Business Analytics

Thanks to the DSE program at Great Lakes, I got 2 job offers, one from DXC Technology and another from Razorthink. This program is an ideal mix of both theory and hands-on practice. Taking this course to upskill myself was one of the best decisions I’ve made.

Suraj Suresh

Data Scientist

company logo

Program : PG Program in Data Science and Engineering

I was having a casual conversation with my friends over a coffee when he told me about this course from GreatLearning which was offered by Great Lakes Institute of Management. The 3 most important reasons why I took this program are the passion for numbers, no location constraint, and no impact on my work schedule.

Aswath

Credit Analyst

company logo

Program : PG Program in Data Science and Business Analytics

Capstone projects gave a lot of insights about the real life industry problems and issues. Career counseling sessions helped me ace multiple interview rounds. The program is ideal for any Fresher who wants to learn data science and make a rewarding career out of it.

Isha Nair

Data Analyst

company logo

Program : PG Program in Data Science and Engineering

The most beautiful aspect of this program is that you are able to apply the learnings to the real-life business analytics problems as well. There are various points that contribute to this, such as the quality content that is designed by the world-class faculties. The turnaround time for your queries is really low similar to a regular classroom program.

Dhruv Kartikey

Test Analyst

company logo

Program : PG Program in Data Science and Business Analytics

2-Year career gap didn’t stop me from bagging a position as a consultant at Fractal Analytics. Thank you Great Learning.

Mahendra Shaji

Analytics Consultant

company logo

Program : PG Program in Data Science and Engineering

My experience with GreatLearning has been extremely good. It is the most rigorous course available in the country and I would say the best part is, we got a lot of exposure with people coming from the industry and sharing their experiences. Overall the content was quite comprehensive and there was a lot of learning on how things work.

Supreet Singh Nand

company logo

Program : PG Program in Data Science and Business Analytics

The program is very well structured and an ideal combination of theory and hands-on practice. I got 2 job offers even before completing the course.

Naga Pavan

Consultant Analyst

company logo

Program : PG Program in Data Science and Engineering

The mentorship sessions with industry experts helped me become industry ready. I am now working on libraries I never knew of earlier. The journey from an economics background to being a data analyst has been really amazing.

Nayantara

Data Analyst

company logo

Program : PG Program in Data Science and Engineering

The thing I liked most about the program was the quality of education. The faculty have lots of experience in their fields and they cleared all our doubts. I got opportunities in 2 companies, one in HSBC and the other in Genpact.

Utkarsh Sharma

Risk Analyst

company logo

Program : PG Program in Data Science and Engineering

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Learner Reviews for our Data Science Programs

22 Apr 2021
Batch of April 2021 | India
great work bt sambhavi .....the way she clears doubts next level.. dont know whether i should mention it here ....ganesh is also very responsive ...cleared all my doubts with patience

Program : PG Program in Data Science and Engineering

See all Reviews of this program
22 Apr 2021
Batch of July 2020 | System Analyst at Cognizant Full Time | India
The way of teaching is just awesome. We need this kind of faculty in upcoming sessions. And most important that the Inclass session is just fantastic, we clear our droughts and everything regarding codes and concepts. He (Sir) literally tech line by line, it was a fantastic way of teaching, for the past sessions we never experience this kind of teaching. Overall nice experience with him.

Program : M.Tech in Data Science and Machine Learning

See all Reviews of this program
22 Apr 2021
Batch of April 2021 | Senior Technical Recruiter at Diligente Technologies | India
Well explained regarding Pseudocode and basic of Programming

Program : PG Program in Data Science and Engineering

See all Reviews of this program
11 Apr 2021
Batch of June 2020 | India
Over all good session , Kudos to Great Learning for delivering such an amazing program.

Program : PG Program in Data Science and Business Analytics

See all Reviews of this program
17 Feb 2020
Batch of February 2020 | Operations Manager Service Delivery Storage at Hewlett Packard Enterprise | India
Good to hear from Leader like Ayush, would be good to have him later as part of career guidance for chaps mainly new to this field or less experience

Program : PG Program in Data Science and Business Analytics

See all Reviews of this program
22 Apr 2021
Batch of January 2021 | India
Today's session was really good. Inclass solving , it really helped me alot many doubts were solved by solving in-class during the session.

