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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 Syllabus (Curriculum)

Data Science Course Fees

Data Science Courses Faculty

Data Science Course Subjects

Universities Offering Data Science Courses

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:

 

 

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 Course Fees
Data Science Course Fees

For the fees for the data science courses, please visit specific program pages (for details)

Fees*

PGP - Data Science and Business Analytics

PGP - Data Science and Engineering (PGP-DSE)

PGP in Data Science and Engineering (Bootcamp)

MIT - Data Science and Machine Learning Program

Master’s in Data Science

Master of Data Science (Global)

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

Data Analytics Program - Great Learning Career Academy

Executive MBA (PES University)- Business Analytics Specialization

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

 

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.

Universities Offering Data Science Courses
Universities Offering Data Science Courses

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: 12 months

Outside India: 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

Master of Science in Business Analytics (Eller College of Management)

2 years

Executive MBA (PES University)

2.5 years

MS Data Analytics (Walsh College)

2 years

M. Sc. in Big Data and Business Analytics (FOM International University)

24 months

 

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

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. 

Program Name

Learning Mode

Focus Area

MIT Data Science and Machine Learning Program

Online

Data Science & Machine Learning

MIT Applied Data Science Program

Online

Applied Data Science

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

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

In collaboration with Great Learning, the University of Texas at Austin offers a range of comprehensive online data science certificate courses. These programs are designed for professionals and are tailored to accelerate your professional growth. Depending on the program format, these programs provide a data science certificate online and offline. 

Program Name

Learning Mode

Focus Area

PG Program in Data Science and Business Analytics

Online

Data Science & Business Analytics

Data Analytics Essentials

Online

Data Analytics


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

The program is best suited for:
 

  • Freshers are early career professionals.

  • Aspiring data science professionals

  • Executives wanting to expand their knowledge and expertise in the data science domain.

  • Experienced professionals who want to stay competitive in the ever-evolving technology industry.

  • Professionals and managers without technical background.

PGP - Data Science and Engineering (PGP-DSE)

  • Applicants should have 60% or above in X, XII and a bachelor’s degree. 

  • The program is open for candidates in their final semester and recent graduates with 0-3 years of experience.

  • Ideal for candidates with graduation in a quantitative discipline like engineering, mathematics, commerce, science, statistics, economics, etc. 

PGP in Data Science and Engineering (Bootcamp)

  • Applicants should have 60% or above in X, XII and a bachelor’s degree. 

  • The program is open for candidates in their final semester and recent graduates with 0-3 years of experience.

  • Ideal for candidates with graduation in a quantitative discipline like engineering, mathematics, commerce, science, statistics, economics, etc.

Data Science and Machine Learning Program

This program is for:
 

  • Data Scientists, Data Analysts, and working professionals who wish to extract actionable insights from large volumes of data. 

  • Early career professional and senior managers.

  • For those who have some academic/professional training in applied mathematics/statistics. 

Master’s in Data Science

  • Students should have completed a 4 year U.S. bachelor’s degree or equivalent.
    For students who did not complete their degree in the U.S.: If your transcript evaluation states that your degree is equivalent to a 4 year U.S. bachelor degree then you can apply for this programme.

  • If the student completed their bachelor degree in the U.S.: If you have a 4 year bachelor’s degree then you can apply.

Applied Data Science Program - (International Program)

This program is for

 
  • Professionals interested in Data Science and machine learning careers.

  • Professionals interested in leading Data Science and machine learning initiatives in their companies.

  • Entrepreneurs interested in innovation using Data Science and Machine Learning. 

Data Analytics Essentials - (International Program)

The program is for

  • Recent graduates and early career professionals looking to acquire job-ready skills in the fields of business intelligence and data analytics can enroll in this course. The course trains and prepares students for a job role as a business analyst or data analyst.

  • Candidates who are looking to enter the world of data and leverage it to make analytical decisions across several industries.

  • Candidates who want to develop the fundamentals of data analysis over a condensed timeframe with a realistic resource investment.

Master of Data Science (Global)

  • Applicants must hold a bachelor's degree (minimum 3-year program) in a related field or a bachelor's degree in any discipline with at least 2 years of professional work experience.

  •  
  • The applicants must meet Deakin University’s minimal English language requirement.

