Why Great Learning?

Great Learning offers a variety of comprehensive Data Science courses that equip candidates for distinct 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.

Data Science Course Curriculum designed to drive business outcomes

Exhaustive data science course syllabus 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 subjects.

Prof. Dan Mitchell
Prof. Dan Mitchell

Phd (University of Maryland)

Clinical Assistant Professor

Devavrat Shah
Devavrat Shah

MIT

Director, Statistics and Data Science Center (SDSC)

Munther Dahleh
Munther Dahleh

MIT

Director, MIT Institute for Data, Systems and Society (IDSS)

Caroline Uhler
Caroline Uhler

MIT

Henry L. & Grace Doherty Associate Professor, Institute for Data, Systems and Society (IDSS)

John N. Tsitsiklis
John N. Tsitsiklis

MIT

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

Stefanie Jegelka
Stefanie Jegelka

MIT

Associate Professor, Dept. of Electrical Engineering & Computer Science and member of Computer Science and AI Lab (CSAIL) and Institute for Data,Systems and Society (IDSS)

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Our Industry Mentors

The mentors of Data Science Courses are highly skilled industry practitioners of Data Science Domain working with the top notch companies.

Serdar Cellat
Serdar Cellat

Principal Data Scientist

Liberty Mutual Insurance (USA)

Nitish Jaipuria
Nitish Jaipuria

Strategist (Data Science)

Google (Singapore)

Weibiao (Wilson) Huang
Weibiao (Wilson) Huang

Analytics Consultant

Boston Consulting Group (Singapore)

Dale Seema
Dale Seema

Data Science Specialist

FNB South Africa

Amit Jain
Amit Jain

Deputy Manager - Business Analytics & Business Intelligence

Keppel Corporation Limited (Singapore)

Vaibhav Verdhan
Vaibhav Verdhan

Principal Data Scientist

Johnson & Johnson’s (Ireland)

Phumzile Phantsi
Phumzile Phantsi

Data Scientist

ABSA Group (South Africa)

Adaikalavan Ramasamy
Adaikalavan Ramasamy

Senior Research Scientist

Genome Institute of Singapore (GIS)

Wole Ogungbesan
Wole Ogungbesan

Director - Advance Analytics & Automation

UBS (United Kingdom)

Roman Mozil
Roman Mozil

Applied Data Scientist

Finning (Canada)

Kalle Bylin
Kalle Bylin

Product Engineer

Modyo (Colombia)

Subhodeep Dey
Subhodeep Dey

Data Scientist (Project Lead)

UnitedHealth Group (India)

George Liu
George Liu

Senior Data Scientist

Chatter Research (Canada Area)

Joseph Deutsch
Joseph Deutsch

Data Scientist

Capital One (United States)

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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 by aspiring data scientists and get inspired.

Marketing

Airplane Passenger Satisfaction Prediction

Using the survey data, predict whether the customer will be satisfied or dissatisfied with the services that the Airlines is providing
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Entertainment

Movie Lens Data Exploration

The GroupLens Research Project is a research group in the Department of Computer Science and Engineering at the University of Minnesota. In this project, we will perform exploratory data analysis to understand the popularity trends of movie genres and derive patterns in movie viewership.
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Social Media

Facebook Comments Prediction

Using the attributes of a facebook post, including the number of people talking about the post, number of check-ins on the page, day of the week, etc, predict how many comments a Facebook post would get.
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Insurance

Insurance Claim Prediction

A key challenge for the insurance industry is to charge each customer an appropriate premium for the risk they represent. In this project, we will build a regression model to predict the cost of insurance claims using user information on age, gender, bmi, blood pressure, health conditions, as well as insurance claim details.
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Social + Healthcare

West Nile Virus Prediction

Given weather, location, testing, and spraying data, this competition asks you to predict when and where different species of mosquitoes will test positive for West Nile virus. A more accurate method of predicting outbreaks of West Nile virus in mosquitoes will help the City of Chicago and CPHD more efficiently and allocate resources towards preventing transmission of this potentially deadly virus.
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Telecom

Network Congestion Type Prediction

The telecom industry is faced by a common challenge of network congestions due to various factors. To solve this problem, we will use data usage information of mobile phones from various telecom companies and find out a relation between the features of the mobile phone service provider (eg => bytes consumed through various services, etc.) and types of network congestion.
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Insurance

Insurance Premium Default Propensity Prediction

Predict the probability that a customer will default on their premium payment, so that the insurance agent can proactively reach out to the policy holder to follow-up for the payment of premium
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Sales & Marketing

Forecasting Monthly Sales of French Champagne

Being able to make accurate predictions of future revenue can be hugely important for businesses. This project will focus on forecast the next monthly revenue of a french chamapagne brand, which will inform the decision-making process across all areas of the business, from purchasing decisions and marketing activity to staffing levels.
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Retail

Retail Sales Prediction

Predict the department-wide sales for each store for the following year and model the effects of mark-downs on holiday weeks. Based on your findings, provide recommended actions, with prioritization placed on largest business impact.
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Healthcare

COVID-19 Global Forecasting

The capstone project is a focused approach to attempt a real-life challenge with the learnings from the program. In this project, you will use a combination of various datasets and models to forecast and predict daily cases and deaths. You will also create various plots to gain insights and showcase your results. the data has been collected from different sources like WHO, WorldoMeters, 1Point3Arces and many more to understand various aspects and build relevant features to use in models.
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Banking

Loan Customer Identification

Identify potential loan customers for a bank using classification techniques and compare models to select the best performing one.
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E-Commerce

Product Recommendation System

Online E-commerce websites like Amazon use different recommendation models to provide different suggestions to different users. Amazon currently uses item-to-item collaborative filtering, which scales to massive data sets and produces high-quality recommendations in real-time. In this project, you will use similar concepts to create your own product recommendation system.
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HR