Program : PG Program in Data Science and Engineering

See all Reviews of this program
22 Apr 2021
Batch of October 2020 | India
Excellent explained the linear regression concepts mathematically.....Just Loved the class

Program : M.Tech in Data Science and Machine Learning

See all Reviews of this program
22 Apr 2021
Batch of January 2021 | Product Manager at Spotflock Full Time | India
Good Interactive Session Made me recollect my PGDM concepts

Program : PG Program in Data Science and Engineering

See all Reviews of this program
19 Apr 2021
Batch of February 2020 | India
She is brilliant in teaching us with a lot patience and looks like she has been briefed the batch expectations and diversity of the same. Understanding the concepts was easier.

Program : PG Program in Data Science and Business Analytics

See all Reviews of this program
21 Feb 2020
Batch of February 2020 | Assistant Manager at Tata Communications Transformation Services (Tcts) | India
Delivered all the information about the program and shared how to prepare for the upcoming assessments.

Program : PG Program in Data Science and Business Analytics

See all Reviews of this program
What will you learn in a Data Science Course?

In a Data Science course, you will learn several languages and tools, such as Python or R programming language, SQL queries, Machine Learning, Artificial Intelligence, Statistical Methods, Data Analytics, Data Visualization, and much more.
You will learn how to apply data in problem-solving and deriving meaningful insights, which helps to solve several organizational problems and achieve their goals. 
 

 

Is doing Data Science worth it?

 

Yes, it is entirely worth it to learn Data Science and choose it as your career. Check out the following factors:

  • High Demand

Data Science has seen significant growth in various industries. The demand for Data Science jobs is expected to rise steadily in the coming years. According to the U.S. Bureau of Labor Statistics, 11.5 million Data Science jobs might be created by 2026. 

  • Lack of Data Scientists

As Data Science is high in demand, there is a lack of data scientists. Several companies are vastly searching for data scientists and analysts.

  • Sky-high Pay Scale

According to Glassdoor, a data scientist’s average pay scale is Rs. 10 lakh per annum in India.

  • Adds Value to Business

Data Science has seen significant growth in various industries, such as IT services, healthcare and e-commerce industries, banking sectors, consultancy services, etc.

 

 

Is coding required to do Data Science?


Sometimes, it is not necessary to have advanced coding skills to learn data science. Instead, learners must be familiar with Data Analytics, Data Visualization, and Data Management. 

But, having a fundamental knowledge of coding boosts your learning pace. Some programming languages include C/C++, Java, Python, R, SQL, etc. Learning any of these programming languages would serve you in grouping the unstructured datasets.

 

Who can do data science courses?

Anyone can take up our courses, who are fresh graduates, final year graduate students, working professionals, data analysts, business leaders, marketing professionals, etc.

What are the Roles and Responsibilities of a Data Scientist?

Data Scientists do play a key role in building the organization. Many believe that the responsibilities of data scientists are limited to performing job roles like data visualization, data processing, data munging, data mining, etc, while these responsibilities are present, this does not present the complete picture.

 

Let us clearly understand what data scientists do on a daily basis.

 

1. One of the major roles of a data scientist is understanding business requirements and solving business problems by accessing the given set of data.

 

2. Data collection is considered as another major responsibility of a data scientist. This is the process of sorting out the historical data that is required to perform the desired operations.

 

3. The next phase is the cleaning of data. This is another important responsibility of data scientists which requires the evaluation of the collected data and eliminating unwanted data. This task reduces the complexity of the data to deal with and makes it easy to derive the right solution.

 

4. After cleaning the data, data scientists need to perform various operations such as data exploration and data analysis. This is considered as an integral procedure performed by a data scientist. Data exploration is more like a brainstorming session to data analysis as this involves the employment of several techniques to the given set of data in order to derive meaningful insights. Understanding the patterns of data helps you derive the most reliable results to solve specific business problems.

