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Explore Data Science Courses

Browse the best data science courses offered by Great Learning. Here is the list of courses to start your career and gain the skills and expertise to advance in the data science field.

Get to Know Our Data Science Courses

Introduction to Data Science Courses

The Best Course for Data Science

Data Science Course Fees

Data Science Course Syllabus (Curriculum)

Data Science Courses Faculty

Data Science Course Subjects

Data Science Courses Universities

Data Science Course with Placements

Data Science Course Duration

What is the best data science course for a beginner in 2024?

MIT Data Science Courses Offered in Partnership with Great Learning

UT Austin's Data Science Courses Offered in Partnership with Great Learning

Data Science Course Eligibility

Introduction to Data Science Courses
Introduction to Data Science Courses

The ever-growing importance of data in today’s business landscape makes Data Science courses a must for anyone looking to start or further their career. Data Science courses offer people the opportunity to learn the ins and outs of Data Mining, Modeling, and Analysis, giving them the skills they need to make data-driven decisions in their chosen field. 

 

Data Science courses help people to develop the skills and knowledge necessary to become successful professionals in this discipline. In addition to learning the theory behind Data Science, these courses also provide people with practical experience working with data. This experience is essential for people who want to pursue careers in Data Science, as it helps them to understand how to use data to solve real-world problems effectively.

 

In addition to the technical skills gained in these courses, people will also develop soft skills, such as problem-solving and critical thinking, which are essential in any business role. With the insights gained from these courses, businesses can make more informed decisions, leading to improved efficiency and profitability.

 

Anyone looking for a comprehensive introduction to Data Science will find plenty of courses to choose from. These courses from Great Learning cover everything from the basics of Statistical Analysis and Machine Learning to more specific topics like Data Visualization, Data Analytics, and Data Mining.

Types of Data Science Courses:

 

1. Data Science Online Courses

 

Learning Data Science online gives you the flexibility to learn at your own pace and fit your studies around your work and other commitments. You’ll also have access to a wealth of online resources, including video tutorials, lectures, and forums where you can ask questions and get feedback from fellow students and instructors.

 

Here is the list of Data Science courses offered online by Great Learning in Collaboration with Universities:

 

 

2. Data Science Classroom Courses

 

Learning Data Science in a classroom environment will also give students the opportunity to learn from industry experts and build a network of contacts in the industry.

 

Here is the list of Data Science courses delivered in the classroom format for aspirants:

 

 

So what are you waiting for? Start your Data Science journey today!

Data Science Course Fees
Data Science Course Fees

 

Course

Fees*

PGP - Data Science and Business Analytics

India: ₹ 2,50,000 + GST

Abroad: USD 3800

PGP - Data Science and Engineering (PGP-DSE)

₹ 2,75,000 + GST

PGP in Data Science and Engineering (Bootcamp)

₹ 3,50,000 + GST

Data Science and Machine Learning Program

India: USD 1900

Abroad: USD 2100

Master’s in Data Science

USD 13,000

Applied Data Science Program 

USD 3900

Data Analytics Essentials 

USD 2200

Master of Data Science (Global)

USD 7500

Data Analytics Program - Great Learning Career Academy

₹ 1,50,000 + GST

 

*Please visit the respective program page for detailed information on the fee structure.

Data Science Course Syllabus (Curriculum)
Data Science Course Syllabus (Curriculum)


The Data Science course syllabus at Great Learning provides the skills you need to become a successful Data Scientist, Data Analyst, Business Analyst, Data Engineer, and many more. You will learn the fundamental Data Science concepts, tools, and techniques. You will learn to use Python, SQL, and R for Data Analysis and visualize and interpret data for gathering insights. The course covers Regression and Prediction, Machine Learning techniques, and much more. You will also complete Capstone Projects to hone your practical skills and implement them in the industry.

 

Data Science Courses Faculty
Data Science Courses Faculty


The faculty team of our Data Science courses comprises top academicians in Data Science, along with numerous other skilled industry practitioners from leading universities and organizations that practice this cutting-edge domain.

