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Explore Data Science Courses

Build a strong foundation with the best data science courses to boost your career. You will get a top-notch learning experience with these Popular Data Science Certificate Programs. These programs are in collaboration with world-class universities.

Masters (MS) in Data Science in USA & Germany (Study Abroad)

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

    arrow

    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.

Dr. Abhinanda Sarkar

Dr. Abhinanda Sarkar

Ph.D. from Stanford University, Ex-Faculty - MIT

Faculty Director, Great Learning

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)

Ryley Bauer

Ryley Bauer

Chief Automation Officer -
Bauer Automate

Bradford  Tuckfield

Bradford Tuckfield

Founder, KMBARA

John N. Tsitsiklis

John N. Tsitsiklis

MIT

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

Hossein Kalbasi

Hossein Kalbasi

Senior Data Scientist,Mercator AI

Georg Huettenegger

Georg Huettenegger

Mentor, Great Learning

Caroline Uhler

Caroline Uhler

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

Ankur Moitra

Ankur Moitra

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

Dr. Sutharshan Rajasegarar

Dr. Sutharshan Rajasegarar

Senior Lecturer in Computer Science Course Director Master of Data Science

Sam Rahbar

Sam Rahbar

Senior AI Scientist

Prof. Prashant Koparkar

Prof. Prashant Koparkar

Corporate Trainer and Consultant - Machine Learning

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

David Gamarnik

David Gamarnik

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

Udit Mehrotra

Udit Mehrotra

Data Scientist

Jitendra Gopaluni

Jitendra Gopaluni

Data Solutions Architect,Veterans United Home Loans

Dr. Bappaditya Mukhopadhyay

Dr. Bappaditya Mukhopadhyay

Ph.D (Indian Statistical Institute)

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

Dr. C P Gupta

Dr. C P Gupta

Finance

Dr. Tom Miller

Dr. Tom Miller

Faculty Director

Guy Bresler

Guy Bresler

Associate Professor, EECS and IDSS, MIT

Dr. Ye Zhu

Dr. Ye Zhu

Senior Lecturer, Computer Science

Jonathan Kelner

Jonathan Kelner

Professor, Mathematics, MIT

Kalyan Veeramachaneni

Kalyan Veeramachaneni

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

Dr. Bahareh Nakisa

Dr. Bahareh Nakisa

Senior Lecturer, Applied Artificial Intelligence

Philippe Rigollet

Philippe Rigollet

Professor, Mathematics and IDSS, MIT

Dr. Asef Nazari

Dr. Asef Nazari

Senior Lecturer in Mathematics for Artificial Intelligence

Tamara Broderick

Tamara Broderick

Associate Professor, EECS and IDSS, MIT.

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)

Dr. Satish Raghavendran

Dr. Satish Raghavendran

Vice President, Deloitte
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)

Prabhat Bhattarai

Prabhat Bhattarai

Data Scientist
Mr. Bradford Tuckfield

Mr. Bradford Tuckfield

Founder and Data Science Consultant
Mr. Manish Gupta

Mr. Manish Gupta

Senior Applied Scientist,Microsoft
Mr. V Shekhar Avasthy

Mr. V Shekhar Avasthy

Chief Data Scientist & Principal Consultant, Facts 'n' Data
Nikhila Kambalapalli

Nikhila Kambalapalli

Consultant, Data Science
Ms. Mayan Murray

Ms. Mayan Murray

Senior Data Scientist and UX Consultant
Mr. Sreevasan P S

Mr. Sreevasan P S

Data Science Practitioner, AI/ML Mentor, Ex - Cognizant
Mr. Balaji Sundararaman

Mr. Balaji Sundararaman

Mentor - Data Science, ML, AI and Analytics at Great Learning
Srihari  Nagarajan

Srihari Nagarajan

Senior Data Scientist
Mr. Vibhor Kaushik

Mr. Vibhor Kaushik

Data Scientist
Mr. Udayakumar Devaraj

Mr. Udayakumar Devaraj

Senior Data Scientist, WNS
Olayinka Fadahunsi

Olayinka Fadahunsi

Head of Data Science and Engineering
Mr. Amit Agarwal

Mr. Amit Agarwal

Senior Data Scientist
Fahad Akbar

Fahad Akbar

Senior Manager Data Science
Mr. Kemal Yilmaz

Mr. Kemal Yilmaz

Senior Data Scientist
Anis Sharafoddini

Anis Sharafoddini

Data Scientist Lead
Udit Mehrotra

Udit Mehrotra

Data Science Specialist
Ms. Xiaojun Su

Ms. Xiaojun Su

Data Science Product Manager
Avinash Ramyead

Avinash Ramyead

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

Shannon Schlueter

Director of Data Science
Mr. Juan Castillo

Mr. Juan Castillo

Machine Learning Engineer
Edward Krueger

Edward Krueger

Principal Data Scientist and Proprietor
Mr. Andrew Marlatt

Mr. Andrew Marlatt

Data Scientist - Revenue Expansion
Paolo Esquivel

Paolo Esquivel

Senior Data Scientist
Mr. Rohit Dixit

Mr. Rohit Dixit

Senior Data Scientist
Michael Keith

Michael Keith

Analytics Manager
Anuj Saini

Anuj Saini

Principal Data Scientist, RPX Corporation
Kalle Bylin

Kalle Bylin

Product Engineer
Mr. Srikanth Pyaraka

Mr. Srikanth Pyaraka

Data Science Product Manager
Mohit Jain

Mohit Jain

Principal Data Scientist
Yogesh Singh

Yogesh Singh

Founder and CEO, NSArrows
Mr. Angel Das

Mr. Angel Das

Data Science Consultant
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
Mr. Vanessa Afolabi

Mr. Vanessa Afolabi

Senior Data Scientist
Roshan Santhosh

Roshan Santhosh

Data Scientist, Meta
Mr. Thinesh Pathmanathan

Mr. Thinesh Pathmanathan

Data Scientist
Mr. Grivine Ochieng

Mr. Grivine Ochieng

Lead Data Engineer
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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.

