Data Science Courses from Johns Hopkins, MIT, IIT, UT Austin

Data Science Courses

Enroll in Great Learning's online data science courses and professional certificates to analyze data and make data-driven decisions. Master Python, explore machine learning techniques, and predict outcomes. Learn essential concepts such as data visualization, statistical analysis, and predictive modeling.

Generative AI & Hands-On Projects: Master Generative AI and apply your knowledge through practical projects.
Expert Mentorship: Learn from industry leaders and esteemed university faculty through recorded and live sessions.
Career Growth & Competitive Salaries: Explore diverse career paths, enhance your current role, and achieve competitive salaries.

Explore Programs

Get a FREE 1:1 career counselling

Schedule a session for free with our experts

Download Brochure

Check out the program and fee details in our brochure

Learn from

The world’s best universities

Great Learning partners with the world's most respected universities so that you can get top-notch education.

Empowering millions through professional learning

find your program

Learn data science from leading global universities

Online Certificate
Featured
McCombs School of Business at The University of Texas at Austin

Post Graduate Program in Data Science with Generative AI

12 months · Online

McCombs School of Business at The University of Texas at Austin

Post Graduate Program in Data Science with Generative AI

12 months · Online

Mentored online data analytics program for mid career professionals. India's #1 for 5 years in a row

Dedicated career support

Industry-related curriculum

Expert faculty

Hands on learning

View Program

Download brochure
Other recommended courses
- Great Lakes Executive Learning
  
  PGP in Data Science (with Specialization in Gen AI)
  
  5 months · Classroom
  
  Dedicated Placement Assistance
  
  Download brochure
- IIT Bombay
  
  Certificate in Supply Chain Analytics with AI and ML Applications
  
  6 Months · Online
  
  Download brochure
- IIT Bombay
  
  e-Postgraduate Diploma (ePGD) in Artificial Intelligence and Data Science
  
  18 months · Online
  
  IIT Bombay Faculty
  
  Download brochure
- MIT IDSS
  
  AI and Data Science: Leveraging Responsible AI, Data and Statistics for Practical Impact
  
  12 weeks · Online
  
  Learn from MIT Faculty
  
  Download brochure
- Great Lakes Executive Learning
  
  PGP in Data Science (with Specialization in Gen AI)
  
  9 months · Online
  
  Dedicated Placement Assistance
  
  Download brochure
- McCombs School of Business at The University of Texas at Austin
  
  Data Analytics Essentials
  
  16 weeks · Online
  
  No Programming Experience
  
  Download brochure
University Programs
Other recommended courses
- MIT IDSS
  
  AI and Data Science: Leveraging Responsible AI, Data and Statistics for Practical Impact
  
  12 weeks · Online
  
  Download brochure
- McCombs School of Business at The University of Texas at Austin
  
  Post Graduate Program in Data Science with Generative AI: Applications to Business
  
  7 months · Online · Weekend
  
  Download brochure
- McCombs School of Business at The University of Texas at Austin
  
  Data Analytics Essentials
  
  16 weeks · Online
  
  No Programming Experience
  
  Download brochure
Placement focussed
Featured
Great Lakes Executive Learning

PGP in Data Science (with Specialization in Gen AI)

5 months · Classroom

Great Lakes Executive Learning

PGP in Data Science (with Specialization in Gen AI)

5 months · Classroom

Data Science program for young professionals with placement assistance

Dedicated career support

Industry-related curriculum

Expert faculty

Hands on learning

View Program

Download brochure
Other recommended courses
- McCombs School of Business at The University of Texas at Austin
  
  Post Graduate Program in Data Science with Generative AI
  
  12 months · Online
  
  Dedicated Career Support
  
  Download brochure
- IIT Bombay
  
  e-Postgraduate Diploma (ePGD) in Artificial Intelligence and Data Science
  
  18 months · Online
  
  IIT Bombay Faculty
  
  Download brochure
- Great Lakes Executive Learning
  
  PGP in Data Science (with Specialization in Gen AI)
  
  9 months · Online
  
  Dedicated Placement Assistance
  
  Download brochure
- Great Lakes Executive Learning
  
  Post-Graduate Program in Data science & Analytics
  
  7 months · Online
  
  300+ Successful Batches
  
  Download brochure
Degrees/Diplomas
Featured
IIT Bombay

e-Postgraduate Diploma (ePGD) in Artificial Intelligence and Data Science

18 months · Online

IIT Bombay

e-Postgraduate Diploma (ePGD) in Artificial Intelligence and Data Science

18 months · Online

The Executive Post-Graduate Diploma in Artificial Intelligence and Data Science from IIT Bombay equips learners with cutting-edge AI and Data Science skills. Developed and delivered by distinguished faculty at IIT Bombay.