 

5. Data modeling is the next crucial phase to be carried out where a data scientist performs the application of several machine learning algorithms to the given data after deriving the essential insights and identifying the patterns of the data. The data modeling phase gives the most accurate predictions and the best solutions to define any given problem.

 

6. The next phase is Data validation. In this phase, the selected model is tested to discover if there exists any errors or mismatch or inconsistencies. This phase is important as this helps to identify errors, false predictions, and undesirable insights retrieved in the above stages.

 

7. After performing all the above mentioned operations, the data scientist now possesses an understanding of the efficiency of the chosen model and he gets ready to deploy the results acquired.

 

8. After the deployment, the data scientists receive feedback and make necessary corrections considering the comments received.

What should you know to do a data science course?

Considering this soaring demand in data science and data analytics, if you want to learn data science online, some data science prerequisites are as follows:
Mathematical Skills: One must be good at mathematical concepts, such as linear algebra, matrices, calculus, gradients, etc. is considered as one of the major prerequisites for taking up data analytics courses.
Programming Skills: Having a concise knowledge of programming, such as Python, C, C++, SQL, Java, etc., would help you gain complete knowledge and understanding throughout the data science online course. 
Data Processing: As data science is all about dealing with data, an individual must be familiar with data mining, data modelling, data processing, etc., which makes it easy for you to pursue data science online training. 
Statistical Analysis: Being good with statistical analysis would be a great asset to learn data science. Data Science aims to extract valuable insights from a vast collection of data. Experience working with analytical tools such as Hadoop, R, SAS, and many more, will serve you in efficiently performing the statistical analytics of the given data.
 
Data Visualization Skills:
Knowing the data visualization tools such as Matplottlib, Tableau, and many more would benefit you comprehend the complex outcomes and let the audience understand the metrics.
 

What qualification is required for data science?

Let’s check out the data scientist eligibility criteria below:

  1. Any IT professionals, engineers, and marketing professionals can opt for data science programs.
  2. Students who are pursuing an undergraduate degree or holding it in a computer science related field can begin their career in data science in India or anywhere across the world.
  3. Also, students pursuing or holding management degrees like BBA or MBA can apply for data science and analytics courses.
     
What is the scope of data science in India?

There is a broad scope of data science in India. It is associated with many business sectors like IT services, healthcare and e-commerce industries, banking and finance sectors, consultancy services, transport sectors, manufacturing units, etc.
The Data Science domain claims to offer one of the highest-paid job roles in India. According to PayScale, the average pay scale of a data scientist in India is estimated as Rs. 8.2 lakh per annum. The salary scale ranges from Rs. 3.5 lakh to 20 lakh per annum. 
In India, there are around one lakh+ current job opportunities for various job roles in Data Science. 
Great Learning offers the best data science courses in India with placements.
 
 

Does Data Science need Statistics?

 Yes, Statistical skills are mandatory for learning data science. Being good with statistical analysis would be an excellent asset for pursuing data science and analytics courses. 

Data Science aims to extract valuable insights from a massive data collection. Experience working with analytical tools such as Hadoop, R, SAS, and many more will serve you in efficiently performing the statistical analytics of the given data.

 

Is this Data Science course is for freshers or experienced professionals?

Great Learning offers you the best online data science courses for freshers as well as experienced working professionals.

 

What is the Data Science course duration?

The time duration for data science and data analytics courses range from 5 months to 2 years, depending on the program you opt for.

 

What is the Data Science course fees?

The data science course fees in India range from Rs. 2 lakh to 6 lakh, which depends on the course you choose.

 

How do I get certified in Data Science?

 After you successfully pass all the assignments, exams, or projects, your course will be completed. Then, you will receive a data science professional certificate from respective institutes or universities. 
 
 

Frequently Asked Questions

Why Data Science?
What is the future of Data Science?

Data is the future. Data science is expected to have an impactful future in the days to come, so Data scientists are expected to have a rewarding career journey too. Data Science has been creating a significant impact on various fields it has been applied to.Data science is believed to extend it's enclave to many other fields and establish new dynamics besides replacing many existing jobs. In India, there are around 15, 000+ existing job opportunities for various job roles in the domain of Data Science.

