Best Data Science Online Courses & Training 2023 [with JobAssist*]

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

Data Science Courses Universities

Data Science Course with Placements

Data Science Course Duration

Data Science Course Eligibility

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:

PGP - Data Science and Business Analytics
PGP - Data Science and Engineering (PGP-DSE)
Data Science and Machine Learning: Making Data-Driven Decisions
Master’s in Data Science
Practical Decision-Making Using Data Science
Applied Data Science Program - (International Program)
Data Analytics Essentials - (International Program)
Master of Data Science (Global)
MBA Degree Program (Shiv Nadar University, Delhi NCR)

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!

The Best Course for Data Science

Great Learning’s most popular Data Science courses include a Master’s Degree in Data Science, a PG Certificate in Data Science, a Professional Certificate, or taking Bootcamp courses in Data Science. It really depends on what you are looking for and what you hope to gain from pursuing Data Science. Below is the list of Data Science courses offered by Great Learning:

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

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
Practical Decision-Making Using Data Science	USD 2200
Applied Data Science Program	USD 3900
Data Analytics Essentials	USD 2200
Master of Data Science (Global)	USD 7500
M.Tech in Data Science and Machine Learning (PES University)	₹ 5,90,000 + GST
Data Analytics Program - Great Learning Career Academy	₹ 1,50,000 + GST
MBA Degree Program (Shiv Nadar University, Delhi NCR)	₹ 4,00,000
Executive MBA (PES University)	₹ 5,50,000 + GST

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

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

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

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:

Massachusetts Institute of Technology - Institute for Data, Systems, and Society (MIT IDSS)
The University of Texas at Austin (UT Austin) McCombs School of Business
Northwestern University School of Professional Studies
Deakin University
Great Lakes Executive Learning
National University of Singapore Business School
Shiv Nadar University, Delhi NCR
PES University

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

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

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
Practical Decision-Making Using Data Science	6 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

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
Practical Decision-Making Using Data Science	Working Professionals with 3+ years of experience
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.

Our Faculty

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

Prof. Dan Mitchell

Phd (University of Maryland)

Clinical Assistant Professor

Munther Dahleh

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

Devavrat Shah

MIT

Professor, EECS and IDSS, MIT

Dr. Dan Mitchell

Assistant Professor, McCombs School of Business

Munther Dahleh

MIT

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

Dr. Kumar Muthuraman

PHD (Stanford University)

Faculty Director, Centre for Research and Analytics

Professor Jussi Keppo

Associate Professor and Dean's Chair
Research Director, Institute of Operations Research and Analytics
Department of Analytics & Operations, NUS Business School
National University of Singapore

John N. Tsitsiklis

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

John N. Tsitsiklis

MIT

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

Dr. Tan Hong Ming

Lecturer and Research Fellow
Department of Analytics and Operations, NUS Business School,
Institute of Operations Research and Analytics National University of Singapore

Ankur Moitra

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

Dr. Abhinanda Sarkar

Ph.D. from Stanford University

Faculty Director, Great Learning

Caroline Uhler

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

Vivekanand R

Industry Expert in Visualization

Ankur Moitra

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

Caroline Uhler

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

Denver Dias

Senior Data Science Consultant

Prof. Raghavshyam Ramamurthy

MBA (Whitman School of Management)

Industry Expert in Visualization

David Gamarnik

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

Stefanie Jegelka

MIT

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

Udit Mehrotra

Data Scientist

David Gamarnik

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

Mr. R Vivekanand

MBA (Monash University)

Operations Director

Devavrat Shah

Professor do EECS e MIT IDSS

Dr. Tom Miller

Faculty Director

Dr. Srabashi Basu

PHD (Penn State University)

Professor, Business Analytics

Dr. D Narayana

PHD (Pierre & Marie Curie University, Paris)