Data Science Course Subjects
Data Science Course Subjects

Before enrolling, it is usually advised to thoroughly understand the course syllabus, enabling you to determine whether the course equips you with the required skills. The subjects involved in Data Science are as follows:
 

Subjects

Subject Description

Introduction

It will provide a brief description of the Data Science course and the significance of Data Science in the industry. 

Programming Languages

You will learn programming languages such as Python, R, and SQL for Data Analysis, Data Wrangling, Data Visualization, and Machine Learning.

Statistics

You will understand how to analyze data sets to draw insights and make predictions.

Data Mining

It introduces you to Data Mining, including a brief overview of the different techniques and approaches, such as Clustering, Decision Trees, and Neural Networks.

Machine Learning

You will learn about the different types of Machine Learning algorithms and how to train, test, and deploy them in real-world applications.

Time Series Forecasting

You will learn how to identify and model time series patterns and use these models to make forecasts in decision-making.

Big Data

You will also learn about the tools and techniques that Data Science professionals use to make sense of Big Data.

Data Analytics

It will cover the different types of Data Analytics techniques, including Exploratory Data Analysis, Predictive Modeling, and Prescriptive Analytics, which can benefit businesses.

Business Analytics

You will understand the process of analyzing data to gain insights that help businesses make better decisions.

Data Visualization

You will learn how to create and interpret data visualizations and use them to communicate data effectively.

Data Science Courses Universities
Data Science Courses Universities

If you’re looking to learn Data Science from the world’s top-ranked universities, you’ve come to the right place. The courses are offered by:

 

 

With multiple options available, you’re sure to find a course that meets your requirements.

Data Science Course with Placements
Data Science Course with Placements

No, Great Learning offers only dedicated placement assistance to Data Science courses. We provide placement services and career support but not placement. You can get access to career fairs, job boards, career prep sessions, networking sessions, hackathons & live projects that help you land your dream job. In our PG Program in Data Science and Engineering [Bootcamp], you will get Dedicated Placement Assitance, a Personalized resume & Linkedin Review, 1:1 mock interviews with industry experts, and Access to 150+ job postings every month.

Data Science Course Duration
Data Science Course Duration

 

Course

Duration

PGP - Data Science and Business Analytics

India: 11 months

Abroad: 6 months

PGP - Data Science and Engineering (PGP-DSE)

9 months

PGP in Data Science and Engineering (Bootcamp)

5 months

Data Science and Machine Learning: Making Data-Driven Decisions

12 weeks

Master’s in Data Science

18 months

Applied Data Science Program - (International Program)

12 weeks

Data Analytics Essentials - (International Program)

3 months

Master of Data Science (Global)

24 months

M.Tech in Data Science and Machine Learning (PES University)

2 years

Data Analytics Program - Great Learning Career Academy

4 months

MBA Degree Program (Shiv Nadar University, Delhi NCR)

2 years

Executive MBA (PES University)

2.5 years

What is the best data science course for a beginner in 2024?
What is the best data science course for a beginner in 2024?

For a fresher in 2024, there are several top-notch data science courses offered by Great Learning. They are listed below:

 

MIT Data Science Courses Offered in Partnership with Great Learning
MIT Data Science Courses Offered in Partnership with Great Learning

Massachusetts Institute of Technology (MIT), in partnership with Great Learning, offers a variety of in-depth online postgraduate certificate programs specifically designed for professionals seeking to enhance their careers. These programs emphasize key areas in data science and technology, ensuring participants are well-equipped for the dynamic demands of the industry. Below is a comprehensive overview of the programs available, including details on duration, learning mode, focus areas, and pricing:
 

                         Program Name     Duration Learning Mode                  Focus Area        Price
MIT Data Science and Machine Learning Program     12 Weeks        Online Data Science & Machine Learning 2,300 USD
MIT Applied Data Science Program     12 Weeks        Online Applied Data Science 3,900 USD

 

These MIT programs, facilitated through Great Learning, are structured to offer flexibility and convenience, making them ideal for mid-career professionals. The courses blend theoretical insights with practical applications, preparing participants for the rapidly evolving landscape of the data science and technology sectors.

