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Online Data Science Courses

Achieve groundbreaking career breakthroughs with 100% online Data Science courses from top Indian and global universities, in association with upGrad, designed to deliver prestigious certifications and up to 57% salary hikes.

Data Science certification courses with Generative Artificial Intelligence Integrated Curriculum

16+ Real World Projects and Case Studies

Latest Data Science and Machine Learning Tools and Languages

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Exclusive Job Portal

57% Avg Salary Hike

1:1 Mentorship Sessions

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Our Programs are Accredited
Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions
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Why choose online Data Science courses?

Online Data Science Programs offer the perfect mix of flexibility, industry relevance, and affordability, making them an excellent choice for learners at all levels. Whether you’re a fresh graduate, a working professional, or an entrepreneur, enrolling in a data science certification course can be a game-changer.

Here’s why opting for online programs can be transformative:

1. Flexible Learning for Busy Schedules

  • Learn anytime, anywhere—perfect for balancing work, life, and study.
  • An online data science course provides live sessions, recorded lectures, and self-paced modules, allowing you to set your own schedule.
  • Platforms like upGrad offer interactive learning environments, connecting you with global faculty and peers.

2. Affordable and Accessible Education

  • Save up to 34% compared to offline programs, which can be nearly 66% more expensive.
  • No additional costs for relocation, commuting, or housing when you choose an online data science course like upGrad’s.Flexible EMI options make it easier to enroll in the best data science courses without financial strain.
  • Earn globally recognized certifications, making quality education accessible from anywhere.

3. Industry-Aligned Curriculum

  • upGrad’s data science training integrates cutting-edge technologies like Generative AI, Machine Learning, and Big Data Analytics.
  • Gain hands-on experience through real-world datasets, hackathons, and projects in industries such as healthcare, finance, and e-commerce.
  • The curriculum is continuously updated to align with industry trends, ensuring job readiness.

4. A Cutting-Edge Learning Experience

  • Learn from world-class faculty and top industry experts who bring practical insights into every session.
  • Engage in interactive tools like virtual labs, collaborative projects, and Q&A forums for an immersive learning experience.
  • Join a network of ambitious learners, unlocking valuable connections for future career growth.

5. Apply Your Learning Instantly

  • The best data science courses ensure that what you learn today is immediately applicable in your job.
  • Work on live projects and case studies from industry leaders to gain hands-on expertise.
  • Enhance your job performance and open new career opportunities with real-time learning.

Invest in an online data science course today and take the first step toward a successful career in data science!

Free Data Science Certification Courses

Start learning for free

Begin your Data Science journey with our free introduction to data analytics courses, a perfect starting point for analytical upskilling.

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Case Study using Tableau, Python and SQL

Free Certificate

Case Study using Tableau, Python and SQL

This course will help you apply your knowledge in SQL, Python and Tableau to come up with a business solution for the churn problem faced by businesses.

10 Hours

Introduction to Tableau

Free Certificate

Introduction to Tableau

Learn how you can transform data into actionable insights by conducting data analysis and visualise it using various chart types in Tableau

8 Hours

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Free Certificate

Data Science in E-commerce

Learn about price optimisation, market mix modelling, A/B testing and other key skills used to make data-driven decisions in the E-commerce sector

13 Hours

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Free Certificate

Introduction to Natural Language Processing

Uncover the basics of NLP and other topics like RegEx for building tools for Spam Detection, Phonetic Hashing and Spell Correction in this introductory course

11 Hours

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Free Certificate

Fundamentals of Deep Learning of Neural Networks

Learn about cutting-edge ML models like Artificial Neural Networks or ANNs and various other concepts related to Deep Neural Network in this beginner-friendly course

28 Hours

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Free Certificate

Linear Algebra for Analysis

Learn about vectors, linear transformations, matrices, eigenvalues and eigenvectors in Linear Algebra as you build a solid foundation for analytics with this course

5 Hours

Artificial Intelligence in the Real World

Free Certificate

Artificial Intelligence in the Real World

This free AI course delves into AI's diverse industry applications, providing insights into its pivotal role across various sectors.