CEO Compensation

Examine the linkage between CEO compensation and company performance using the tools of descriptive and inferential statistics.
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Object Detection

Face Mask Segmentation

Predict and apply masks over the faces detected in images using Convoluted Neural Networks and image recognition algorithms. The goal of the project is to build a system that acts as a face detector to locate the position of a face in an image and apply a segmentation mask on the face. For this, we will utilise data from over 409 images and 1000 faces from the WIDER FACE dataset.
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Insurance

Insurance Data Visualization

Create interactive dashboards using Tableau’s data visualization tools to provide policy-level insights to the CEO of an insurance company.
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News & Media

Sarcasm Detection

Past studies in Sarcasm Detection mostly make use of Twitter datasets collected using hashtag based supervision, but such datasets are noisy in terms of labels and language. Furthermore, many tweets are replies to other tweets and detecting sarcasm in these requires the availability of contextual tweets. In this hands-on project, the goal is to build a model to detect whether a sentence is sarcastic or not, using Bidirectional LSTMs. The dataset is collected from two news websites, theonion.com and huffingtonpost.com.
Learn more
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User testimonials of Data Science Programs

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

I loved the course because it really just stretched me into a whole new world. I was really happy with my results in the course and that was really thanks to the amazing mentors and lecturers and of course the program management.

Leanne Da Cerca

Senior Group Manager, Johannesburg, South Africa

Program : PG Program in Data Science and Business Analytics

As far as the PGP-DSBA is concerned, I was amazed to meet a lot of people. I want to thank the program manager and fellow students in cohort that joined me in hearing words of wisdom during each lecture.

Moeti Manoto

Service Manager, Openserve, South Africa

Program : PG Program in Data Science and Business Analytics

Thank you all for putting up a fantastic program and imparting knowledge to us through content, resources, and support to get a good grasp on the topics. I truly appreciate it.

Seun Lawal Anako

Senior Manager, Business Compliance, America Tower Company, Nigeria

Program : PG Program in Data Science and Business Analytics

What Heena [Program Manager] give us, especially to me, is the support that I didn’t receive from any other online courses. I appreciate the constant messaging and constant checking on us, how’s our progress or any other concerns that we need to raise.

Fermar B Talosig

Senior Associate Engineer

company logo

Program : PG Program in Data Science and Business Analytics

The mentored learning sessions were very very useful. The good part about mentored learning was that the group was small so everyone had an equal chance. It was very easy to express ourselves. The mentors were great, very knowledgeable.

Salim Khan

Planning and Performance Manager

company logo

Program : PG Program in Data Science and Business Analytics

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Learner Reviews for our Data Science Programs

11 Jun 2021
Batch of May 2021 | United States
Caroline was fantastic!! Humble teaching and a world of knowledge! Love to learn more from her.

Program : Applied Data Science Program

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11 Jun 2021
Batch of January 2021 | Manager at Kc Accounting And Bookkeeping | Canada
I like the way how she explains the concepts. She makes it easy to understand

Program : PG Program in Data Science and Business Analytics

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09 Jun 2021
Batch of November 2020 | United States
I would just like to thank Selvam Periyasamy for taking the time to chat with me and provide me guidance on my career path. Our meeting was very insightful and he addressed all my concerns. I've gained clarity on the areas I need to work on and a more realistic expectation my career down the line. Thank you sooo much, Gina.

Program : PG Program in Data Science and Business Analytics

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06 Jun 2021
Batch of May 2021 | Product Manager/Solution Architect For Bizzle Space Product Release at Ministry Of Transport & Communications Contract | United States
The faculty team is truly awesome and thorough in answering questions. A clear objective of achieving understanding vs going through the motions.

Program : Applied Data Science Program

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11 Jun 2021
Batch of May 2021 | Researcher at Rutgers University–New Brunswick Part Time | United States
Professor has a talent to make difficult concepts simple to grasp. The program was insightful and a pleasure to attend.

Program : Applied Data Science Program

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01 Feb 2021
Batch of July 2020 | Assistant Network Manager at Advans La Fayette Mfb Full Time | Nigeria
He is a great teacher. He goes the extra mile to ensure we all understand all that is left and also encourages participation during the sessions to be sure we all understand what is expected to be done. I say well done and thank you

Program : PG Program in Data Science and Business Analytics

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08 Jun 2021
Batch of May 2021 | United States
The faculty would always explain any questions with details & spend enough time to answer them.

Program : PG Program in Data Science and Business Analytics

See all Reviews of this program
06 Jun 2021
Batch of May 2021 | United States
Misbah is patient and very steady in meeting the group where ever we may be. She is a wonderful instructor. Appreciate it.

Program : Applied Data Science Program

See all Reviews of this program
10 Jun 2021
Batch of May 2021 | United States
Caroline has an amazing depth of knowledge. Appreciate it.

Program : Applied Data Science Program

See all Reviews of this program
07 Jun 2021
Batch of December 2020 | Data Solution Integration Advisor Finance Transformation Program at Exxon Mobil Contract | United States
Excellent program. Well explained. Very conscious of questions and doubts and clearing them up.

Program : PG Program in Data Science and Business Analytics

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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.

 

Salary Estimates for Data Science Professionals

This domain of Data Science claims to offer one of the highest-paid job roles all across the globe. The average pay scale of a data scientist across the United States is estimated as $121,921 per annum. In the United States, the salary scale of Data Scientists ranges from $60k to $130k per annum, says Indeed. The average salary Data Science professional is expected to be $121,921 per annum. Great Learning offers the best data science graduate programs.

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.