Dedicated career support

Industry-related curriculum

Expert faculty

Hands on learning

View Program

Download brochure
Other recommended courses
- PES University
  
  M.Tech in Data Science and Artificial Intelligence
  
  2.5 years · Classroom
  
  Download brochure
Microsoft Certification
Other recommended courses
- Microsoft
  
  PL-300 - Microsoft Power BI Data Analyst Certification Training
  
  6 Weeks · Online
  
  Download brochure
- Microsoft
  
  Data Analytics and Power BI Bootcamp
  
  12 weeks · Online
  
  with PL-300 Prep
  
  Download brochure
Global Degrees
Featured
Deakin University

Master of Data Science (Global) Program

12+12 months · Online

Deakin University

Master of Data Science (Global) Program

12+12 months · Online

The 24-month Master of Data Science (Global) program from Deakin University is designed with a modular structure by unbundling the curriculum into foundational and advanced competence tracks which enable learners to master advanced data science skill set effectively.The learners can choose between

Dedicated career support

Industry-related curriculum

Expert faculty

Hands on learning

View Program

Download brochure
Other recommended courses
- Northwestern University
  
  MS in Data Science Programme
  
  18 months · Online
  
  Live Sessions
  
  Download brochure
- Deakin University
  
  Master of Data Science (Global) by Deakin University
  
  12 months · Online
  
  Download brochure
Masters
Other recommended courses
- Northwestern University
  
  MS in Data Science Programme
  
  18 months · Online
  
  Live Sessions
  
  Download brochure

Upskill with the best data science programs

Great Learning Programs

Other Courses
Certificate

Certificate from prestigious universities like IIT Bombay, UT Austin, MIT & Great Lakes

Only one certificate from tier 2 colleges
Curriculum

GenAI focused curriculum

Limited coverage
Live mentored learning

Live learning from top industry experts

Limited to no live classes
Career support

Yes, with mock interviews and job boards

No career support
Hands-on projects

Lab sessions, case studies & capstone projects

Fewer projects and no capstone projects
Dedicated support

Personalised support through 4 channels

Limited support

Got more questions?

Let our program advisor help you out with the right program based on your goals.

Career growth & earning potential

150%

Average salary hike
215,793

Job openings
$30.7 Billion

Growth by 2024
Up to 20 L

Average salary

Careers in Data Science

Here are the ideal job roles sought after by data science companies in India

Data Analyst
Business Analyst
Data Scientist
Data Engineer
Machine Learning Engineer
Data Architect
Statistician
Data & Analytics Manager

Our alumni work at top companies

Get dedicated career support

1:1 career sessions

Interact personally with industry professionals to get valuable insights and guidance
Interview preparation

Get an insiders perspective to understand what recruiters are looking for
Resume & Profile review

Get your professional profiles reviewed by experts to highlight your skills & projects
E-portfolio

Build an industry-ready portfolio to showcase your mastery of skills and tools

Learners review our data science course

Read authentic feedback from learners sharing their experience & insights

"The comprehensive curriculum helped me gain confidence in a completely new field."

I hold a B.Tech degree in Chemical Engineering. After graduation, I decided to pursue a career in technology and enrolled in the Post Graduate Program in Data Science (with Specialization in GenAI) from Great Lakes Executive Learning. The curriculum was well-structured and comprehensive, helping me learn new skills and gain confidence in a completely new field. I was especially grateful to the Placement Team and my Career Preparation Manager, who kept me updated every week about the progress and opportunities available. With their help and guidance, I successfully secured a role as an AI Intern at Mobilous. This opportunity marked a wonderful start to my career, and I am excited to learn, grow, and contribute to this field.

Read More

Yamini

AI Intern , Mobilous

16th Oct 2025
"The hands-on experience with Tableau projects was one of the most valuable aspects of the curriculum."

I completed the Post Graduate Program in Data Science (with Specialization in GenAI), formerly known as Data Science and Engineering, by Great Lakes Executive Learning. While my academic background provided the foundation, this program truly helped me take the next step in my career. The hands-on experience with Tableau projects was one of the most valuable aspects of the curriculum. Working on real-world applications strengthened my portfolio and gave me the confidence to perform well in interviews. The placement team at Great Learning offered exceptional support. They conducted one-on-one mock interviews and provided detailed feedback, which helped me improve and gain clarity. Their guidance and encouragement were instrumental in helping me secure an internship at ScatterPie as a Tableau Intern. The program’s practical learning approach and dedicated support system made a lasting impact, helping me not only master tools but also apply knowledge with confidence.