7 Hours

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Free Certificate

Advanced SQL: Functions and Formulas

Improve your understanding of SQL as you learn about window functions, partitioning, query optimisation, case statements, stored functions & more in this course

11 Hours

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Free Certificate

Introduction to Database Design with MySQL

Learn all about database design and the basics of MySQL using MySQL Workbench in this beginner-friendly course

8 Hours

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Free Certificate

Hypothesis Testing Crash Course

Learn about the various types of hypotheses, Decision-making criteria, critical value and p-value methods for testing Hypothesis.

11 Hours

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Free Certificate

Basics of Inferential Statistics

This data analytics course will help you learn how to use a random sample data to describe and make inference about the population.

15 Hours

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Free Certificate

Unsupervised Learning: Clustering

Learn the fundamentals of clustering in unsupervised learning as you introduce yourself to Clustering, K-Means Clustering Hierarchical Clustering, and its execution

11 Hours

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Free Certificate

Logistic Regression for Beginners

The course covers the concept of Logistic Regression and its applications in the industry.

17 Hours

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Free Certificate

Linear Regression - Step by Step Guide

Learn the basics of simple and multiple linear regression, and their relevance in various industries.

21 Hours

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Free Certificate

Learn Python Libraries: NumPy, Matplotlib and Pandas

Learn about the three most important and popular Python libraries for handling data: NumPy, Matplotlib and Pandas.

15 Hours

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Free Certificate

Learn Basic Python Programming

Solve coding questions based on Lists, Strings and other data structures like tuples, sets and dictionary to improve your problem solving abilities with Python

5 Hours

Data Science courses with placement

Placements: Where our graduates work!

Graduates from online Data Science programs have successfully transitioned into roles at some of the world’s leading companies:

57%
Average Salary Hike
₹1.23 Cr
Highest Salary Offered
6000+
Career Transitions
300+
Hiring Partners

Top Recruiters

Tech Mahindra
Amazon
Tata
Wipro
Microsoft
TCS
Infosys
Flipkart
IBM
HDFC Bank
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Career Outcomes of an online Data Science degree

A data science certification course is your gateway to high-impact roles, industry recognition, and exceptional salary growth. As businesses rely more on data-driven decisions, professionals with expertise in data science training are in high demand across industries.

Explore how a data science course with a placement guarantee can change your future:

1. High-Demand Roles Across Industries

Graduates of Data Science Programs secure top-paying positions in diverse fields, including:

  • Data Scientist
  • Data Architect
  • Data Analyst
  • Business Intelligence Analyst
  • Big Data Analyst

2. Real-World Industry Applications

An online data science course prepares you to drive innovation across multiple sectors:

  • Finance & Banking: Detect fraud, develop credit scoring models, and forecast financial trends.
  • Healthcare: Use predictive analytics to enhance patient care and disease prevention.
  • E-Commerce: Optimize inventory, build recommendation engines, and analyze buying patterns.
  • Retail: Implement dynamic pricing, improve supply chain management, and refine customer segmentation.
  • Technology: Advanced AI-powered product development, cloud computing, and cybersecurity.

3. Competitive Salary Growth

Completing a data science online course leads to impressive salary advancements:

  • INR 1.23 LPA Highest Salary: Achieved by program graduates placed in leading firms.
  • 57% Average Salary Hike: Many learners report significant earnings growth post-certification.
  • 400% Highest Salary Hike: Experienced by professionals transitioning from non-tech backgrounds.

Given such high returns, it's no surprise that data science courses consistently lead to some of the most lucrative career paths worldwide.

4. Seamless Career Growth and Transitions

The best data science courses empower professionals to:

  • Advance from entry-level positions to senior roles like Data Scientist or Machine Learning Engineer.
  • Shift from non-technical fields to data-centric careers in technology, retail, and healthcare.
  • Step into leadership roles such as Chief Data Officer, overseeing data-driven strategies.

5. Global Career Prospects

An online data science course with placement support opens international job opportunities:

  • Global Hiring Network: upGrad partners with 300+ companies worldwide.
  • Work Remotely: Secure flexible roles that allow collaboration across borders.
  • Cross-Industry Mobility: Data Science expertise applies across sectors, enabling seamless career transitions.