Professor, Artificial Intelligence and Machine Learning, Great Learning

Guy Bresler

Professor Associado do EECS e MIT IDSS

Guy Bresler

Associate Professor, EECS and IDSS, MIT

Jonathan Kelner

Professor de Matemática no MIT

Jonathan Kelner

Professor, Mathematics, MIT

Kalyan Veeramachaneni

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

Kalyan Veeramachaneni

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

Philippe Rigollet

Professor de Matemática e do MIT IDSS

Philippe Rigollet

Professor, Mathematics and IDSS, MIT

Stefanie Jegelka

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

Tamara Broderick

Professora Associada do EECS e MIT IDSS

Tamara Broderick

Associate Professor, EECS and IDSS, MIT.

Victor Chernozhukov

Professor de Economia e do MIT IDSS

Victor Chernozhukov

Professor, Economics and IDSS, MIT

Our Industry Mentors

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

Serdar Cellat

Principal Data Scientist

Liberty Mutual Insurance (USA)

Nitish Jaipuria

Strategist (Data Science)

Google (Singapore)

Weibiao (Wilson) Huang

Analytics Consultant

Boston Consulting Group (Singapore)

Dale Seema

Data Science Specialist

FNB South Africa

Amit Jain

Deputy Manager - Business Analytics & Business Intelligence

Keppel Corporation Limited (Singapore)

Vaibhav Verdhan

Analytics Leader, Global Advanced Analytics

Phumzile Phantsi

Data Scientist

ABSA Group (South Africa)

Adaikalavan Ramasamy

Senior Research Scientist

Genome Institute of Singapore (GIS)

Wole Ogungbesan

Director - Advance Analytics & Automation

UBS (United Kingdom)

Bradford Tuckfield

Founder and Data Science Consultant

Bradford Tuckfield

Fundador e Consultor em Ciência de Dados

Mr. Bradford Tuckfield

Founder and Data Science Consultant

Prabhat Bhattarai

Data Scientist

Omar Attia

Senior Machine Learning Engineer

Vaibhav Verdhan

Líder de Inteligência Analítica, Inteligência Analítica Avançada Global

Ms. Mayan Murray

Senior Data Scientist and UX Consultant

Nikhila Kambalapalli

Consultant, Data Science

Selcuk Baran

Research Science Manager

Mayan Murray

Cientista de Dados Sênior e Consultora de UX

Mr. Vibhor Kaushik

Data Scientist

Srihari Nagarajan

Senior Data Scientist

Matt Nickens

Manager, Partnership Science

Vibhor Kaushik

Cientista de Dados

Mr. Amit Agarwal

Senior Data Scientist

Olayinka Fadahunsi

Head of Data Science and Engineering

Fahad Akbar

Co-Founder & Core Contributor

Amit Agarwal

Cientista de Dados Sênior

Mr. Kemal Yilmaz

Senior Data Scientist

Bridget

Senior Machine Learning Engineer

Udit Mehrotra

Senior Data Scientist, WNS

Kemal Yilmaz

Cientista de Dados Sênior

Ms. Xiaojun Su

Data Science Product Manager

Anis Sharafoddini

Data Scientist Lead

Shannon Schlueter

Co-Founder, CTO and Data Scientist

Xiaojun Su

Gerente de Produtos de Ciência de Dados

Mr. Juan Castillo

Machine Learning Engineer

Avinash Ramyead

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

Tara Ann Thomas

Senior Analyst Data Scientist

Juan Castillo

Engenheiro de Machine Learning

Mr. Andrew Marlatt

Data Scientist - Revenue Expansion

Edward Krueger

Principal Data Scientist and Proprietor

Lee Tanenbaum

Global Director of Data Science and Analytics

Andrew Marlatt

Cientista de Dados, Expansão de Receita

Mr. Rohit Dixit

Senior Data Scientist

Paolo Esquivel

Senior Data Scientist

Rohit Dixit

Cientista de Dados Sênior

Mr. Srikanth Pyaraka

Data Science Product Manager

Kalle Bylin

Product Engineer

Michael Keith

Analytics Manager

Mohit Jain

Principal Data Scientist

Engenheiro de Dados Principal

Nitin Ranjan Sharma

Data Scientist

Animesh Gupta

Data Scientist

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.
Learn more

User testimonials of Data Science Programs

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

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

Leanne Da Cerca

Senior Group Manager, Johannesburg, South Africa

Program : PG Program in Data Science and Business Analytics

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

Moeti Manoto

Service Manager, Openserve (South Africa)