UT Austin's Data Science Courses Offered in Partnership with Great Learning
UT Austin's Data Science Courses Offered in Partnership with Great Learning

The University of Texas at Austin, in collaboration with Great Learning, offers a range of comprehensive online postgraduate certificate programs designed for professionals. These programs are tailored to accelerate your professional growth, focusing on top-ranked data and technology fields. Here's a detailed overview of the available programs, including their duration and specific focus areas:
 

Program Name Duration  Learning Mode Focus Area Price
PG Program in Data Science and Business Analytics 6 Months           Online Data Science & Business Analytics 3,600 USD
Data Analytics Essentials 3 Months           Online Data Analytics 2,700 USD


These programs are designed to be flexible and accessible, offering mentored online learning experiences that cater to mid-career professionals. They provide a blend of theoretical knowledge and practical skills, preparing you for the evolving demands of the tech industry.

Data Science Course Eligibility
Data Science Course Eligibility

Below are the eligibility requirements for a range of data science courses.

 

Course

Eligibility*

PGP - Data Science and Business Analytics

Graduates and Working Professionals

PGP - Data Science and Engineering (PGP-DSE)

Graduates and Working Professionals

PGP in Data Science and Engineering (Bootcamp)

Graduates and Working Professionals

Data Science and Machine Learning Program

Working Professionals, Managers, Leaders, and Entrepreneurs

Master’s in Data Science

Graduates and Working Professionals

Applied Data Science Program

Working Professionals and Entrepreneurs

Data Analytics Essentials 

Undergraduates and Working Professionals

Master of Data Science (Global)

Graduates and Working Professionals

M.Tech in Data Science and Machine Learning (PES University)

Bachelor’s Degree along with 2+ years of professional experience

Data Analytics Program - Great Learning Career Academy

Undergraduates and Working Professionals

MBA Degree Program (Shiv Nadar University, Delhi NCR)

Undergraduates and Working Professionals

Executive MBA (PES University)

Bachelor’s Degree along with 2+ years of professional experience

 

*Please visit the respective program page for detailed information on the eligibility criteria.

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Data Science Course - Career Transitions

Read our learners' most inspiring stories who confronted successful career transitions into the most exciting job roles of Data Science.

  • hike icon483% hike

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    Kamini Sahu

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    Data Science

    Business Development Executive

    Dynamo Consulting Services Limited

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    Associate Business Analyst

    Cotiviti

    Cotiviti
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    Sneha Jaiswal

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    Data Science

    Teacher Partner

    Cuemath

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    Data Processing Analyst

    NielsenIQ

    NielsenIQ
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    Abdul Rauf Mohammad

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    Data Science

    Product Owner

    JPMorgan Chase & Co.

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    Vice President

    Wells Fargo

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    Rajat Dekate

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    Data Science

    Entrepreneur

    MMKR POLYPLAST PVT. LTD.

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    Associate Business Analyst

    Cotiviti

    Cotiviti
  • link icon

    Dhivya Karthic

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    Data Science

    Education Program Manager

    IIT Madras | IIM Bangalore

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    Analyst

    Deloitte Consulting

  • hike icon131% hike

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    Rishi Tiwari

    linkedin icon

    Data Science

    Assistant Manager

    Zerodha Broking Limited

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    Data Analyst

    Reliance Retail

    Reliance Retail
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    Siddharth Shinde

    linkedin icon

    Data Science

    Process Associate

    Genpact

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    Data Analyst

    Dell

  • hike icon133% hike

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    Ajit Muthunarayanan S

    linkedin icon

    Data Science

    Digital content associate

    Amazon

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    Business Analyst

    HCL

    HCL
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    Ajay Devdas Pananchikal