Is doing Data Science worth it?

There are many reasons that make data science stand as one of the best career choices you could make in the 21st century. The demand and scope of this technology are the top reasons which inspire many to pursue a career in this platform. Besides, the pay scale offered in this sector is creating enough interest in youngsters to become a Data Scientist. The job roles offered in this domain are recognised as one of the highest paid job roles in the country. As data science is constantly enlarging its impact on several fields, it is also expected to replace many existing job roles. Hence, for anyone desiring a secure career, data science is the best choice they could make.

What is the scope of data science in India?

The domain of Data Science in India has influenced many industries and platforms. The benefits that this technology offers is drawing interest in many organisations to embrace this field. Hence, Data Science is considered one of the fastest booming technologies in India which is driving many to seek a career. This domain also offers rewarding pay scales and the job roles of this technology are considered as one of the highest paid job roles in India.

Which is better to study, data science, or big data?

There has always been great confusion between Big data and Data Science. 

Big data refers to large amounts of data from various sources from different formats. Big data revolves around the data that cannot be handled by the traditional data analysis method. 

Data Science is a combination of different skills such as mathematics, statistics, and programming. Data Science is applied to problem-solving. 

Data Science is the most in-demand and technologies. Considering the existing demand for this technology, it is better to choose data science than big data to encounter a career transition into one of the most exciting job roles.

 

What are the top data science applications?

Data Science is rapidly being used in various sectors like E commerce, Telecommunications, Healthcare, Marketing, Gaming, Government sector, Human resources, Logistics, Biotechnology, Finance and Banking and more. The application of Data Science is creating outstanding impacts in every field it has been applied to. The list of the industries adopting Data Science technology is believed to grow in the near future.

What are the various job roles of Data Science?

The job roles offered in this domain are fascinating. Many youngsters are aspiring to encounter a career transition into these roles. Let us look into a few of the major job positions of the Data Science domain.

  • Data Analyst
  • Data Architect
  • Statistician
  • Business Analyst
  • Database Administrator
  • Data Engineer
  • Data Scientist
What are the roles and responsibilities of a Data Scientist?

If you are one among the many that are aspiring to become a data scientist, You must be aware of the various roles and responsibilities of a Data Scientist. What are the major roles and responsibilities involved in the job role of data scientists? What do the data scientists do on a daily basis? Data Scientists do play a key role in building the organization. Many believe that the responsibilities of data scientists are limited to performing job roles like data visualization, data processing, data munging, data mining, etc, while these responsibilities are present, this does not present the complete picture.

What are the differences between Data Science and Business Analytics

Below are a few differences between Data Science and Business Analytics

  • Data Science is the integral application of several machine learning techniques and concepts to extract meaningful insights from raw data while Business analytics deals with the collection of data and interprets the collected data towards meeting the business goals.
  • Data Science focuses on problem solving whereas Business Analytics focuses on decision making.
  • Data Scientists aims to find the reason for driving those trends and Business Analysts aims to find the trends of the data
  • Data Science employs a lot of coding practices while Data Analytics does not require programming skills.
  • Data Science applies algorithms, statistics to derive insights from data
  • Business analytics employs the statistical analysis of structured data.
  • The ultimate agenda of Data Science is to pose questions and understand the analyse the collected data where as Business Analytics provides reliable solutions to the specific business problems
What is the difference between Data Science and Data Analytics?

Data Science and Data Analytics are the two terms that are unique but are often used interchangeably. Below are the differences between Data Science and Data Analytics.

  • Data Science is the integral application of several machine learning techniques and concepts to extract meaningful insights from raw data and Data Analytics refers to the analysis and identification of the patterns of the information gathered to derive the best conclusions that aids in meeting business goals.
  • Data science finds patterns in the existing data while Data Analytics is used to sort data to meet the organisational needs.
  • Data Science has a macro level scope. But, the scope of Data Analytics is micro.
  • The ultimate agenda of Data Science is to pose questions whereas Data Analytics aims to find the right and actionable data.
  • Data Science focuses on problem solving while Data Analytics focuses on decision making
  • Data Science predicts the future whereas Data Analytics day to day analysis on the data.
How To Learn Data Science?
Who should learn data science?

