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Explore Data Science Courses

Browse the best data science courses and build a strong foundation to boost your career. We offer these courses in collaboration with world-renowned universities to provide you with a top-notch learning experience.

Career Transitions in Data Science Courses

Check our learners' successful transitions in data science job roles. Talk to our experts to understand how our programs can help you in your career goals.

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    Kamini Sahu

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    Data Science

    Business Development Executive

    Dynamo Consulting Services Limited

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    Associate Business Analyst

    Cotiviti

    Cotiviti
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    Sneha Jaiswal

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    Data Science

    Teacher Partner

    Cuemath

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    Data Processing Analyst

    NielsenIQ

    NielsenIQ
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    Abdul Rauf Mohammad

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    Data Science

    Product Owner

    JPMorgan Chase & Co.

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    Vice President

    Wells Fargo

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    Rajat Dekate

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    Data Science

    Entrepreneur

    MMKR POLYPLAST PVT. LTD.

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    Associate Business Analyst

    Cotiviti

    Cotiviti
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    Dhivya Karthic

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    Data Science

    Education Program Manager

    IIT Madras | IIM Bangalore

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    Analyst

    Deloitte Consulting

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    Rishi Tiwari

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    Data Science

    Assistant Manager

    Zerodha Broking Limited

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    Data Analyst

    Reliance Retail

    Reliance Retail
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    Siddharth Shinde

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    Data Science

    Process Associate

    Genpact

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    Data Analyst

    Dell

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    Ajit Muthunarayanan S

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    Data Science

    Digital content associate

    Amazon

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    Business Analyst

    HCL

    HCL
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    Ajay Devdas Pananchikal

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    Data Science

    DATABASE ADMINISTRATOR

    Larsen And Toubro Infotech

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    Product Analyst

    Big Basket

    Big Basket
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    Ann Maria John

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    Data Science

    Drug Safety Associate

    IQVIA RDS (India) Private Limited

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    Business Analyst

    Genpact

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    Akansha Pruthi

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    Data Science

    Process Associate

    Genpact

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    Research Analyst

    Indegene

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    Aditya Sabbisetti

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    Data Science

    Data Analyst

    Makemytrip

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    Data Analyst

    Walt Disney

    Walt Disney
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    Akash Sah

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    Data Science

    Senior System Engineer

    Infosys

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    Associate Consultant

    EY India

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    Amulya Manne

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    Data Science

    SPS Associate - SME

    Amazon.com

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    Data Analyst

    Myntra

    Myntra
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    Akshaya N

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    Data Science

    Product specialist

    Zomentum

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    Business Reporting Analyst

    EXL

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    Abhishek Pal

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    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

Munther Dahleh

Munther Dahleh

MIT

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

Ali Masri

Ali Masri

Lead Data Engineer, Ford Motor Company

Ryley Bauer

Ryley Bauer

Chief Automation Officer -
Bauer Automate

Bradford  Tuckfield

Bradford Tuckfield

Founder, KMBARA

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

John N. Tsitsiklis

John N. Tsitsiklis

MIT

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

Georg Huettenegger

Georg Huettenegger

Mentor, Great Learning

Hassan Saidinejad

Hassan Saidinejad

Data Scientist

Ankur Moitra

Ankur Moitra

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

Caroline Uhler

Caroline Uhler

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

Dr. Sutharshan Rajasegarar

Dr. Sutharshan Rajasegarar

Senior Lecturer in Computer Science Course Director Master of Data Science

Sam Rahbar

Sam Rahbar

Senior AI Scientist

Saman Rahbar

Saman Rahbar

Senior AI Scientist -
Global Relay

Ankur Moitra

Ankur Moitra

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

Caroline  Uhler

Caroline Uhler

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

Denver Dias

Denver Dias

Senior Data Science Consultant

Saurabh Kango

Saurabh Kango

Linkedin insights -
Program Manager

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

David  Gamarnik

David Gamarnik

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

David Gamarnik

David Gamarnik

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

Udit Mehrotra

Udit Mehrotra

Data Scientist

Dr. Bappaditya Mukhopadhyay

Dr. Bappaditya Mukhopadhyay

Ph.D (Indian Statistical Institute)