With the right data science training, you can future-proof your career and unlock limitless professional opportunities. 🚀

What are the average salary packages after this Data Science Course?

Did you know? A very recent survey by Statista has revealed that the highest-paid data architect in India earns over INR 2 million annually.

Here’s a rundown of some of the highest-paying job roles you can get in India after getting your data analyst certificate and degrees:

  • Data Scientist: INR 12 LPA
  • Data Architect: INR 25.5 LPA
  • Data Analyst: INR 6 LPA
  • Business Intelligence Analyst: INR 8 LPA
  • Big Data Analyst: INR 7.4 LPA

Source: Glassdoor, AmbitionBox

What is the eligibility for these online Data Science courses?

Pursuing an online Data Science course offers flexibility and accessibility, catering to diverse educational backgrounds and career aspirations. Eligibility criteria vary based on the program level — Master of Science (M.Sc.) or Postgraduate (PG) Diploma.

Below is a detailed overview:

General Eligibility Criteria for Online Data Science Courses

  • Educational Background: A bachelor's degree in relevant fields such as Computer Science, Mathematics, Statistics, Engineering, or related disciplines.
  • Minimum Marks: Typically, a minimum aggregate score of 50% in undergraduate studies.
  • Mathematics Proficiency: Some programs require prior coursework in Mathematics or Statistics.
  • Work Experience: Certain PG Diploma courses may prefer candidates with professional experience.

Specific Eligibility Criteria by Program Level

Program Level

Eligibility Criteria

MSc in Data Science

  • Bachelor's degree with at least 50% marks.
  • Mandatory subjects: Statistics, Mathematics, or Computer Science.

PG in Data Science

  • Bachelor's degree in Engineering, Science, or related fields.
  • Some programs may require work experience.

Certification Courses

  • Open to all educational backgrounds.
  • No prior experience required – ideal for beginners exploring the field.

Admission requirements for online Data Science Programs?

Enrolling in a data science course requires a combination of academic qualifications, technical skills, and, in some cases, professional experience. Whether you're starting with a beginner-friendly data science online course or opting for an advanced data science certification course, the prerequisites vary based on the program type.

Key Admission Requirements:

  • Academic Qualifications: Most Data Science Programs require candidates to have at least 50% aggregate in their undergraduate studies. For international institutions, this typically translates to a minimum GPA of 3.0 on a 4.0 scale.
  • Mathematics Proficiency: A solid foundation in calculus, linear algebra, or statistics is often essential for success in a data science training program.
  • Programming Skills: Familiarity with languages like Python, R, or SQL is preferred, especially for advanced courses.
  • Professional Experience: Executive and specialized data science certification courses may require 1-2 years of relevant work experience, particularly for leadership-focused tracks.

Data Science course instructors

Learn from the best

8

Instructors

10

Industry Experts

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Dr. Atif Waraich

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Faculty - Computer Science

A Senior faculty of Engineering and Technology at LJMU who has multiple publications in the health care domain 

LJMU Profile
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Prof. Dhiya Al-Jumeily

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Professor - Artificial Intelligence

A senior member of the IEEE and a chartered IT Professional, he is a fellow of the UK Higher Education ACademy 

LJMU Profile
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Debabrata Das

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Director, IIITB

Dr. Debabrata Das is Director of IIITB. He has received his PhD from IIT-KGP. His main areas of research are IoT and Wireless Access Network 

IIITB Profile
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Dr. Gabriela Czanner

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Faculty - Engineering and Technology

A Senior lecturer at Department of Applied Mathematics at LJMU. Her research focus is advanced statistics for decision support 

LJMU Profile
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Tricha Anjali

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Ex-Associate Dean

Prof. Anjali has a PhD from Georgia Institute of Technology as well as an integrated MTech (EE) from IIT Bombay. 

LinkedIn ProfileLinkedin
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Prof. G. Srinivasaraghavan

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Professor

Prof. Srinivasaraghavan has a PhD in Computer Science from IIT-K and 18 years of experience with Infosys and several other MNCs. 