Read More

Bhushan Kanade

Tableau Intern position. , ScatterPie

18th Sep 2025
"Mentors ensured clear concept understanding and inspired questioning, researching, and continuous learning."

Throughout the Master of Data Science (Global) Program from Deakin University, my mentors ensured I understood every concept clearly. They patiently addressed my doubts, shared additional resources, and encouraged deeper exploration of each topic. This approach not only strengthened my understanding but also instilled a lasting habit of questioning, researching, and continuous learning. The consistent support and encouragement I received throughout the program inspired me to stay curious and confident in my journey, reminding me that even the smallest piece of knowledge can have great value.

Read More

Dibon Biswas

Marketing Manager , Sun Asticus

27th Aug 2025
"Continuous support and motivation from mentors and teachers helped me navigate challenges confidently."

While pursuing the Master of Data Science (Global) Program from Deakin University, I received continuous support and motivation from my mentor and teachers. Their patient explanations and structured guidance helped me navigate challenges with confidence. My mentor’s influence went far beyond academics, shaping my mindset, discipline, and problem-solving approach. I learned that mistakes are not setbacks but valuable learning moments that drive growth. This perspective has transformed the way I learn, think, and approach challenges in every aspect of my journey.

Read More

Nadeem shaikh

Assistant Professor , Dr. Ulhas Patil Law College

27th Aug 2025
"The program made a meaningful impact on my career with its seamless learning experience."

For me, the motivation to join the Master of Data Science (Global) Program by Deakin University was primarily academic. I wanted to pursue another Master’s degree in Artificial Intelligence, a subject I was truly curious and passionate about. The program lived up to my expectations; the faculty were excellent, the curriculum was comprehensive, and the overall learning experience was seamless. I can confidently say that the program made a meaningful impact on my career. It gave me both the knowledge and credibility I was seeking, fulfilling my academic aspirations while opening new professional opportunities.

Read More

Harsh Deswal

Assistant Manager , Lear Corporation.

1st Sep 2025
"The curriculum was comprehensive and industry-relevant, significantly strengthening my skills and confidence."

I chose the Post Graduate Program in Data Science with Generative AI, formerly known as Data Science and Business Analytics, from the McCombs School of Business at The University of Texas at Austin because I realized how impactful and in-demand data science is. The curriculum was comprehensive and industry-relevant, and the career support went above and beyond to help with placements. I am satisfied with the guidance and mentorship I received, and this program significantly strengthened my skills and confidence to pursue a career in data science.

Read More

Pranav Kate

AIML Engineer , Capgemini

12th Sep 2025

Read All reviews

Watch inspiring success stories

Watch story

"MIT faculty are some of the best teachers I have ever had"

MIT faculty explain everything from the very basic theory of every machine learning algorithm to the toughest concepts. Mentors let you see the practical side of things too. This is the course every student who wants to get into data science should take.

Mauricio De Garay

Student ,
Watch story

" Mentors help you understand difficult concepts and complete the course"

Studying this course has placed me in a better position to offer good counseling in my field. I am going to stretch myself to work as a Data Scientist in the business industry. I see this opportunity as a dream come true.

Berthy Buah

STMIE Coordinator , Ghana Education Service
Watch story

"The support from mentors, lecturers, and everyone involved was exceptional."

Shamelle knew she had to upskill when she moved to another country and chose Data Science as her program. As a single mother, she found the program mentors and lectures comfortable and to her liking, and recommended it to her peers.

Shamelle Chotoki

GSI Analyst , Western Union
Watch story

"Building Confidence in Big Data Management Without Prior Experience"

Joined the program to learn handling big data and exceeded expectations. Gained valuable skills in Python and Machine Learning. Highly recommend it for anyone starting their data analytics journey!

Chun Wing Ip

Student , University Of Sydney
Watch story

"From Day 1 was able to solve meaningful, real world, tangible problems"

I had a great experience with world-class instructors and live classes led by industry experts who clearly explained each concept. I highly recommend this program to anyone considering a career shift.

Brooks Christensen

DevOps Engineer , Nielsen
Watch story

"My learning experience with Great Learning was exhilarating "

I wanted to explore opportunities in data analytics but lacked certification or prior experience, so I joined this course with Great Learning. The content was well-structured and included relatable real-world case studies. My favorite part was the mentor learning sessions, which provided invaluable guidance.