To master this exciting technology, all you need to have is a passion for pursuing it. Considering the demand of this technology, many youngsters and many existing working professionals are seeking a career in this technology. As many institutes are offering several courses in this domain, you could register yourself for the program that fits your specifications. You must be enthusiastic about learning the tools and techniques of Data Science. Being good at subjects like Mathematics, Statistics, Programming languages, Data Visualisation tools would be add ons to gain expertise in this domain.

What are the prerequisites to start a career in Data Science?
Math Skills

Mathematics plays a major role in learning the techniques of Data Science. Holding good mathematical expertise would make your learning journey easy.

Statistics

Possessing statistical knowledge is another prerequisite of learning Data Science. Having a good knowledge base on Inferential statistics and descriptive statistics would be an add on.

Programming skills

Being good at programming languages such as R, Python, SQL and many more is essential to master Data Science.

Data Visualisation skills

Having a hands on experience with data visualisation tools like Tableau, Google Charts, Grafana, FusionCharts, Datawrapper will aid you in gaining expertise in Data Science technology.

How can I start learning data science and become a master in it?

Once you get familiar with the concepts and the application of the various tools and techniques of Data Science, you will be able to gain expertise. Constant learning and practice is the only way to master Data Science and become a successful data science professional.

How do I learn data science online?

There are many institutes offering Online Data Science Courses. If you are passionate about pursuing a Data Science Course Online, you could go ahead and register yourself for the best Data Science Course Online. These courses are designed for working professionals to master this technology without giving up their current profession. The classes of the online Data Science program will be held during the weekends and the candidates will be provided access to an online learning management system that houses all the requisite material for the candidates to learn. The curriculum of these programs will be designed in such a way that it causes minimal disruptions to your personal and professional lives.

Does data science need statistics?

Yes, Statistics is an integral aspect of data science and possessing a strong understanding of the various statistical concepts is considered as one of the major prerequisites of mastering the Data Science Course. Statistics play a major role in understanding the concepts of Machine Learning. Statistics makes it easy for you to understand the application of Data Science concepts in problem solving.

What are the best learning paths for data science?

Amongst all the universities, colleges, institutes that aid you in becoming a Data Scientist, one of the best learning paths to choose for mastering the technology of Data Science is to choose an established and trustworthy institute. Before you finalise the learning institute, learn about the attributes of the institute such as the faculty team, the alumni success stories, credibility, curriculum, lab sessions, mentorship, placement assistance and many more. If you are a working professional, it is better to take up an online course where you will not need to give up on your job as the online learning facilitates you to learn while you earn.

How can I become a Data Scientist?

The desire and passion of pursuing a career as a data scientist is all you need to become a Data Scientist. Learning about Data Science and it’s prerequisites is the first step to start your learning journey. Enrolling yourself for the best Data Science program offered by a trustworthy institute would be the best way to make your dream come true. Constant learning and practice would get you the job of your dreams.

Great Learning’s Data Science Courses
What are some of the best data science courses?

Even as there exists a multitude of institutes claiming to offer the best Data Science Courses, it is essential to ensure that you end up taking up the truly best course that is better than the rest. Great Learning has designed a set of inspiring courses in this domain that are different from one another. However, you could choose the best one that fits your specifications and eligibility. Below is the list of the courses offered in the domain of Data Science by Great Learning.

Why choose the PGP- Data Science and Business Analytics?

The PGP DSBA is recognised as India's top program in Data Science and Business analytics. This program was formerly known as PGP - Business Analytics & Business Intelligence (BABI). The PG program in Data Science and Business Analytics stands as the perfect choice if you are seeking a Data Science course for Beginners that are desiring a career transition into the job roles of Data Science. This program is delivered in classroom as well as online modes while the course fee of the classroom mode is Rs. 3,95,000 + GST and for online mode the fee is Rs. 2,25,000 + GST. The duration of the classroom mode is 12 months while the online mode is for 11 months. The program is open for all the candidates possessing a bachelor's degree with a minimum of 50% aggregate.