    linkedin icon

    Data Science

    DATABASE ADMINISTRATOR

    Larsen And Toubro Infotech

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    Product Analyst

    Big Basket

    Big Basket
  • hike icon125% hike

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    Ann Maria John

    linkedin icon

    Data Science

    Drug Safety Associate

    IQVIA RDS (India) Private Limited

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    Business Analyst

    Genpact

  • hike icon87% hike

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    Akansha Pruthi

    linkedin icon

    Data Science

    Process Associate

    Genpact

    arrow

    Research Analyst

    Indegene

  • link icon

    Aditya Sabbisetti

    linkedin icon

    Data Science

    Data Analyst

    Makemytrip

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    Data Analyst

    Walt Disney

    Walt Disney
  • hike icon35% hike

    link icon

    Akash Sah

    linkedin icon

    Data Science

    Senior System Engineer

    Infosys

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    Associate Consultant

    EY India

  • hike icon33% hike

    link icon

    Amulya Manne

    linkedin icon

    Data Science

    SPS Associate - SME

    Amazon.com

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    Data Analyst

    Myntra

    Myntra
  • hike icon83% hike

    link icon

    Akshaya N

    linkedin icon

    Data Science

    Product specialist

    Zomentum

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    Business Reporting Analyst

    EXL

  • link icon

    Abhishek Pal

    linkedin icon

    Data Science

    Manager - Analytics and Market Research

    Silvermine Group

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    Senior Analytics Advisor

    EY

Data Science Course Faculty

Learn from the vast knowledge of top faculty in the field of Data Science.

Munther Dahleh

Munther Dahleh

MIT

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

Munther Dahleh

Munther Dahleh

Diretor do Corpo Docente do Programa do MIT Institute for Data, Systems, and Society (IDSS)

Devavrat Shah

Devavrat Shah

MIT

Professor, EECS and IDSS, MIT

Ali Masri

Ali Masri

Lead Data Engineer

Hassan Saidinejad

Hassan Saidinejad

Data Scientist

John N.  Tsitsiklis

John N. Tsitsiklis

Professor Clarence J. Lebel do Dept. of Electrical Engineering & Computer Science (EECS) no MIT

John N. Tsitsiklis

John N. Tsitsiklis

MIT

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

Caroline Uhler

Caroline Uhler

Henry L. & Grace Doherty Associate Professor, EECS and IDSS, MIT

Ankur Moitra

Ankur Moitra

Professor Associado de Desenvolvimento Profissional na Rockwell International, de Matemática e do MIT IDSS

Sam Rahbar

Sam Rahbar

Senior AI Scientist

Dr. Sutharsha Rajasegarar

Dr. Sutharsha Rajasegarar

Senior Lecturer in Computer Science Course Director Master of Data Science

Ankur Moitra

Ankur Moitra

Rockwell International Career Development Associate Professor, Mathematics and IDSS, MIT

Caroline  Uhler

Caroline Uhler

Professora Associada na Henry L. & Grace Doherty, do EECS e MIT IDSS

Denver Dias

Denver Dias

Senior Data Science Consultant

David  Gamarnik

David Gamarnik

Professor de Pesquisa Operacional na Nanyang Technological University, da Sloan School of Management e do MIT IDSS

Stefanie Jegelka

Stefanie Jegelka

MIT

X-Consortium Career Development Associate Professor, EECS and IDSS, MIT

David Gamarnik

David Gamarnik

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

Udit Mehrotra

Udit Mehrotra

Data Scientist

Dr. Bappaditya Mukhopadhyay

Dr. Bappaditya Mukhopadhyay

Ph.D (Indian Statistical Institute)

Co-Director, Gurgaon, Professor - Analytics & Statistics, Great Lakes Institute of Management

Devavrat  Shah

Devavrat Shah

Professor do EECS e MIT IDSS

Dr. Tom Miller

Dr. Tom Miller

Faculty Director

Dr. Ye Zhu

Dr. Ye Zhu

Senior Lecturer, Computer Science

Guy  Bresler

Guy Bresler

Professor Associado do EECS e MIT IDSS

Guy Bresler

Guy Bresler

Associate Professor, EECS and IDSS, MIT

Jonathan Kelner

Jonathan Kelner

Professor, Mathematics, MIT

Jonathan  Kelner

Jonathan Kelner

Professor de Matemática no MIT

Dr. Bahareh Nakisa

Dr. Bahareh Nakisa

Lecturer, Applied Artificial Intelligence

Kalyan  Veeramachaneni

Kalyan Veeramachaneni

Principal Cientista Pesquisador do Laboratory for Information and Decision Systems no MIT