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    Mauricio De Garay

    MIT Professional Education's Applied Data Science Program

  • user image

    Berthy Buah

    Data Science and Machine Learning: Making Data-Driven Decisions

  • 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

  • user image

    Monica Suarez

    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.

08 Jun 2024
Batch of August 2022 | Project Accountant at Plan International Ghana | Ghana
This program is an excellent way to gain a fundamental understanding of Data Science applications across industries. Despite no prior experience with Python or Machine Learning, I sought a university-accredited program to transition from a Healthcare Scientist role to a Data Scientist. Unlike bootcamps, this program offers consistent quality and positive feedback from previous graduates. Completing the program equipped me with Python skills for data analysis and Machine Learning. The fast-paced curriculum includes projects and assessments to test understanding, with expert mentor support ensuring guidance throughout. Thanks to resume reviews and advice from industry experts, I successfully transitioned into a data role within a company.

Program : Post Graduate Program in Data Science and Business Analytics

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30 Jun 2024
Batch of March 2023 | Medical Officer at Holy Innocents Children's Hospital | Uganda
The program equipped me with the skills to make data-driven decisions in today's data-centric world. As a medical doctor at Holy Innocents Children's Hospital in Uganda, I was keen to learn how to handle the vast amounts of data we encounter.

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

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23 Apr 2024
Batch of August 2022 | Trainee Decision Scientist 3 at Mu-Sigma
My experience with the program was great. From the fundamentals of coding to advanced topics, the program gave me a complete understanding of Data Science. The personalised career assistance that I received was instrumental in shaping my career - from an Aerospace and Manufacturing background to Data Science. The program helped me transition into the Analytics industry, with a job at Mu Sigma.

Program : Post Graduate Program in Data Science and Engineering

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23 Apr 2024
Batch of December 2020 | Data Processing Specialist at NielsenIQ
I completed my PG Program in Data Science and Business Analytics with Great Learning. I thoroughly liked the curriculum and how it was paced and planned across the schedule. Being a non-coder, I could understand the logic and concepts pretty well. The mentors were industry experts who helped me understand real-time implementation of the concepts. The mentorship and industry sessions were of great assistance. Upskilling with the program helped me land a great job. Overall, it was a pleasant learning experience.

Program : Post Graduate Program in Data Science and Business Analytics

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15 May 2024
Batch of December 2020 | Junion Data Science consultant at Centelon Solutions
It was a great experience. The way faculty teach concepts from scratch was excellent. I started this program with a blank mind but when the faculty members started teaching, I learned various Data Science concepts thoroughly. They connect every concept with real-life examples. Though I was new to the domain, I gained complete understanding of the key skills. I would rate this program five stars.

Program : Post Graduate Program in Data Science and Business Analytics

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15 May 2024
Batch of January 2021 | Data Analyst at Ola Financial Services
I am an Electronics Engineering graduate and I am currently working as a Data Analyst in Ola Financial Services Pvt. Ltd. I was stuck in a support role for a long time and wanted to get out of it. I was planning on getting a PG program from a reputed organisation which could help me build foundational skills in Data Science and Business Analytics and support me with career transition. That's when I joined this program. The video lectures delivered by the SMEs gave us foundational knowledge. The mentoring sessions helped me clear my doubts and the hands-on projects familiarised me with problem solving. The industry sessions were simply the cherry on the cake.

Program : Post Graduate Program in Data Science and Business Analytics

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15 May 2024
Batch of December 2020 | Data Analyst at RioMed Ltd
The journey with Great Learning has been a roller coaster ride. Especially because it was the pandemic period and everyone was connected virtually. There were times where I was eager to learn more and submit assignments way before the deadline, and there were times where I had stretched the assignments till the last minute. But, I always had something new to learn and it kept building my confidence. It also increased my love for data analysis. The program and modules were well-structured and so were the assignments and module-wise projects. It helped me with my technical skills and analytical abilities. I joined this program because I wanted to get a glimpse of data analysis and see if I could switch to this domain. And this program has pushed me to take a major step in this direction.

Program : Post Graduate Program in Data Science and Business Analytics

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08 Jun 2024
Batch of January 2022 | GIS Analyst at PennVirginia O&G | United States
I enrolled in the Post Graduate Program in Data Science and Business Analytics following a layoff from my previous job. I enrolled in this program to pivot my career path and enhance my skills. With 17 years of experience as a GIS Analyst, I sought to integrate Python scripting for automation in GIS work. Despite time constraints, I completed the program and am grateful for the knowledge I gained. I'm now applying these skills in my role as a GIS analyst at an engineering firm, making my work more impactful. Special thanks to my Project Managers for their support. I highly recommend this program to anyone aiming to strengthen Python scripting and data analysis skills.

Program : Post Graduate Program in Data Science and Business Analytics

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23 Apr 2024
Batch of October 2021 | Analyst - Data Engineer at EY
Joining Great Lakes was a good decision for me. It added value to my current job. I learned the basics of Data Science. The mentor assigned to me was very helpful and clear with the basics of Data Science. Great Learning helped me get a job at EY-GDS and the job portal - Excelerate was quite good.

Program : Post Graduate Program in Data Science and Business Analytics

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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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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.