Why choose the PGP - Data Science and Engineering

The Post Graduation program in Data Science and Engineering Course is a 7-month classroom program designed for fresh graduates and early career professionals seeking to build their careers in data science and analytics. This program follows an exhaustive curriculum and enables the candidates to be job ready by learning relevant data science techniques, tools, and technologies, and hands-on application through industry case studies. This program is open for fresh graduates and working professionals with 0-3 years of experience seeking a career transition.
To take up this course, you will need to hold an aggregate of 60% or above in Xth, XIIth and Bachelor's degree. The course fee structure is Rs. 3,50,000 + GST

Why choose the PG Program in Data Science and Analytics?

The Post Graduation program in Data Science and Analytics is a 7 month program designed exclusively for working professionals with across Pune and Hyderabad. .This course definitely the right option if you are desiring to pursue a short term data science course. This program uses a combination of learning methods that include classroom teaching, self-learning through videos and reading materials, team-based problem solving, and sessions with industry experts. Classes are conducted on weekends and assisted by online webinars, discussions, and assignments. The Capstone project enables the candidates to apply their learning to real industry projects. This is an ideal choice for people seeking a Data Science Course for experienced candidates possessing a minimum of 2 years of full-time post-qualification work experience. The course fee is Rs.2,75,000 + GST.

Why choose the M.Tech in Data Science and Machine Learning (Weekends and Weekends)?

The M.Tech in Data Science and Machine Learning is offered by Great Learning in collaboration with one of the most prestigious universities - PES. PES is ranked as the #1 university of Karnataka. This is a 21 month masters program designed for the fresh graduates, aspiring to pursue their masters in the domain of Data Science. The classes take place during the weekends at the PES campus, electronic city..This program is also offered during weekdays. The classes take place during the weekdays.(Monday - Thursday) at the PES campus, electronic city. The course fee of the classroom mode is Rs. 6,00,000 + GST and for the weekend classroom mode you will be charged Rs.5,00,000 + GST.Candidates holding a bachelor's degree in B.Tech, B.E or an M.C.A degree, besides possessing a minimum of 60% in X, XII and Bachelor's degree are eligible to apply for this program.

Why choose the Business Analytics Certificate Program?

The Business Analytics certificate program is a 6 month online Data Science course offered by Great Learning for fresh graduates and final year students aiming for a career in the domain of Data Science. This program covers industry relevant concepts in statistics and analytics in depth and also provides hands on exposure on tools like R and Advanced Excel. Candidates will be provided the requisite learning material and will be constantly engaged in mentorship sessions. Candidates will also engage in interactive live sessions with industry experts and mentors who provide current industry knowledge and insights. To take up this course, you will need to hold an aggregate of 50% or above in Bachelor's degree. Final year students can also apply to the program.The course fee structure is Rs. 80,000 + GST

Why choose the Masters program in Data Science and Machine Learning?

This is again a great program offered by Great learning in collaboration with one of the reputed universities of Karnataka. The Masters program in Data Science and Machine Learning is a 21 month program designed for working professionals in Bangalore. Reva is ranked as the country's best private university. The classroom sessions take place during the weekends at the Reva University campus. The comprehensive curriculum of this program enables the candidates with all industry relevant skills and knowledge. Candidates will gain a comprehensive understanding of Data Science, Data Visualisation, Machine Learning, Deep Learning, Big Data, and more. Candidates will gain Hands-on experience through in-class lab sessions on Python, SQL, Tableau, and other Data Science tools & techniques. To take up this course, you will need to hold an aggregate of 60% or above in Xth, XIIth and Bachelor's degree. The course fee structure is Rs. 4,50,000 + GST

Why choose the M.Tech in Data Science and Machine Learning - Ansal University?

This is an M.Tech program designed exclusively for candidates across Gurgaon and Delhi. This is designed in collaboration with the most reputed Ansal University. This is a weekend classroom program and spans 21-Months that includes a capstone project and an M.Tech Thesis. The classes for this program will be held at Ansal University's Campus, and Great Learning online platform. Candidates possessing B.Tech, B.E or an M.C.A degree and a minimum of 60% in X, XII and Bachelor's degree are eligible to apply for this program. The course fee structure is Rs. 5,00,000 + GST.