Program : PG Program in Data Science and Business Analytics

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

Seun Lawal Anako

Senior Manager, Business Compliance, America Tower Company, Nigeria

Program : PG Program in Data Science and Business Analytics

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

Fermar B Talosig

Senior Associate Engineer

Program : PG Program in Data Science and Business Analytics

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

Salim Khan

Planning and Performance Manager

Program : PG Program in Data Science and Business Analytics

Explore this Program

Data Science Webinars

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

UPCOMING

Applied data science: Studying COVID vaccine efficacy

21 June 2023 | 11:00AM CDT

Juan Castillo

Senior Machine Learning Engineer, Andium

REGISTER NOW

UPCOMING

[Masterclass] Transitioning into a data science career from any industry

20 June 2023 | 11:00AM CDT

Kris Ghmire

Data Scientist, Banner Health

REGISTER NOW

UPCOMING

Introduction to Generative AI and what it means to the world of NLP

17 June 2023 | 08:00AM CDT

REGISTER NOW

UPCOMING

Data Value Chain #2 - The cloud around 'Cloud'

24 June 2023 | 08:00AM CDT

REGISTER NOW

Learner Reviews for our Data Science Programs

Rakesh Sewlall Aga (Sa)

03 Apr 2023

Batch of March 2023 | South Africa

The mentor went through the content clearly and at a good pace. He also instilled confidence for persons who have never done programming before. He was willing to re-explain and ensure all persons had an understanding or can grasp the concepts.

Program : PG Program in Data Science and Business Analytics

See all Reviews of this program arrow icon

Heather Silston

13 Jan 2023

Batch of November 2022 | Puerto Rico

Very impressed at how Prof Shah is able to breakdown complex concepts and make it understandable to those with little or no mathematical background.

Program : Applied Data Science Program

See all Reviews of this program arrow icon

Audrey Fisher

02 Apr 2023

Batch of November 2022 | United States

The mentor was terrific at asking the students questions and opening up to questions from the students. He also presented extra aspects about relationships between concepts we had learned, relationships that I hadn't picked up on in the videos. Really appreciated that! I was able to follow the code presented better than in other situations.

Program : PG Program in Data Science and Business Analytics

See all Reviews of this program arrow icon

Sowrin Vora

02 Apr 2023

Batch of March 2023 | Australia

The mentor was very well in undertaking the session, good kick-off with introductions, and then on content, he covered the topics in a well-structured manner taking the right pauses in between to allow people to ask questions and clear any doubts. Looking forward to more such sessions. :) Great work team!

Program : PG Program in Data Science and Business Analytics

See all Reviews of this program arrow icon

Jacqueline Persha

03 Jan 2023

Batch of November 2022 | United States

The prof. Jegelka is extremely intelligent, I appreciate classes with her, Thank you!

Program : Applied Data Science Program

See all Reviews of this program arrow icon

Ravilla Mounica

22 Aug 2021

Batch of August 2021 | India

Very clear explanation of concepts, case studies. The hands on exercise was very helpful to get a clear understanding on all plots.

Program : MIT Data Science and Machine Learning Program

See all Reviews of this program arrow icon

Lyda G Franco

02 Apr 2023

Batch of January 2023 | United States

As the modules go by I think we all see a little more of a relationship between what we learn and the practice, The mentor is very good at that, he always tries to solve our doubts and his way of teaching graphs makes everything a little more understandable. Thanks!