Kalyan Veeramachaneni

Kalyan Veeramachaneni

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

Philippe  Rigollet

Philippe Rigollet

Professor de Matemática e do MIT IDSS

Philippe Rigollet

Philippe Rigollet

Professor, Mathematics and IDSS, MIT

Stefanie  Jegelka

Stefanie Jegelka

Professora Associada de Desenvolvimento Profissional no X-Consortium, do EECS e MIT IDSS

Dr. Asef Nazari

Dr. Asef Nazari

Senior Lecturer in Mathematics for Artificial Intelligence

Tamara  Broderick

Tamara Broderick

Professora Associada do EECS e MIT IDSS

Tamara Broderick

Tamara Broderick

Associate Professor, EECS and IDSS, MIT.

Victor  Chernozhukov

Victor Chernozhukov

Professor de Economia e do MIT IDSS

Gang Li

Gang Li

Associate Professor

Victor Chernozhukov

Victor Chernozhukov

Professor, Economics and IDSS, MIT

Dr. Marek Gagolewski

Dr. Marek Gagolewski

Senior Lecturer, Applied Artificial Intelligence

Maia Angelova Turkedjieva

Maia Angelova Turkedjieva

Professor, Real-World Analytics

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Data Science Course - 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

Analytics Leader, Global Advanced Analytics
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)

Mr. Bradford Tuckfield

Mr. Bradford Tuckfield

Founder and Data Science Consultant
Bradford Tuckfield

Bradford Tuckfield

Founder and Data Science Consultant
Bradford  Tuckfield

Bradford Tuckfield

Fundador e Consultor em Ciência de Dados
Prabhat Bhattarai

Prabhat Bhattarai

Data Scientist
Omar Attia

Omar Attia

Senior Machine Learning Engineer
Vaibhav  Verdhan

Vaibhav Verdhan

Líder de Inteligência Analítica, Inteligência Analítica Avançada Global
Nikhila Kambalapalli

Nikhila Kambalapalli

Consultant, Data Science
Ms. Mayan Murray

Ms. Mayan Murray

Senior Data Scientist and UX Consultant
Mayan  Murray

Mayan Murray

Cientista de Dados Sênior e Consultora de UX
Srihari  Nagarajan

Srihari Nagarajan

Senior Data Scientist
Mr. Vibhor Kaushik

Mr. Vibhor Kaushik

Data Scientist
Selcuk Baran

Selcuk Baran

Research Science Manager
Matt Nickens

Matt Nickens

Manager, Partnership Science
Vibhor  Kaushik

Vibhor Kaushik

Cientista de Dados
Mr. Amit Agarwal

Mr. Amit Agarwal

Senior Data Scientist
Olayinka Fadahunsi

Olayinka Fadahunsi

Head of Data Science and Engineering
Amit  Agarwal

Amit Agarwal

Cientista de Dados Sênior
Fahad Akbar

Fahad Akbar

Senior Manager Data Science
Bridget

Bridget

Senior Machine Learning Engineer
Mr. Kemal Yilmaz

Mr. Kemal Yilmaz

Senior Data Scientist
Udit Mehrotra

Udit Mehrotra

Data Science Specialist
Kemal  Yilmaz

Kemal Yilmaz

Cientista de Dados Sênior
Anis Sharafoddini

Anis Sharafoddini

Data Scientist Lead
Ms. Xiaojun Su

Ms. Xiaojun Su

Data Science Product Manager
Shannon Schlueter

Shannon Schlueter

Director of Data Science
Avinash Ramyead

Avinash Ramyead

Senior Quantitative UX Researcher / Data Scientist / Behavioral Scientist / in Video ML
Xiaojun  Su