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

  • Applicants must possess a Degree in B.E/B.Tech/M.Sc (Mathematics)/MCA from a recognized institution or university.

  • They must have secured at least 50% in their pursued degrees.

  • By the commencement of the program, applicants must have completed a minimum of 24 months of work experience.

Data Analytics Program - Great Learning Career Academy

Any graduate with a minimum 60% score passed out in 2019 or after is eligible to apply for this program

Master of Science in Business Analytics (Eller College of Management)

The program is for:
 

  • Young early career professionals looking to go abroad and master data-driven decision making for the business.

  • Mid and senior-level professionals who are looking to go abroad and stay up to date with the latest business analytics skills needed for success in the digital world. 

  • Professionals who wish to transition to a Business Analytics career with industry-ready skills and knowledge. 

MS Data Analytics (Walsh College)

 

  • Applicants must hold a 3 or 4-year bachelor’s degree or equivalent in any discipline with a minimum of 60% marks from a UGC-recognized university or institution. The medium of instruction must be in English.

  • No GRE/GMAT or any English proficiency test scores are required.

Note: Candidates should score a minimum of 2.75 GPA in the 1st year to be eligible for 2nd year on campus at Walsh College.

M. Sc. in Big Data and Business Analytics (FOM International University)

 

  • Candidates with either a B.Tech (Any Stream), B.E (Any Stream), BCA, B.Sc. IT, B.Sc. Maths or Stats are eligible to apply for this programme.

  • No work experience is required.

  • English proficiency test [IELTS/TOEFL/PTE score is required].

Note: Please speak with your learning consultant for more details. Great Learning provides English proficiency test preparation service at no additional cost.

Executive MBA (PES University)

  • The eligibility criteria for PES University’s Executive MBA for working professionals is a Bachelor’s degree in any discipline with a minimum of 50% aggregate marks in graduation. 

  • For admission to PES MBA, a candidate should have work experience of a minimum of 24 months by the commencement of the program.


*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

    link icon

    Kamini Sahu

    linkedin icon

    Data Science

    Business Development Executive

    Dynamo Consulting Services Limited

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    Associate Business Analyst

    Cotiviti

    Cotiviti
  • link icon

    Sneha Jaiswal

    linkedin icon

    Data Science

    Teacher Partner

    Cuemath

    arrow

    Data Processing Analyst

    NielsenIQ

    NielsenIQ
  • link icon

    Abdul Rauf Mohammad

    linkedin icon

    Data Science

    Product Owner

    JPMorgan Chase & Co.

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    Vice President

    Wells Fargo

  • hike icon192% hike

    link icon

    Rajat Dekate

    linkedin icon

    Data Science

    Entrepreneur

    MMKR POLYPLAST PVT. LTD.

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    Associate Business Analyst