IIITB Profile
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Chandrashekar Ramanathan

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Dean Academics

Prof. Chandrashekar has a PhD from Mississippi State University and experience of over 10 years in several multinational organisations. 

IIITB Profile
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Prof. Paulo Lisboa

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Head of Dept - Applied Mathematics

Studied mathematical physics at LU and was the chairman of Industrial Mathematics at KMJU in 1996 and Head of Graduate School in 2002 

LJMU Profile
Learn Data Science fundamentals from expert instructors who help you excel in your careers by imparting cutting-edge analytics and… Read More

Data Science Projects

Learn by doing

Our data science online certification programs have projects to apply theoretical knowledge in practical scenarios, helps you to tackle real-world problems.

16+

Industry projects to choose from

Slide 1 of 17

In this assignment, you will work for a consumer finance company which specialises in lending various types of loans to urban customers and use EDA to analyse the patterns present in the data. This will ensure that the applicants are capable of repaying the loan are not rejected.

Data Visualisation

Data Analysis

Data Interpretation

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Credit EDA Assignment

In this assignment, you will work for a consumer finance company which specialises in lending various types of loans to urban customers and use EDA to… Know More

Skills learned

Data Cleaning

Data Visualisation

Data Analysis

Data Interpretation

MySQL Queries

Data Manipulation

Data Analysis

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RSVP Case Study

In this assignment, you will work on a movies dataset using SQL to extract exciting insights about popular films and the factors that drive a film. 

Skills learned

MySQL

MySQL Queries

Data Manipulation

Data Analysis

ML Modelling

Model Evaluation

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Bike Sharing Assignment

Build a regression model to understand the factors on which the demand for bike sharing systems vary on and help a company optimise its revenue. 

Skills learned

Linear Regression

ML Modelling

Model Evaluation

In this case study, the company requires you to build a machine learning classification model wherein using some demographics and behavioral data of the leads (potential buyers), it will be able to identify the ones most likely to convert.

Decision Trees

Classification

ML Modelling

Model Evaluation

Business Problem Solving

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Lead Scoring Case Study

In this case study, the company requires you to build a machine learning classification model wherein using some demographics and behavioral data of t… Know More

Skills learned

Logistic Regression

Decision Trees

Classification

ML Modelling

Model Evaluation

Business Problem Solving

Telecom companies often face the problem of churning customers due to the competitive nature of the industry. Help a telecom company identify customers that are likely to churn and make data-driven strategies to retain them from the perspective of a business analyst.

Tree Models

Model Selection

Feature Engineering

Classification

ML Modelling

Model Evaluation

Business Problem Solving

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Model Selection Case Study - Telecom Churn

Telecom companies often face the problem of churning customers due to the competitive nature of the industry. Help a telecom company identify customer… Know More

Skills learned

Logistic Regression

Tree Models

Model Selection

Feature Engineering

Classification

ML Modelling

Model Evaluation

Business Problem Solving

Telecom companies often face the problem of churning customers due to the competitive nature of the industry. Help a telecom company identify customers that are likely to churn and make data-driven strategies to retain them from the perspective of a data scientist.

Tree Models

Boosting

Model Selection

Regularization

Feature Engineering

Classification

ML Modelling

Model Evaluation

Business Problem Solving

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Advanced ML Case Study - Telecom Churn

Telecom companies often face the problem of churning customers due to the competitive nature of the industry. Help a telecom company identify customer… Know More

Skills learned

Logistic Regression

Tree Models

Boosting

Model Selection

Regularization

Feature Engineering

Classification

ML Modelling

Model Evaluation

Business Problem Solving

Lexical Processing

Regex

POS Tagging

Dependency Parsing

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Syntactic Processing Assignment

Use the techniques such as POS tagging and Dependency parsing to extract information from unstructured text data. 

Skills learned

Natural Language Processing

Lexical Processing

Regex

POS Tagging

Dependency Parsing

Sqoop

Redshift

Spark

ETL Pipeline

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ETL Project

Make use of Sqoop, Redshift & Spark to design an ETL data pipeline. 