Navita Singh

Business Analyst , Axis Bank
Watch story

" The course equips you with practical tools and knowledge, helping me complete a key project and earn a promotion"

This course provided me with essential tools, best practices, and practical knowledge. It helped me successfully complete a project at work, leading to the promotion I had been aiming for. The lectures were of exceptional quality, offering real-world insights. I highly recommend this program to anyone looking to upskill in data analytics

Mohammed Majdy

Service Delivery Manager , Xerox
Watch story

"Program help is not just to learn new things, but to empower me to know that I can do more"

The program provided a unique understanding and helped me manage it effectively. The knowledge gained has been invaluable in decision-making. I believe it will lead to data-driven projects. The expertise of various professionals and the solo projects were both enlightening and extremely helpful, making the experience worthwhile

Monica Suarez

Founder and CEO , Monsoon Social
Watch story

"The course was seemless and very engaging"

I enrolled to refresh my technical knowledge, and the projects were highly relevant to real-life scenarios. The mentor was an exceptional coder who explained concepts clearly, and the neural networks sessions were both engaging and fun with great examples.

Gabriela Alessio Robles

Senior Analytics Engineer , Netflix
Watch story

"The SQL and Python course enhanced my ability to extract practical insights from data"

The program offered practical exercises in data analysis and programming. Professors were highly skilled, and the focus on SQL and Python greatly improved my technical abilities.

Ashenafi Terefe

Medical Technologist , USF

Choose the data science course that suits your goals

Program Name	Post Graduate Program in Data Science with Generative AI	PGP in Data Science (with Specialization in Gen AI)	Certificate in Supply Chain Analytics with AI and ML Applications	e-Postgraduate Diploma (ePGD) in Artificial Intelligence and Data Science	AI and Data Science: Leveraging Responsible AI, Data and Statistics for Practical Impact	PGP in Data Science (with Specialization in Gen AI)	Data Analytics Essentials	AI and Data Science: Leveraging Responsible AI, Data and Statistics for Practical Impact	Post Graduate Program in Data Science with Generative AI: Applications to Business	Post-Graduate Program in Data science & Analytics	M.Tech in Data Science and Artificial Intelligence	PL-300 - Microsoft Power BI Data Analyst Certification Training	Data Analytics and Power BI Bootcamp	Master of Data Science (Global) Program	MS in Data Science Programme	Master of Data Science (Global) by Deakin University	MS in Data Science Programme
Duration	12 months	5 months	6 Months	18 months	12 weeks	9 months	16 weeks	12 weeks	7 months	7 months	2.5 years	6 Weeks	12 weeks	12+12 months	18 months	12 months	18 months
Format	Online	Classroom	Online	Online	Online	Online	Online	Online	Online	Online	Classroom	Online	Online	Online	Online	Online	Online
Eligibility	Suitable for anyone looking to expand their data science and business analytics knowledge	Undergrads (2020-current) with minimum 60% in 10th, 12th, and university grades		Bachelor's degree with a minimum of 50% aggregate marks or equivalent	Early-career professionals/senior managers with basic knowledge of math & applied stats	Bachelor’s degree and minimum grade point average of 60% in 10th and 12th grade	Young and mid career professional who want to up skill in data or business analysis	Early-career professionals/senior managers with basic knowledge of math & applied stats	Suitable for anyone looking keen to expand their Data Science and Business Analytics knowledge	Bachelor's degree with a minimum of 50% aggregate marks or equivalent	50% in any B.E/B.Tech/M.Sc (Mathematics)/MCA degree	Early career professionals, business analysts, and entrepreneurs are the best fit for the program.	Suitable for anyone looking keen to expand their Data Science and Business Analytics knowledge	Bachelor’s degree (minimum 3 years) in a related field or any discipline with at least 2 years of work experience.	4 year USA bachelor’s degree or equivalent.		4 year USA bachelor’s degree or equivalent.
Career support	Resume & LinkedIn profile review with experts, exclusive access to job boards	1:1 career mentorship, mock interviews, access to job boards and resume reviews		Get access to IIT-Bombay’s lateral hiring group	E-portfolio showcasing projects & mentorship	Personalised mentoring from industry experts and dedicated placement drives	Get your resume and LinkedIn profile reviewed by our experts to highlight your skills & projects	E-portfolio showcasing projects & mentorship	Build an industry-ready portfolio.	E-portfolio and interview prep with experts	Career guidance & mentorship with mock interviews	Build an industry-ready portfolio.	E-portfolio showcasing projects & mentorship	Resume building, access to curated jobs and interview prep	1:1 career mentorship and access to job boards		1:1 career mentorship and access to job boards
Fees	₹ 2,10,000 + GST	₹ 3,15,000 + GST	₹ 1,50,000 + GST	₹ 6,00,000 + GST	₹ 1,60,000 + GST	₹ 2,75,000 + GST	USD 3,100	₹ 1,60,000 + GST	NA	₹ 1,50,000 + GST	₹ 5,90,000	₹ 60,000 + GST	USD 1,800	₹ 5,50,000 + GST	USD 13,000	₹ 3,50,000 + GST	USD 13,000
	Download Syllabus View Program	Download Syllabus View Program	Download Syllabus View Program	Download Syllabus View Program	Download Syllabus View Program	Download Syllabus View Program	Download Syllabus View Program	Download Syllabus View Program	Download Syllabus View Program	Download Syllabus View Program	Download Syllabus View Program	Download Syllabus View Program	Download Syllabus View Program	Download Syllabus View Program	Download Syllabus View Program	Download Syllabus View Program	Download Syllabus View Program