    Cotiviti

    Cotiviti
  • link icon

    Dhivya Karthic

    linkedin icon

    Data Science

    Education Program Manager

    IIT Madras | IIM Bangalore

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    Analyst

    Deloitte Consulting

  • hike icon131% hike

    link icon

    Rishi Tiwari

    linkedin icon

    Data Science

    Assistant Manager

    Zerodha Broking Limited

    arrow

    Data Analyst

    Reliance Retail

    Reliance Retail
  • hike icon92% hike

    link icon

    Siddharth Shinde

    linkedin icon

    Data Science

    Process Associate

    Genpact

    arrow

    Data Analyst

    Dell

  • hike icon133% hike

    link icon

    Ajit Muthunarayanan S

    linkedin icon

    Data Science

    Digital content associate

    Amazon

    arrow

    Business Analyst

    HCL

    HCL
  • hike icon74% hike

    link icon

    Ajay Devdas Pananchikal

    linkedin icon

    Data Science

    DATABASE ADMINISTRATOR

    Larsen And Toubro Infotech

    arrow

    Product Analyst

    Big Basket

    Big Basket
  • hike icon125% hike

    link icon

    Ann Maria John

    linkedin icon

    Data Science

    Drug Safety Associate

    IQVIA RDS (India) Private Limited

    arrow

    Business Analyst

    Genpact

  • hike icon87% hike

    link icon

    Akansha Pruthi

    linkedin icon

    Data Science

    Process Associate

    Genpact

    arrow

    Research Analyst

    Indegene

  • link icon

    Aditya Sabbisetti

    linkedin icon

    Data Science

    Data Analyst

    Makemytrip

    arrow

    Data Analyst

    Walt Disney

    Walt Disney
  • hike icon35% hike

    link icon

    Akash Sah

    linkedin icon

    Data Science

    Senior System Engineer

    Infosys

    arrow

    Associate Consultant

    EY India

  • hike icon33% hike

    link icon

    Amulya Manne

    linkedin icon

    Data Science

    SPS Associate - SME

    Amazon.com

    arrow

    Data Analyst

    Myntra

    Myntra
  • hike icon83% hike

    link icon

    Akshaya N

    linkedin icon

    Data Science

    Product specialist

    Zomentum

    arrow

    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

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, Ford Motor Company

Munther Dahleh

Munther Dahleh

MIT

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

Ryley Bauer

Ryley Bauer

Chief Automation Officer -
Bauer Automate

Hassan Saidinejad

Hassan Saidinejad

Data Scientist

John N. Tsitsiklis

John N. Tsitsiklis

MIT

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

Hossein Kalbasi

Hossein Kalbasi

Senior Data Scientist,Mercator AI

John N.  Tsitsiklis

John N. Tsitsiklis

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

Ankur Moitra

Ankur Moitra

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

Dr. Sutharshan Rajasegarar

Dr. Sutharshan Rajasegarar

Senior Lecturer in Computer Science Course Director Master of Data Science

Caroline Uhler

Caroline Uhler

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

Ankur Moitra

Ankur Moitra

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

Sam Rahbar

Sam Rahbar

Senior AI Scientist

Saman Rahbar

Saman Rahbar

Senior AI Scientist -
Global Relay

Saurabh Kango

Saurabh Kango

Linkedin insights -
Program Manager

Denver Dias

Denver Dias

Senior Data Science Consultant

Caroline  Uhler

Caroline Uhler

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

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

Jitendra Gopaluni

Jitendra Gopaluni

Data Solutions Architect,Veterans United Home Loans

Udit Mehrotra

Udit Mehrotra

Data Scientist

David Gamarnik

David Gamarnik

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

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

Associate Professor, EECS and IDSS, MIT

Guy  Bresler

Guy Bresler

Professor Associado do EECS e MIT IDSS

Jonathan  Kelner

Jonathan Kelner

Professor de Matemática no MIT

Jonathan Kelner

Jonathan Kelner

Professor, Mathematics, MIT

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.

Dr. Bahareh Nakisa

Dr. Bahareh Nakisa

Senior Lecturer, Applied Artificial Intelligence

Philippe Rigollet

Philippe Rigollet

Professor, Mathematics and IDSS, MIT

Philippe  Rigollet

Philippe Rigollet

Professor de Matemática e do MIT IDSS

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

Victor Chernozhukov

Victor Chernozhukov

Professor, Economics and IDSS, MIT

Gang Li

Gang Li

Professor

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
Nitish Jaipuria

Nitish Jaipuria

Strategist (Data Science)
Weibiao (Wilson) Huang

Weibiao (Wilson) Huang

Analytics Consultant

Boston Consulting Group (Singapore)

Dale Seema

Dale Seema

Data Science Specialist
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.
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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.
    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.
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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.
    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.
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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.
    Learn more
  • 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.
    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.
    Learn more
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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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    Chun Wing Ip

    Data Science and Machine Learning: Making Data-Driven Decisions

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    Kelechi Enyioha

    Post Graduate Program in Data Science and Business Analytics

  • user image

    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

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

24 Jan 2024
Batch of July 2022 | Associate Business Analyst at Landmark | India
I always wanted to be associated with the business side of things, and hence decided to pursue this program for my upskilling journey. I found the curriculum extremely well-structured and focused on real-world applications of Data Science and Business Analytics. My overall experience has been great and I must say that the entire learning process was seamless.

Program : Post Graduate Program in Data Science and Business Analytics

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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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06 Feb 2024
Batch of April 2022 | Quantitative Analyst at FNB - FirstRand | South Africa
The Data Science program is the best. The program content is unique and detailed, giving students the required knowledge and practical projects to give hands-on experience. The program managers and mentors are very supportive. I will recommend this program and any program being offered by Great Learning.