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

Devavrat  Shah

Devavrat Shah

Professor do EECS e MIT IDSS

Dr. Tom Miller

Dr. Tom Miller

Faculty Director

Dr. Ye Zhu

Dr. Ye Zhu

Senior Lecturer, Computer Science

Guy  Bresler

Guy Bresler

Professor Associado do EECS e MIT IDSS

Guy Bresler

Guy Bresler

Associate Professor, EECS and IDSS, MIT

Jonathan  Kelner

Jonathan Kelner

Professor 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

Dr. Bahareh Nakisa

Dr. Bahareh Nakisa

Senior Lecturer, Applied Artificial Intelligence

Kalyan Veeramachaneni

Kalyan Veeramachaneni

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

Philippe  Rigollet

Philippe Rigollet

Professor de Matemática e do MIT IDSS

Philippe Rigollet

Philippe Rigollet

Professor, Mathematics and IDSS, MIT

Stefanie  Jegelka

Stefanie Jegelka

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

Dr. Asef Nazari

Dr. Asef Nazari

Senior Lecturer in Mathematics for Artificial Intelligence

Tamara  Broderick

Tamara Broderick

Professora Associada do EECS e MIT IDSS

Tamara Broderick

Tamara Broderick

Associate Professor, EECS and IDSS, MIT.

Victor  Chernozhukov

Victor Chernozhukov

Professor de Economia e do MIT IDSS

Victor Chernozhukov

Victor Chernozhukov

Professor, Economics and IDSS, MIT

Gang Li

Gang Li

Professor,School of Info Technology

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

Learn from highly skilled industry practitioners working with top-notch companies. Stay ahead of the curve and ensure you are learning the most relevant data science skills.

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)

Bradford Tuckfield

Bradford Tuckfield

Founder and Data Science Consultant
Mr. Bradford Tuckfield

Mr. Bradford Tuckfield

Founder and Data Science Consultant
Bradford  Tuckfield

Bradford Tuckfield

Fundador e Consultor em Ciência de Dados
Prabhat Bhattarai

Prabhat Bhattarai

Data Scientist
Vaibhav  Verdhan

Vaibhav Verdhan

Líder de Inteligência Analítica, Inteligência Analítica Avançada Global
Omar Attia

Omar Attia

Senior Machine Learning Engineer
Ms. Mayan Murray

Ms. Mayan Murray

Senior Data Scientist and UX Consultant
Nikhila Kambalapalli

Nikhila Kambalapalli

Consultant, Data Science
Mayan  Murray

Mayan Murray

Cientista de Dados Sênior e Consultora de UX
Mr. Vibhor Kaushik

Mr. Vibhor Kaushik

Data Scientist
Srihari  Nagarajan

Srihari Nagarajan

Senior Data Scientist
Selcuk Baran

Selcuk Baran

Research Science Manager
Matt Nickens

Matt Nickens

Manager, Partnership Science
Mr. Amit Agarwal

Mr. Amit Agarwal

Senior Data Scientist
Vibhor  Kaushik

Vibhor Kaushik

Cientista de Dados
Olayinka Fadahunsi

Olayinka Fadahunsi

Head of Data Science and Engineering
Mr. Kemal Yilmaz

Mr. Kemal Yilmaz

Senior Data Scientist
Fahad Akbar

Fahad Akbar

Senior Manager Data Science
Amit  Agarwal

Amit Agarwal

Cientista de Dados Sênior
Udit Mehrotra

Udit Mehrotra

Data Science Specialist
Kemal  Yilmaz

Kemal Yilmaz

Cientista de Dados Sênior
Ms. Xiaojun Su

Ms. Xiaojun Su

Data Science Product Manager
Anis Sharafoddini

Anis Sharafoddini

Data Scientist Lead
Xiaojun  Su

Xiaojun Su

Gerente de Produtos de Ciência de Dados
Shannon Schlueter

Shannon Schlueter

Director of Data Science
Mr. Juan Castillo

Mr. Juan Castillo

Machine Learning Engineer
Avinash Ramyead

Avinash Ramyead

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

Edward Krueger

Principal Data Scientist and Proprietor
Tara Ann Thomas

Tara Ann Thomas

Senior Analyst Data Scientist
Mr. Andrew Marlatt

Mr. Andrew Marlatt

Data Scientist - Revenue Expansion
Juan  Castillo

Juan Castillo

Engenheiro de Machine Learning
Paolo Esquivel

Paolo Esquivel

Senior Data Scientist
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
Rohit  Dixit