Why Great Learning?
Why should I choose Great Learning to learn Data Science?

Great Learning has established its standard in the market and is praised for the outstanding quality of education it delivers. The online data science degree certificates of Great Learning have gained amazing interests for the credibility Great Learning has built over the years. The Data Science and Business Analytics Program offered by Great Learning in collaboration with McCombs School of Business at The University of Texas at Austin and Great Lakes Executive Learning has been ranked as the number 1 program in the country by AIM for 5 years in a row.

Who would be teaching these courses?

Learn Data Science from the best! The faculty of Great Learning are recognized as the top among many other learning institutions of the country. Each of the faculty members are alumni of the top institutes of the world such as Stanford University, IIT, IIM and many more, possessing great knowledge and experience in the domain of Data Science. Indeed, Great Learning's faculty has been recognised as one among the best of analytics and data science academicians. Dr. Abinandan Sarkar, the Academic Director at Great Learning for Data Science and Machine Learning Programs is recognised as one of the leading analytics and data science academicians in India for the year 2019 by Analytics magazine, India.

What is unique about the curriculum?

The exciting courses offered by Great Learning in this domain employs all the tools and techniques of data science. All the concepts of the course will be taught with real-world case studies that enable the candidates to gain hands on working experience in employing these tools such as R, Python, Tableau, Machine Learning, and many more. Besides being taught by the faculty, several industry experts of Data Science which help the candidates to gain various insights considering the industry perspective of Data Science. The corporate partners of this program include real world practitioners of Data Science, strongly involved in curriculum design, facilitating projects, industry lectures, and professional evaluation.

Do these programs offer flexibility to the students?

Learn while you earn!!
The online data science programs offer easy and flexible schedules coordinated with personalized mentorship that offers minimal disruptions to your personal and work lives. Classes will be conducted during the weekends making it simple and easy for the working professionals to learn data science without giving up on their existing careers.

Do these courses employ hands on learning?

Great Learning enables it’s candidates to gain comprehensive hands on exposure to the tools of Data Science and makes them job ready. The Capstone project of the Data Science courses by Great Learning are considered as the cornerstone of the overall learning of a candidate. The Capstone project is designed to exercise all the tools and techniques learnt in the classroom rigorously and gain expertise. Besides the Capstone project, candidates will also participate in multiple lab sessions. During the lab sessions, candidates will work on various real life scenarios and learn to employ Data Science tools and concepts. All the lab sessions and the capstone project will be organised under the constant guidance of the faculty members and industry experts.

How does mentorship at Great Learning works?

Great Learning has an amazing group of mentors. Each candidate will be assisted with a personal mentor who guides them throughout his learning journey. The mentors possess immense knowledge on the various concepts covered in the Data Science courses. All the doubts of the candidates will be clarified by the mentors. The mentors would also assist the candidates in preparing them for the interviews.

Does Great Learning offer Placement Assistance?

Great Learning has built an outstanding corporate network with many top notch companies across the country. These companies take part in frequently conducted recruitment drives organised by Great Learning. The list of these companies includes The MathCompany, Uber, KPMG, Bigbasket, Cognizant, Swiggy, Tata Capital, United Health Group, American Express, Mercedes Benz and many more. Great Learning has aided 7000+ candidates to encounter a successful transition into several job roles in the domain of Data Science.

Does Great Learning assist to select the best suitable data science course?

Great Learning is recognised as one of the country's best platforms to pursue a training program in the domain of Data Science. Great Learning has designed a set of eight programs in Data Science which facilitates you to choose the one that fits your specifications. The curriculum of these programs are designed by well knowledged Data Science professionals. Each of these programs differs from one another with respect to the eligibility criteria, fee structure, course duration, and many more aspects. From fresh graduates to highly experienced working professionals, many are aspiring to pursue a career in this domain, hence each of these programs by Great Learning are designed for each specific set of people. To choose the best amongst these five courses, you could contact Great Learning as they assist you in establishing your career in the right path.

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