Meet your faculty

Learn from professionals with in-depth data science knowledge and a passion to help you succeed

Biplab Banerjee

Associate Professor
CSRE, IIT Bombay

Specialized in computer vision and machine learning, with expertise in research, teaching, and consultancy

Ph.D Computer vision, IIT Bombay

Know More
Dr. Abhinanda Sarkar

Senior Faculty & Director Academics, Great Learning

30+ years of experience in data science, ML, and analytics.

Ph.D. from Stanford, taught at MIT, ISI, and IIM Bangalore.

Know More
SUDEEP BAPAT

Assistant Professor
SJM School of Management, IIT Bombay
Ph.D. | University of Connecticut

Over 6 years of experience in teaching and research, specializing in probability, statistics, and statistical learning.

Ph.D in Statistics, University of Connecticut

Know More
Caroline Uhler

Professor, EECS and IDSS

Expert in computational biology, statistics, and systems.

Award-winning scholar relentlessly driving transformative data insights.

Know More
Dr. Kumar Muthuraman

Faculty Director, McCombs School of Business, The University of Texas at Austin

Faculty Director, Center for Analytics and Transformative Technologies

21+ years' experience in AI, ML, Deep Learning, and NLP.

Know More
Munther Dahleh

William A. Coolidge Professor, EECS and IDSS; Founding Director, IDSS

Trailblazer in robust control and computational design.

Director propelling interdisciplinary research and innovation.

Know More
Dr. Abhinanda Sarkar

Senior Faculty & Director Academics, Great Learning

30+ years of experience in data science, ML, and analytics.

Ph.D. from Stanford, taught at MIT, ISI, and IIM Bangalore.

Know More
Devavrat Shah

Andrew (1956) and Erna Viterbi Professor, EECS and IDSS

Renowned expert in large-scale network inference.

Award-winning innovator in data-driven decisions.

Know More
Stefanie Jegelka

Associate Professor, EECS and IDSS

Expert in algorithms and optimization for AI.

Pioneer advancing theoretical machine learning foundations.

Know More
Dr. Daniel A Mitchell

Clinical Assistant Professor, McCombs School of Business, The University of Texas at Austin

Research Director, Center for Analytics and Transformative Technologies

15+ years of experience in financial engineering and quantitative finance.

Know More
Dr. D Narayana

Senior Faculty, Academics, Great Learning

18+ years in AI, ML, and financial engineering solutions

PhD in Mathematics from Pierre and Marie Curie University, France

Know More
John N. Tsitsiklis

Clarence J. Lebel Professor, Dept. of Electrical Engineering & Computer Science (EECS) at MIT

Leader in optimization, control, and learning.

Renowned scholar with multiple prestigious accolades.

Know More
Prof. Mukesh Rao

Senior Faculty, Academics, Great Learning

20+ years of expertise in AI, machine learning, and analytics

Director - Academics at Great Learning

Know More
Mr. Udit Mehrotra

Data Scientist, Stripe

10+ years of experience in data science

Former Data Scientist at Mc.Kinsey & Company, Dell

Know More
Tamara Broderick

Associate Professor, EECS and IDSS, MIT.

Expert in machine learning and statistics, focusing on Bayesian methods and graphical models.

Committed to advancing scalable, non-parametric, and unsupervised learning techniques in research.

Know More
Dr. D Narayana

Senior Faculty, Academics, Great Learning

18+ years in AI, ML, and financial engineering solutions

PhD in Mathematics from Pierre and Marie Curie University, France

Know More
Philippe Rigollet

Professor, Mathematics and IDSS, MIT

Specializes in high-dimensional statistical methods, integrating concepts from statistics, machine learning, and optimization.