Program : PG Program in Data Science and Business Analytics

See all Reviews of this program arrow icon

Alan Lin

10 Jan 2023

Batch of September 2022 | United States

Thank you so much to the GL team and MIT professors for all your support in these past 3 months. I learned so much and I feel reborn as a new person.

Program : Applied Data Science Program

See all Reviews of this program arrow icon

Senthil Subramaniam

02 Apr 2023

Batch of December 2022 | United States

The mentor has very good knowledge of the industrial practice. He touched on all the key points in the project and didn't leave us with doubts. Before the session, I wrote down a few questions to ask, but the mentor covered those questions before QandA. I was only left with one question in the end.

Program : PG Program in Data Science and Business Analytics

See all Reviews of this program arrow icon

Patti Jelinek

18 Mar 2023

Batch of January 2023 | United States

The best review of material. Answered every question and reviewed all the material. Very clear delivery and explanation of concepts with practical experience injected.

Program : Applied Data Science Program

See all Reviews of this program arrow icon

Frequently Asked Questions

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 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 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.

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 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.

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 salary of a data scientist fresher across the world?

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

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

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

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.

Data Science Blogs

Read Great Learning's blogs on Data Science to deepen your understanding of diverse aspects of Data Science. Acquire knowledge on Data Science and become a data science professional that produces better insights.

Top 10 Business Analyst Career Paths in 2023

Learn More >

Top 10 Free Data Science courses in 2023

Learn More >

Top 9 Job Roles in the World of Data Science for 2023

Learn More >

100+ Data Science Interview Questions in 2023

Learn More >

Top 6 Data Science Projects To Get You Hired in 2023

Learn More >

How to Get Into Data Science From a Non-Technical Background?

Learn More >

Top Data Scientist Skills You Must Have In 2023

Learn More >

R vs Python for Data Science

Learn More >

Learning Data Science with K-Means Clustering - Machine Learning

Learn More >

How Data Science Solves Real Business Problems

Learn More >

See All

Data Science Courses

Explore Data Science Courses

Data Science Certificate Courses

PG Program in Data Science and Business Analytics

Applied Data Science Program

MIT Data Science and Machine Learning Program

Practical Decision Making Using Data Science

Data Analytics Essentials

Data Science Degree Courses

MS in Data Science Programme

Master of Data Science (Global) Program

Form submitted successfully

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

Data Science Courses Universities

Data Science Course with Placements

Data Science Course Duration

Data Science Course Eligibility

Our Faculty

Prof. Dan Mitchell

Munther Dahleh

Devavrat Shah

Dr. Dan Mitchell

Munther Dahleh

Dr. Kumar Muthuraman

Professor Jussi Keppo

John N. Tsitsiklis

John N. Tsitsiklis

Dr. Tan Hong Ming

Ankur Moitra

Dr. Abhinanda Sarkar

Caroline Uhler

Vivekanand R

Ankur Moitra

Caroline Uhler

Denver Dias

Prof. Raghavshyam Ramamurthy

David Gamarnik

Stefanie Jegelka

Udit Mehrotra

David Gamarnik

Mr. R Vivekanand

Devavrat Shah

Dr. Tom Miller

Dr. Srabashi Basu

Dr. D Narayana

Guy Bresler

Guy Bresler

Jonathan Kelner

Jonathan Kelner

Kalyan Veeramachaneni

Kalyan Veeramachaneni

Philippe Rigollet

Philippe Rigollet

Stefanie Jegelka

Tamara Broderick

Tamara Broderick

Victor Chernozhukov

Victor Chernozhukov

Our Industry Mentors

Serdar Cellat

Nitish Jaipuria

Weibiao (Wilson) Huang

Dale Seema

Amit Jain

Vaibhav Verdhan

Phumzile Phantsi

Adaikalavan Ramasamy

Wole Ogungbesan

Bradford Tuckfield

Bradford Tuckfield

Mr. Bradford Tuckfield

Prabhat Bhattarai

Omar Attia

Vaibhav Verdhan