Xiaojun Su

Gerente de Produtos de Ciência de Dados
Mr. Juan Castillo

Mr. Juan Castillo

Machine Learning Engineer
Mr. Andrew Marlatt

Mr. Andrew Marlatt

Data Scientist - Revenue Expansion
Juan  Castillo

Juan Castillo

Engenheiro de Machine Learning
Tara Ann Thomas

Tara Ann Thomas

Senior Analyst Data Scientist
Edward Krueger

Edward Krueger

Principal Data Scientist and Proprietor
Andrew  Marlatt

Andrew Marlatt

Cientista de Dados, Expansão de Receita
Mr. Rohit Dixit

Mr. Rohit Dixit

Senior Data Scientist
Lee Tanenbaum

Lee Tanenbaum

Global Director of Data Science and Analytics
Paolo Esquivel

Paolo Esquivel

Senior Data Scientist
Rohit  Dixit

Rohit Dixit

Cientista de Dados Sênior
Michael Keith

Michael Keith

Analytics Manager
Mr. Srikanth Pyaraka

Mr. Srikanth Pyaraka

Data Science Product Manager
Kalle Bylin

Kalle Bylin

Product Engineer
Mohit Jain

Mohit Jain

Principal Data Scientist
Mr. Angel Das

Mr. Angel Das

Data Science Consultant
Srikanth  Pyaraka

Srikanth Pyaraka

Gerente de Produtos de Ciência de Dados
Angel Das

Angel Das

Consultor em Ciência de Dados
Mustafa Shaikh

Mustafa Shaikh

Senior Data Scientist
Marco De Virgilis

Marco De Virgilis

Actuarial Data Scientist Manager
Mr. Shirish Gupta

Mr. Shirish Gupta

Lead Data Scientist
Shirish  Gupta

Shirish Gupta

Cientista de Dados Principal
Mr. Vanessa Afolabi

Mr. Vanessa Afolabi

Senior Data Scientist
Andrew Marlatt

Andrew Marlatt

Data Scientist - Revenue Expansion
Vanessa  Afolabi

Vanessa Afolabi

Cientista de Dados Sênior
Rohit Dixit

Rohit Dixit

Senior Data Scientist
Mr. Thinesh Pathmanathan

Mr. Thinesh Pathmanathan

Data Scientist
Thinesh  Pathmanathan

Thinesh Pathmanathan

Cientista de Dados
Nitin Ranjan Sharma

Nitin Ranjan Sharma

Data Scientist
Nikhar Shah

Nikhar Shah

Senior Data Scientist
Mr. Grivine Ochieng

Mr. Grivine Ochieng

Lead Data Engineer
Grivine  Ochieng

Grivine Ochieng

Engenheiro de Dados Principal
Animesh Gupta

Animesh Gupta

Data Scientist
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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
    Learn more
  • 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.
    Learn more
  • 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.
    Learn more
  • 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.
    Learn more
  • 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.
    Learn more
  • 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.
    Learn more
  • 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
    Learn more
  • 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.
    Learn more
  • 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.
    Learn more
  • 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.
    Learn more
  • Banking

    Loan Customer Identification

    Identify potential loan customers for a bank using classification techniques and compare models to select the best performing one.
    Learn more
  • 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.
    Learn more
  • HR

    CEO Compensation

    Examine the linkage between CEO compensation and company performance using the tools of descriptive and inferential statistics.
    Learn more
  • 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.
    Learn more
  • 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.
    Learn more
  • 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.
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User Testimonials of our Data Science Courses

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

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    Kelechi Enyioha

    Post Graduate Program in Data Science and Business Analytics

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    Brooks Christensen

    MIT Professional Education's Applied Data Science Program

  • user image

    Mohammed Majdy

    Post Graduate Program in Data Science and Business Analytics

  • user image

    Perci Olarte

    Post Graduate Program in Data Science and Business Analytics

  • user image

    Flor de María Gómez Esparza

    Post Graduate Program in Data Science and Business Analytics

  • user image

    Leanne Da Cerca

    Post Graduate Program in Data Science and Business Analytics

  • user image

    Monica Suarez

    Post Graduate Program in Data Science and Business Analytics

Data Science Webinars

Learn from leading experts in Data Science with our webinars. Gain insights & strategies to succeed in the field.