Recent focus on optimal transport and its applications in geometric data analysis and sampling.

Know More
Mr. R Vivekanand

Co-Founder and Director

Expert in data visualization and marketing econometrics with 10+ years

Qualified Tableau trainer passionate about teaching business analytics

Know More
Victor Chernozhukov

Professor, Economics and IDSS, MIT

Renowned expert in econometrics, mathematical statistics, and machine learning, focusing on high-dimensional uncertainty.

Recognized fellow of The Econometric Society, with numerous prestigious awards and honors.

Know More
Guy Bresler

Associate Professor, EECS and IDSS, MIT

Engaged in rigorous mathematical modeling at the intersection of engineering and mathematics to tackle real-world challenges.

Investigates combinatorial structures and computational tractability, yielding theoretical advancements in high-dimensional inference and applications.

Know More
David Gamarnik

Nanyang Technological University Professor of Operations Research, Sloan School of Management and IDSS, MIT

Expertise in probability, random graphs, algorithms, and queueing theory within Operations Research, fostering theoretical advancements.

Award-winning researcher, with accolades like the Erlang Prize, reflecting significant contributions to operational methodologies.

Know More
Kalyan Veeramachaneni

Principal Research Scientist at the Laboratory for Information and Decision Systems, MIT.

Specializes in machine learning and large-scale statistical models for insights from vast data sets.

Director of the "Data to AI" group, tackling challenges in AI applications for societal impact.

Know More
Dr. Pavankumar Gurazada

Senior Faculty, Academics, Great Learning

15+ years of experience in marketing, digital marketing, and machine learning.

Ph.D. from IIM Lucknow; MBA from IIM Bangalore; IIT Bombay graduate.

Know More
Jonathan Kelner

Professor, Mathematics, MIT

Expert in algorithms, complexity theory, and theoretical computer science, contributing significantly to applied mathematics research.

Distinguished educator honored with multiple teaching awards, including the MIT Harold E. Edgerton Faculty Achievement Award.

Know More
Ankur Moitra

International Career Development Professor, Applied Mathematics and IDSS, MIT

Recognized mathematician advancing data science and statistics through innovative research and educational leadership.

Recipient of multiple prestigious awards, including the Alfred P. Sloan Fellowship and NSF CAREER award, reflecting scholarly excellence.

Know More

Interact with our mentors

Interact with dedicated and experienced data science experts who will guide you in your learning and career journey

Satish Raghavendran

Vice President, Deloitte
Aniket Chhabra

Principal Product Manager, ASAPP
Manish Gupta

Senior Applied Scientist,Microsoft
V Shekhar Avasthy

Chief Data Scientist & Principal Consultant, Facts 'n' Data
Onkar Gayakwad

Assistant Manager, Mahendra Next Wealth IT India Pvt Ltd
Sreevasan P S

Data Science Practitioner, AI/ML Mentor, Ex - Cognizant
Aishwarya Krishna Allada

Senior Data Scientist
Balaji Sundararaman

Mentor - Data Science, ML, AI and Analytics at Great Learning
Udayakumar Devaraj

Senior Data Scientist, WNS
Saurabh Sanjay Kango

Senior Manager Data Science and Analytics
Reza Bagheri

Data Scientist
Tathagata Dasgupta

Analytics, NITS Solutions
Ashwani Balyan

Technical Trainer, Sharda University
Ishwor Bhusal

Data Scientist - Supply Chain Data Innovation, Nissan Motor Corporation

Explore more about the programs

Get all your queries answered through our quick links

Data Science Course Eligibility

Find the top Data Science courses at Great Le...

Learn more

Data Science Course Fees

Accelerate your career by exploring a wide ra...

Learn more

Data Science Course Syllabus

Unlock the power of data with a comprehensive...

Learn more

Data Science Course With Placement Opportunities

Discover the power of a data science course w...

Learn more

Data Science Certificate Course

Explore top online data science and data anal...

Learn more

Data Science Course Reviews

Delve into various data science course review...

Learn more

Data Analytics Courses

Great Learning's data analytics courses offer...

Learn more

Masters In Data Science

Advance your career with Great Learning’s Mas...

Learn more

Data Science skills you will learn

Our courses explore all the latest skills & technologies for all aspiring data science professionals

Data Analysis

Data Visualization

NLP

Retrieval-Augmented Generation (RAG)

Prompt Engineering

Logistic regression

Linear regression

Business Analytics

Power BI

Python & R

Data Analysis

Data Visualization

NLP

Retrieval-Augmented Generation (RAG)

Prompt Engineering

Logistic regression

Linear regression

Business Analytics

Power BI

Python & R

Top data science projects

Engage in practical projects to build skills in Data Science and Analytics

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.