Skills learned

AWS

Sqoop

Redshift

Spark

ETL Pipeline

Analyse movie data from the past 100 years and find out various insights to determine what makes a movie do well. Use data manipulation, slicing, and various other dataframe operations to successfully find usable insights from the movies.

Data Processing

Data Visualisation

Data Analysis

Dashboarding

Data Storytelling

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IPL Visualization Assignment

Analyse movie data from the past 100 years and find out various insights to determine what makes a movie do well. Use data manipulation, slicing, and … Know More

Skills learned

Tableau/Power BI

Data Processing

Data Visualisation

Data Analysis

Dashboarding

Data Storytelling

Linear Regression

ML Model Evaluation

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Advanced Regression

Build a regularized regression model to understand the most important variables to predict 

Skills learned

ML Modeling

Linear Regression

ML Model Evaluation

Hadoop

MapReduce Programming

mrjob

Linux

Sqoop

Apache HBase

SQL

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MapReduce Programming Assignment

Perform MapReduce Programming in a big data environment on a large dataset. 

Skills learned

AWS

Hadoop

MapReduce Programming

mrjob

Linux

Sqoop

Apache HBase

SQL

Big Data with Spark

PySpark

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Big Data Case Study

Understand how a big data project in the industry is taken up and solved through a comprehensive big data case study on cloud. 

Skills learned

AWS

Big Data with Spark

PySpark

Python

Data Analysis

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SQL & Python Lab

Solve intensive programming questions in a competitive lab environment to showcase and evaluate your SQL and Python coding skills. 

Skills learned

SQL

Python

Data Analysis

Understand the factors that drive the Airbnb business and help the team leads tackle problems and bottlenecks through extensive data analysis on UI tools.

Data Storytelling techniques

Data Visualisation

Tableau

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Airbnb Case Study

Understand the factors that drive the Airbnb business and help the team leads tackle problems and bottlenecks through extensive data analysis on UI to… Know More

Skills learned

Data Analysis

Data Storytelling techniques

Data Visualisation

Tableau

Spark

Spark Streaming

Apache Kafka

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Retail Project

Build an end-to-end real-time data processing application using Spark Streaming and Kafka. 

Skills learned

AWS

Spark

Spark Streaming

Apache Kafka

Domain understanding

Data Analysis

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Business Case Study

Understand how data projects are taken up in the industry and implement the steps required to successfully manage and complete a data project. 

Skills learned

Business Problem Solving

Domain understanding

Data Analysis

In this assignment, you will build a complete neural network using Numpy. You will implement all the steps required to build a network - feedforward, loss computation, backpropagation, weight updates etc. You will use the MNIST dataset to train your model to classify handwritten digits between 0-9.

Neural Networks

PyTorch

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NN Assignment

In this assignment, you will build a complete neural network using Numpy. You will implement all the steps required to build a network - feedforward, … Know More

Skills learned

Deep Learning

Neural Networks

PyTorch

Success stories

What our learners have to say

Slide 1 of 5

upGrad's student mentor played a very importany role in my learning journey

upGrad's student mentors played a crucial part in my learning journey. I followed them and they helped a lot in clarifying my queries related to my online data science course. They also gave me placement assistance as a part of my data science course, where they perfectly guide you on how to start a career as a Data Analyst.

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Abhinay Bandaru

Product Analyst, Head Infotech

3 Years of Experience

The upGrad's placement drive helped me to secure a job in MNC

My online data science course's content was so well-structured that it helped me grasp concepts that were entirely new to me. Thanks to upGrad's placement drive, I was able to secure a job at Kantar Analytics.

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Bhagvathi

Data Analyst, Kantar

1 Year of Experience

Additional benifits of upGrad helped a lot in terms of gaining practical exposure

upGrad's online data science courses are truly amazing. The mentorship through industry veterans, BaseCamps, and student mentors makes the programme extremely engaging. I Would definitely endorse the data science programme for its rich content and comprehensive approach to Data Science.