Data Science Course Reviews

21 Feb 2023
Batch of July 2021
Thanks to Great Learning for making my journey from a non-coding Mechanical Engineer to the Machine Learning field possible. I'm happy to share that I have been placed at DhiOmics Analytics as an ML Scientist. Through the program, I gained a lot of knowledge about Python, NumPy, Pandas, SQL, Tableau, ML models and more. I felt very engaged with the modules, assignments, Capstone Project and quizzes. The experience was very interactive, lively, easily understandable and well-structured. The teachers were very professional in their delivery and offered continuous support from the beginning to the end.

Program : Post Graduate Program in Data Science and Engineering - Online

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21 Feb 2023
Batch of February 2021
Back in 2020, I was working in a reputed organisation. However, I lost my job shortly owing to the massive layoffs that were happening due to the pandemic. There were not many openings suitable for my role in any organization and I was under the stress of finding a new job. One day my father-in-law suggested that I make a career change and shift to Data Science as it was an upcoming and in-demand domain. He suggested a course by Great Learning. I gave some thought to it and decided, instead of wasting my time let's upgrade my skill set by learning something new. I started this course with a ray of hope that it will open some new opportunities for me but also there was fear at the back of my mind that I am investing money in this, and what if it doesn't work? But as the course began in September 2020, the syllabus was designed in such a manner that even a non-coder like me could easily grasp the concept and implement it. The different modules, assignments, quizzes, and projects all helped me a lot. Today, with great joy, I would like to inform you that I have managed to make a move into the Data Analytics domain. This transition happened when I managed to crack an interview with a very well-known organisation which is one of the Big 4 companies (Ernst & Young). It's been a little over a month since I stepped into this new role. I would like to thank the entire Great Learning team and also my family for their support.

Program : Post Graduate Program in Data Science and Business Analytics

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10 Aug 2023
Batch of August 2022
My overall experience was very good. With all the right skills and right attitude that I gained from Great Learning, I am ready to start my new career. The career support team here at Great Learning is excellent. They have helped us right from aptitude classes, guesstimates, resume building, and upgrading LinkedIn profiles to one on one sessions. They were always just a phone call away.

Program : Data Analytics Program

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10 Aug 2023
Batch of October 2020
Great Learning helped me land my first-ever job. I would like to thank their placement team for guiding me on how to face interviews and what key skills I need to build. Finally, I was able to crack an interview with Tesco.

Program : MTech - Data Science and Machine Learning

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10 Aug 2023
Batch of August 2022
The program helped me successfully transition to the IT domain. Faculties and mentors guided me in every possible way and built my confidence to face real-world situations. Overall my experience was excellent. I would also like to thank the placement team for helping me prepare for the interviews.

Program : Data Analytics Program

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10 Aug 2023
Batch of February 2021
The program is well-structured and moves at a very comfortable pace. All the faculties are very friendly and provide detailed information on each topic. The assignments at the end of each topic helped us to revise what we learned and apply the knowledge practically. I got an offer from HP as Supply Chain Planning Analyst after attending the Great Learning career fair.

Program : MTech - Data Science and Machine Learning

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21 Feb 2023
Batch of January 2021
One of the main advantages is flexible timings and pre-recorded videos, in my batch. I can revisit or watch again if I have to recall the concepts. Balancing my life and my career as well. Mentor support was useful. I am so grateful for this job but this is the first step. I am learning. Making mistakes is common but learning from that, is your talent . Mindset, Critical Thinking, and constant learning is important in this field. You have to think and feel the data science. It is an art and you are the creator and craft your tools to create a better artist.

Program : Post Graduate Program in Data Science and Business Analytics

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10 Aug 2023
Batch of
The Program Manager was very helpful and responded to all my queries in a timely manner. Great Learning’s career support team helped me with updating my resume and my LinkedIn profile. They also prepared me for interview rounds. Overall, it was a great experience.