Rohit Dixit

Cientista de Dados Sênior
Mr. Srikanth Pyaraka

Mr. Srikanth Pyaraka

Data Science Product Manager
Michael Keith

Michael Keith

Analytics Manager
Kalle Bylin

Kalle Bylin

Product Engineer
Anuj Saini

Anuj Saini

Principal Data Scientist, RPX Corporation
Yogesh Singh

Yogesh Singh

Founder and CEO, NSArrows
Srikanth  Pyaraka

Srikanth Pyaraka

Gerente de Produtos de Ciência de Dados
Mr. Angel Das

Mr. Angel Das

Data Science Consultant
Mohit Jain

Mohit Jain

Principal Data Scientist
Rushabh Shah

Rushabh Shah

Software Developer, Kyra Solutions
Mr. Shirish Gupta

Mr. Shirish Gupta

Lead Data Scientist
Marco De Virgilis

Marco De Virgilis

Actuarial Data Scientist Manager
Angel Das

Angel Das

Consultor em Ciência de Dados
Mustafa Shaikh

Mustafa Shaikh

Senior Data Scientist
Mr. Vanessa Afolabi

Mr. Vanessa Afolabi

Senior Data Scientist
Shirish  Gupta

Shirish Gupta

Cientista de Dados Principal
Andrew Marlatt

Andrew Marlatt

Data Scientist - Revenue Expansion
Mr. Thinesh Pathmanathan

Mr. Thinesh Pathmanathan

Data Scientist
Rohit Dixit

Rohit Dixit

Senior Data Scientist
Roshan Santhosh

Roshan Santhosh

Data Scientist, Meta
Vanessa  Afolabi

Vanessa Afolabi

Cientista de Dados Sênior
Nikhar Shah

Nikhar Shah

Senior Data Scientist
Thinesh  Pathmanathan

Thinesh Pathmanathan

Cientista de Dados
Nitin Ranjan Sharma

Nitin Ranjan Sharma

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 Data Science Projects Done By Our Learners

Check out our learners' enthusiastic, career-transitioning projects and become a highly skilled Data Science professional.

  • 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 our Data Science Courses

Explore learner’s testimonials from real people who transformed their careers with our Data Science courses.

  • user image

    Chun Wing Ip

    Data Science and Machine Learning: Making Data-Driven Decisions

  • user image

    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

Webinars on Data Science

With our webinars, learn from leading experts in Data Science. Gain insights and strategies for your career success in the data science domain.

Data Science Course Reviews

Read these reviews from our real learners and their experience with our courses. This will help you choose the right course for yourself.

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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28 Feb 2024
Batch of January 2022 | Contact Center Manager at Liberty Power | United States
My experience with Great Learning was amazing. I come from a non-technical background but because of this program, I learned how to build linear regression models. I now understand the impact this type of tool has on practical applications. This program has given me an advantage in the workplace. I believe that I will be ahead of the curve when it comes to offering solutions to complex business problems. It has helped me build a strong foundation in Data Processing, constructing algorithms and using Python.

Program : Post Graduate Program in Data Science and Business Analytics

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24 Jan 2024
Batch of July 2022 | Associate Business Analyst at Landmark
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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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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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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02 Apr 2024
Batch of September 2022 | Lecturer at Hanoi School of Business - Vietnam University | Vietnam
The MIT Applied Data Science program helped me upgrade my knowledge and keep up with hot-trend technology and machine learning algorithms, and improve my coding skills with Python language. World-class teaching from MIT professors, a high-quality project with a clear algorithm and purpose for each module, and 24/7 support from the Program Manager made the program worth every bit of my time.

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

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02 Apr 2024
Batch of March 2023 | Information Manager at INSO | Nigeria
I recently completed the Data Science and Business Analytics PG program and found it insightful and informative. The program contents are detailed, and the videos comprehensively understand data analytics and its applications in business contexts. Additionally, the mentorship sessions helped enhance my understanding and clarify any doubts. The program also helped me improve my data visualization skills, and I now know the right and best plots to visualize datasets.

Program : Post-Graduate Program in Data Science & Business Analytics

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06 Feb 2024
Batch of June 2022 | Library Assistant at Moi University | Kenya
My main objective was to acquire skills in Data Science and Machine Learning. I also wanted to master Python. This program met all my expectations. I was quite impressed with the well-designed curriculum and program delivery. My program manager was quite supportive, which eventually made the entire learning process easy.

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

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31 Jan 2024
Batch of March 2022 | Principal Engineer / Manager at Qualcomm | United States
The program was top-notch, with excellent teaching, content, homework, and collaboration with other students. The support from the staff was outstanding, and I gained practical knowledge in using software and standard libraries for data analysis. This knowledge is already helping me and my team identify and implement new work initiatives.

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

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02 Apr 2024
Batch of November 2022 | Strategic Partnerships Development Manager at CIDECAP Firm | Mexico
This journey has been a game changer for me, both, in my personal as well as professional development. It has taken my analytical skills to the next level and prepared me for better job opportunities. I would like to thank the career support team, my Program Manager, and all my mentors for all their support.

Program : Data Analytics Essentials

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Data Science Course 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 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.

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

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

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

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

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

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

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

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

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

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

These Data Science programs offer numerous benefits, such as:

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

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

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

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

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

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

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

What is the salary of a data scientist fresher across the world?

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

 

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

 

What 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.

 

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 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.