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.

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

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.

Essential tools for aspiring data scientists

Master Data Science tools that are currently relevant in the industry

Python
SQL
NumPy
Pandas
Seaborn
scikit-learn
Keras
Tensorflow
Transformers
ChatGPT
OpenCV
SpaCy
LangChain
Docker
Flask
Whisper
ML Flow
Github
Gemini
Dall.E
And More...
View More

Start learning with free data science courses

Participate in our webinars

Learn & interact with our faculty masterclasses, success stories of past learners and insights from industry experts

PAST

How to use Data Analytics to improve your fantasy team's chances at winning

09 November 2022 | 09:30PM IST

Paolo Esquivel

Senior Data Scientist, Course Hero

View recording

PAST

A Master's in Data Science from the #9 University in the USA

25 October 2023 | 06:00PM IST

Dr. Abhinanda Sarkar

Academic Director, Great Learning

View recording

PAST

Your Fast-Track to AI & Data Science

17 September 2025 | 07:00PM IST

Mr. Abhinand. P Nair

Career Expert - Great Learning

View recording

Frequently asked questions

Program Details

Eligibility

Career-Related Queries

Program Details

What is a Data Science Course?

The Data Science course is a fine blend of mathematics, statistical foundations and tools, and business acumen, all of which assist in extracting from raw data the hidden patterns or insights that can significantly aid in formulating important business decisions. Proving prevalent in academics, Business analytics courses are now an amalgamate of Data Science.

The major components of the course also include scientific computing, data structures and algorithms, data visualization and data analysis, and machine learning tools and techniques to escalate business performance. The course could be around six to twelve months, designed to give candidates a solid foundation in the discipline. In addition to educational materials, our Data Science certificate courses contain virtual laboratories, interactive quizzes and assignments, case studies, industrial projects, and capstone projects, which will accelerate your learning path.

Is doing Data Science Course 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: A Data Scientist’s average pay scale ranges from USD 15,000 to USD 125,000 (approx.) worldwide.

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

Should I go for a data science certificate or degree?

Deciding between a data science certificate course and a data science degree course depends on your qualifications, career goals, and the time and resources you can commit. A degree in data science typically offers an in-depth skill set, and it's well-suited for those who are early in their career. The ones who are looking to gain a strong foundation in data science can also consider a data science online degree.

On the other hand, data science professional certificates are more focused and flexible. It allows learners to specialize in specific areas of data science. They are ideal for professionals seeking to update their skills or pivot to a data science career without committing to a full-time degree program.

Which certificate is best for data science?

There are a variety of data science certificate courses available, each with its own benefits. The best certificate for data science depends on your individual goals and needs. If you are looking to strengthen your career or change jobs, a certificate from a reputable institution can give you the edge you need.

The data science certificate course from the University of Texas at Austin McCombs School of Business is an excellent choice for aspirants. World-renowned professionals from UT Austin and Great Learning have designed the curriculum. This certificate program equips you with the relevant knowledge and skills to pursue data science or managerial careers with the best analytics firms or move the analytics roles within your existing organization.

What is the syllabus of data science?

When it comes to learning data science, the common question that usually comes to mind is: what is the syllabus of data science? While there is no one-size-fits-all answer to this question, there are certainly some core topics and skills that all data scientists should know.

In general, the syllabus of data science covers three key areas: statistics, machine learning, and data mining. Each of these areas is essential for any data scientist, as they provide the foundation for understanding and manipulating data.

A standard syllabus for data science includes:

Statistics and Mathematics
Programming using Python or R
Database Management using SQL
Exploratory Data Analysis
Machine Learning and Artificial Intelligence
Time Series Forecasting
Data Mining
Business Analytics
Data Visualization using Tableau or Power BI

No matter your experience in data science, if you want to be a data scientist, it is critical to have a strong foundation in these core areas. With this foundation, you will be able to tackle any data science challenge that comes your way.

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 or degree certificate from respective institutes or universities.

Eligibility

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

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 modeling, 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 in comprehending the complex outcomes and letting the audience understand the metrics.

Career-Related Queries

Are there any Data Science courses for working professionals?

