Explore Data Science Courses

Whether you’re looking to start a new career in Data Science or gain the skills and expertise to advance in your current field, we have a Data Science course for you. Here is the list!

Learn More About 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
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 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

 

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
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

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
Data Science Course Eligibility

 

Course

Eligibility*

PGP - Data Science and Business Analytics

Undergraduates and Working Professionals

PGP - Data Science and Engineering (PGP-DSE)

Undergraduates and Working Professionals

PGP in Data Science and Engineering (Bootcamp)

Undergraduates and Working Professionals

Data Science and Machine Learning Program

Working Professionals, Managers, Leaders, and Entrepreneurs

Master’s in Data Science

Undergraduates 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)

Undergraduates 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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Our Industry Mentors

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

Serdar Cellat

Serdar Cellat

Principal Data Scientist

Liberty Mutual Insurance (USA)

Nitish Jaipuria

Nitish Jaipuria

Strategist (Data Science)

Google (Singapore)

Weibiao (Wilson) Huang

Weibiao (Wilson) Huang

Analytics Consultant

Boston Consulting Group (Singapore)

Dale Seema

Dale Seema

Data Science Specialist

FNB South Africa

Amit Jain

Amit Jain

Deputy Manager - Business Analytics & Business Intelligence

Keppel Corporation Limited (Singapore)

Vaibhav Verdhan

Vaibhav Verdhan

Principal Data Scientist

Johnson & Johnson’s (Ireland)

Phumzile Phantsi

Phumzile Phantsi

Data Scientist

ABSA Group (South Africa)

Adaikalavan Ramasamy

Adaikalavan Ramasamy

Senior Research Scientist

Genome Institute of Singapore (GIS)

Wole Ogungbesan

Wole Ogungbesan

Director - Advance Analytics & Automation

UBS (United Kingdom)

Roman Mozil

Roman Mozil

Applied Data Scientist

Finning (Canada)

Kalle Bylin

Kalle Bylin

Product Engineer

Modyo (Colombia)

Subhodeep Dey

Subhodeep Dey

Data Scientist (Project Lead)

UnitedHealth Group (India)

George Liu

George Liu

Senior Data Scientist

Chatter Research (Canada Area)

Joseph Deutsch

Joseph Deutsch

Data Scientist

Capital One (United States)

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Top projects done by our learners

Check out the enthusiastic projects performed by our learners. Learn the career transitioning projects performed by aspiring data scientists and get inspired.

  • Marketing

    Airplane Passenger Satisfaction Prediction

    Using the survey data, predict whether the customer will be satisfied or dissatisfied with the services that the Airlines is providing
    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
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User testimonials of Data Science Programs

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

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

    Leanne Da Cerca

    Senior Group Manager, Johannesburg, South Africa

    Program : PG Program in Data Science and Business Analytics

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

    Moeti Manoto

    Service Manager, Openserve, South Africa

    Program : PG Program in Data Science and Business Analytics

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

    Seun Lawal Anako

    Senior Manager, Business Compliance, America Tower Company, Nigeria

    Program : PG Program in Data Science and Business Analytics

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

    Fermar B Talosig

    Senior Associate Engineer

    Program : PG Program in Data Science and Business Analytics

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

    Salim Khan

    Planning and Performance Manager

    Program : PG Program in Data Science and Business Analytics

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Learner Reviews for our Data Science Programs

06 Dec 2022
Batch of April 2022 | Regional Program Officer Humanitarian And North East Team at Department For International Development (Dfid) | Nigeria
The class has always been interactive and the Mentor goes an extra mile to share real examples and other links and resources that helps student understand the topic better.

Program : PG Program in Data Science and Business Analytics

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13 Feb 2022
Batch of October 2021 | Founder/Owner at JD REI Holdings LLC | United States
A very good program that was loaded with information and offered much more than expected. I really liked the assistance and would recommend all to go for this program if you want to build your career in Data Science.

Program : Applied Data Science Program

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31 Jul 2022
Batch of February 2022 | Singapore
The session was quite useful in understanding multiple perspectives of a given problem and various approaches that one can take to resolve the problem.

Program : PG Program in Data Science and Business Analytics

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11 Feb 2022
Batch of October 2021 | Associate Director at UBS Singapore | Singapore
This program gave me good insights into data science, MIT Prof's classes were very thought-provoking and structured to understand. Mentor sessions were great in terms of covering the key concepts, reference materials and project guidance. The facilitators not only cover the queries but also were adding insights. This program has been my stepping stone to a career in Data Science

Program : Applied Data Science Program

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22 Aug 2022
Batch of October 2022 | Co Founder/President at The Creativity Post | United States
Fantastic mentoring skills. Very clear explanations of concepts and extremely helpful and practical examples of real-world applications.

Program : PG Program in Data Science and Business Analytics

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27 Jan 2022
Batch of August 2020 | Senior Neuroinformatics Research Associate at Vanderbilt University | United States
The succinct explanation of concepts by the professors from MIT was simplified yet detail oriented with examples which helped for clarifications of concepts. The case studies and the projects covered the practical use of the concepts in analysing a multitude of domains covering the AI/ML landscape.

Program : Applied Data Science Program

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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

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15 Aug 2022
Batch of January 2022 | Consumer & Market Insights Manager at Ipsos | United Arab Emirates
Superb teaching ability, great passion for the subject, eagerness to show live or related examples and help make understand the concepts in a better way. Hats off to the commitment and consistency. Thank you very very much! :)

Program : PG Program in Data Science and Business Analytics

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27 Dec 2022
Batch of March 2021 | Especialista De Consolidación Financiera at Tigo Panamá
I value the dedicated career support designed with enriching elements as complementary to the Data Science and Business Analytics training program. Not only for freshers but also for those of us who are in a transition process. You have included professionals from the technical side as well as those in charge of each stage of the evaluation, selection, and contracting process. Thank you.

Program : PG Program in Data Science and Business Analytics

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05 Dec 2022
Batch of May 2022 | United States
Adel is an excellent mentor. He shows that he cares for his students' learning journey; his sessions are engaging and full of external references and suggestions on how to approach different use cases. In today's session, he covered the EDA in detail, taking time to answer questions about outliers in particular. Adel covered the technical concepts for hierarchical clustering as we went through the case and I like that he made questions to make sure that we understand important concepts. The most valuable skill that I took from today's session is that we have to explore different methods to get to a model that we consider acceptable.

Program : PG Program in Data Science and Business Analytics

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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:

 

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.