Program : Post Graduate Program in Data Science and Business Analytics

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21 Feb 2023
Batch of April 2022
I graduated as a Civil Engineer and worked as a trainee engineer at Potential Project Managers Pvt. Ltd. for one year. I started preparing for Engineering Service exam but was not able to crack it for 2 years. I was introduced to Great Learning's Data Science Program by one of my classmates. It was quite an impressive program. I got a job in DataGrokr, as a Data Engineer. Thank you Great Learning, for providing wonderful training and support for my career transition.

Program : Post Graduate Program in Data Science and Engineering

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21 Feb 2023
Batch of August 2023
I'm happy to inform you that I've been placed as a Data Analyst at K12 Techno Services Pvt. Ltd. I would like to thank my Program Managers for all the support and confidence they've given me since day 1. I dedicate this new job opportunity and who I am as a professional now to the faculty members. Anyone can teach you SQL, Python, or anything you need - but it takes a special person to motivate you to be your best. The professors gave me all the confidence and help I needed to clear the interviews.

Program : Data Analytics Program

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Data Science Course FAQs

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 essential 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.

What is the course fee for Data Science programs at Great Learning?

Like the course duration, the fee structure also varies from one program to another depending on the curriculum, institute, and so on.

View all Data Science courses for the fee structure.

What is the duration of the best Data Science programs?

The duration of Data Science programs at Great Learning varies from one program to another depending on the curriculum, institute, and so on. They range from 10 weeks to 6 months.

View all Data Science programs for the course duration.

Who would be the faculty teaching these online Data Science courses?

World-class, renowned academicians from the respective institutions would teach the online Data Science courses.

What are some of the best Data Science courses for students and working professionals?

All the Data Science programs from Great Learning are preferable for working professionals.

However, for students, we have designed the Post Graduate Program in Data Science and Business Analytics, where students learn the foundational skills of Data Science and Analytics. The curriculum covers Python programming language, Data Visualization, Data Analysis, Machine Learning techniques, Business Analytics skills, and much more.

How are the reviews of Data Science courses from Great Learning?

All our courses are top-class, acknowledged by several business leaders and top magazines. Most of our learners have accomplished successful career transitions into Data Scientist or Data Analyst roles.

Check out our learners’ testimonials who have completed our online Data Science courses.

Why should I opt for the online Data Science courses from Great Learning?

Great Learning and some of the world’s most reputed institutes have collaborated to offer learners the best Data Science programs in the industry, enabling them to gain a good understanding of it.

These Data Science programs offer numerous benefits, such as:

  • Customized Learning Journey
  • Hands-on Experiential Learning with Real-World Projects
  • Dedicated Program and Career Support
  • Result-Oriented Curriculum
  • Cohort-Based Pedagogy
  • Learning Analytics
  • First-Class Faculty and Mentors

Numerous other benefits are offered by Great Learning. Check out our Data Science courses for in-depth information.

What certifications will I receive after completing the online Data Science course?

You will receive certifications from the respective institutes, depending on your chosen course, such as UT Austin for Data Science and Business Analytics, MIT PE for Applied Data Science Program, etc.

What are some of the best Data Science courses available in the market?

Some of the best online Data Science courses available in the market are offered by Great Learning, in collaboration with some of the world’s renowned institutes. The programs are as follows:

  • Data Science and Business Analytics - The University of Texas at Austin
  • Applied Data Science Program - MIT Professional Education
  • Practical Decision Making using Data Science - National University of Singapore
  • Data Science and Machine Learning: Making Data-Driven Decisions - MIT IDSS

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:

 

What is the demand for data science jobs in 2024?


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.

Can a commerce graduate become a Data Scientist?

Yes, absolutely! A commerce graduate has great skill sets to become a data scientist. Data science is all about analyzing data and finding insights that can help improve business decisions. And what better background to have for this than a commerce degree?

 

Commerce graduates already understand the importance of making accurate and informed business decisions. They just need to master the tools and techniques of Data Science to become a professional Data Scientist. They can enroll in any Data Science course and further their careers in this cutting-edge domain.