Program : Post Graduate Program in Data Science and Business Analytics

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31 Jan 2024
Batch of May 2022 | CEO at Plexina Inc. | Canada
With 25 years of experience as a technology leader, I took up this program to expand our company's services portfolio with analytics and machine learning capabilities. The program provided quality material and practical case studies, which helped me understand the concepts quickly and build working predictive models. The curriculum was well-organized, and the key takeaways for me were the steps of any Data Science project, how to perform them, identify relevant techniques, assess data quality, construct different kinds of predictive models, tune them, and use industry-standard tools such as Jupyter, DataSpell, and Google Colab.

Program : Applied Data Science Program: Leveraging AI for Effective Decision-Making

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06 Feb 2024
Batch of June 2022 | Microsoft 365 Technical Support Analyst at ActewAGL | Australia
The online classes were easy to navigate and each module had clear goals and expectations. The mentors and faculty members were great and answered all questions promptly. The weekly Zoom classes were a great addition and they helped with the video lectures that you watch during the week. It helped clear up my doubts and it was a great way to interact with instructors and fellow learners.

Program : Post Graduate Program in Data Science and Business Analytics

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06 Feb 2024
Batch of September 2022 | Senior Business Analyst at BAE Systems Australia | Australia
"I thoroughly enjoyed the program. The video lectures were informative and the Mentored Learning Sessions were engaging. The use of current and relevant case studies really helped me understand the concepts. I would highly recommend this program to anyone who is interested in Data Science and Machine Learning. "

Program : Data Science and Machine Learning: Making Data-Driven Decisions

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06 Feb 2024
Batch of September 2022 | Consultant vascular surgeon at Royal Adelaide Hospital | Australia
The program opened my eyes to the world of data science from a medical perspective. It is undoubtedly a powerful technique that can help address the complexity in medicine. The program covered a wide range of topics comprehensively in just three months. The tutors were knowledgeable and always willing to help. My program manager was excellent, and her assistance was invaluable in keeping me motivated throughout the program.

Program : Applied Data Science Program: Leveraging AI for Effective Decision-Making

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31 Jan 2024
Batch of May 2022 | Innovation Initiative Analyst at Health Care Service Corporation | United States
I took up the program to transition into the data science field. Though the program was theory-heavy and lacked hands-on coding sessions, it gave me a good exposure to data science concepts such as exploratory data analysis, machine learning, deep learning, and recommendation systems. As a result, I am now being considered for more data science projects in my current role.

Program : Applied Data Science Program: Leveraging AI for Effective Decision-Making

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28 Feb 2024
Batch of January 2022 | GIS and Remote Sensing Analyst at Tessellations Inc | United States
It had been a great journey with Great Learning. I loved every aspect of the program including the Mentored Sessions, video lectures, weekly quizzes, case studies and the module end projects. Because of this program, I feel comfortable in the field of Machine Learning which was pretty new to me. The primary reason for me to enrol in this program was to add to my current skill set and enhance my scope for career switch and job opportunities. I would like to thank my mentor for her amazing teaching methodology, live examples and troubleshooting. I am also grateful to my Program Manager who has been a wonderful guide and motivator.

Program : Post Graduate Program in Data Science and Business Analytics

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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 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 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.

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.

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.

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.

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 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 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 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.

What are the career options in data science?

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

 

  1. Data Scientist: Responsible for analyzing and interpreting complex data to help inform business decisions.

  2. Data Analyst: Focuses on processing and performing statistical analyses on large datasets.

  3. Machine Learning Engineer: Specializes in designing and implementing machine learning techniques, models and systems.

  4. Data Engineer: Focuses on the preparation of 'big data' for analytical or operational uses.

  5. Business Intelligence (BI) Analyst: Uses data to help organizations make better business decisions.

  6. Data Science Manager/Lead: Ensures meeting organizational goals with various data science teams and projects.

  7. Research Scientist: Engages in data-driven research, often in academic, government, or corporate settings.

  8. Statistician: Applies statistical methods to collect, analyze, and interpret data to solve real-world problems in business, engineering, healthcare, or other fields.