Yes, there are Data Science courses designed for working professionals, like senior managers, business leaders, entrepreneurs, etc. They include:

MIT Data Science and Machine Learning - Making Data-Driven Decisions using Data Science and Machine Learning
MS in Data Science - Northwestern University
Data Science and Business Analytics Course - UT Austin
Data Science and Business Analytics Classroom Course - Great Lakes
PG in Data Science Online - Great Lakes
PGP in Data Science - Great Lakes (Bootcamp)
Applied Data Science - MIT (International Program)
Data Analytics Essentials - UT Austin (International Program)
Master of Data Science (Global) - Deakin University

Which is the best institute for Data Science training?

There is no one-size-fits-all answer to this question, as the best institute for Data Science training will vary depending on your specific needs and goals. Nevertheless, some factors to consider when choosing a Data Science training institute include the institute's reputation, curriculum, and instructors. It is also vital to ensure that the institute you choose offers an accredited Data Science program that will help you become a certified data scientist.

Here is a list of a few top-notch institutes for Data Science training:

Is data science a good career option?

Data science is an excellent career choice for those with strong analytical and problem-solving skills. The field is projected to proliferate in the coming years, and data scientists are in high demand.

Data science is a versatile field, and data scientists can work in a variety of industries, including healthcare, finance, government, and tech. Salaries for data scientists are also very competitive and among the highest salaries offered in any profession.

The demand for data scientists is increasing as businesses become more reliant on data to make data-driven business decisions. Data science is a relatively new subject, and there is a lot of opportunity for growth and advancement.

What is the salary of a data scientist fresher across the world?

With the increase in the demand for data scientists across the globe, salaries are also skyrocketing. Data scientists are making generous pay from top-notch companies. Since there is a lack of data science professionals in the field, even freshers are earning excellent salaries.

The following are a few salaries of a data scientist fresher from different countries:

Data scientist salary in the United States: USD 101K per annum
Data scientist salary in the United Kingdom: £55K per annum
Data scientist salary in India: ₹10.5 Lakh per annum
Data scientist salary in Germany: €55K per annum
Data scientist salary in Australia: AU$121K per annum

What is a data scientist's job?

A data scientist's job is to collect, clean, and analyze data to find trends and insights. They use their skills in statistics, programming, and machine learning to build models and algorithms to optimize decision-making. Data scientists also communicate their findings to others through reports and presentations. Data scientists work in multiple industries, including healthcare, finance, technology, and retail. They utilize their skills to solve business problems and help organizations make more informed decisions.

Data scientists typically have a background in computer science, statistics, and mathematics. A data scientist's job is to make sense of data. They use their skills in statistics, computer science, and mathematics to clean, organize, and analyze data. Data scientists also develop algorithms to help make decisions based on data.

What are the career options in data science?

Choosing a job opportunity in data science gives you a lot of career options:

Data Scientist: Responsible for analyzing and interpreting complex data to help inform business decisions.
Data Analyst: Focuses on processing and performing statistical analyses on large datasets.
Machine Learning Engineer: Specializes in designing and implementing machine learning techniques, models and systems.
Data Engineer: Focuses on the preparation of 'big data' for analytical or operational uses.
Business Intelligence (BI) Analyst: Uses data to help organizations make better business decisions.
Data Science Manager/Lead: Ensures meeting organizational goals with various data science teams and projects.
Research Scientist: Engages in data-driven research, often in academic, government, or corporate settings.
Statistician: Applies statistical methods to collect, analyze, and interpret data to solve real-world problems in business, engineering, healthcare, or other fields

What is the future scope for data scientists?

The future scope for data scientists is promising. With the advent of AI and machine learning, companies in various sectors, such as healthcare, finance, retail, and e-commerce, are increasingly leveraging data to make informed business decisions, resulting in a growing demand for data scientists.

As per the U.S. Bureau of Labor Statistics, the future for data scientists is highly promising, with a 35% growth in employment from 2022 to 2032, which is higher than all the other occupations.

What are the benefits of a data science boot camp?

A data science boot camp offers several benefits, such as:

Providing a fast-paced, intensive learning environment that helps you gain data science skills in a relatively short period
Focusing on practical, hands-on learning with real-world projects
Providing mentorship from industry experts and career support, helping you transition into a data science role more smoothly

What is the demand for data science jobs in 2026?

The demand for data science jobs is extremely high, and data is considered the new oil in today's digital economy. Companies across industries are seeking professionals who can interpret and analyze this data to provide business insights. Therefore, the demand for data science skills, including machine learning, predictive analytics, and data visualization, is rising significantly.

Master skills. Build a Career.

Modern skills for modern careers

Stay at the top of your game with skills from the hottest domains. Explore topics that interest you most and see how the programs are relevant to you.