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Moulik Srivastava

Technology Project Manager & Commercial Strategy Associate, Victory Farms

5 Years of Experience

Being online, it was like a university experience

Learning with upGrad for my data science course was like going back to University for me. Their data science certification, career support and mentorship calls really helped me switch to a career in the field of Data Science.

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Atul Agarwal

Data Scientist, Scaler

7 Years of Experience

Structured and easy curriculumn

The curriculum of the data science online course is very structured and easy to consume. The mock calls and encouraging words from the CEO before my interview were extremely encouraging. One of the best online data science course there is in the market

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Aishwarya Ramachandran

News Analyst, Thomson Reuters

6 Years of Experience

Offering

How will upGrad help you?

upGrad stands out as a comprehensive learning platform designed to not only equip you with technical expertise but also provide unmatched career support to accelerate your professional growth.

Career services to propel your growth

    UpGrad Elevate: Participate in virtual hiring drives with 300+ hiring partners, giving you access to top-tier organizations.

    Job Opportunities Portal: Explore a curated selection of 100+ job openings at any given time, exclusively for upGrad learners.

    Career Coaching: Work with a dedicated career coach to refine your profile, track application progress, and achieve career goals.

    Resume Review: Get personalized feedback on your resume to make it stand out to recruiters.

    Mock Interviews: Gain role-specific preparation through mock interviews tailored to company requirements.

    Post-Graduation Support: Continue receiving career guidance even after completing your program, ensuring long-term success.

Data Science blogs

You might like to read

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42 Exciting Python Project Ideas & Topics for Beginners in 2023 [Latest]

Read this guide to learn 42 exciting Python project ideas for beginners that answer some of the most frequently asked queries regarding Python projects.

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Rohit Sharma

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13 Interesting Data Structure Project Ideas and Topics For Beginners [2023]

Check out this guide on the 13 Interesting Data Structure Project Ideas and Topics For Beginners and learn how to implement the knowledge of data structures in developing amazing beginner projects.

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Rohit Sharma

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Excel Free Online Course with Certification [2023]

Learn Excel for free with our online course in 2023 and earn a valuable certification. Master essential Excel skills from home and boost your career today!

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Top 18 Python Pattern Programs You Must Know About

We’ve sorted a list of multiple ideas for pattern printing in Python to start your preparations with multiple kinds of Python pattern programs in this list

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Rohit Sharma

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List vs Tuple: Difference Between List and Tuple

Check out this guide on List vs Tuple where you will learn the most significant differences between these two Python data structures. This guide will provide you a deep insight into the list and tuples in Python.

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Data Science videos

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FAQs on Data Science courses

1. What is the data science course duration?

Generally, the data science course fees and duration vary depending on the program length and institution. 

Here are a few examples of the variation in duration. 

  • Post Graduate Program in Machine Learning and AI: The duration of this PG in data science program is 13 months.
  • Master of Science in Machine Learning and AI: The duration of this MSc data science online course is 19 months.
  • Master of Science in Artificial Intelligence and Data Science: The duration of this data analysis MSc course is 12 months.
  • Post Graduate Certificate in Data Science and AI (Executive): The duration of this data science certification course is 8 months.
  • Professional Certificate Program in AI and Data Science: The duration of this certificate course in data analysis and AI is 6 months.

2. Which are the best data science courses online?

Here’s a list of some of the best online data science courses you can try on upGrad. 

  • Master of Science in Data Science from LJMU: An 18-Month data science online training program designed for those aiming for senior roles. This course offers specializations, including Deep Learning, Natural Language Processing, and Business Analytics. 
  • Post Graduate Program in Data Science and AI (Executive): Developed in association with IIIT-B, this 12-Month data science certificate program provides five specializations, such as Business Intelligence/Data Analytics and Data Engineering, catering to various career goals.
  • Master of Science in Artificial Intelligence and Data Science: This is India’s 1st ever 1-year master’s course from O.P. Jindal Global University. You learn through 15+ capstone and real-world projects and case studies.

3. Can I learn data science in 3 months?

Learning data science fundamentals in 3 months is possible, especially with upGrad’s intensive online bootcamps. However, mastering the field typically requires more time and practical experience. Short-term data science certification programs can provide a solid foundation, but ongoing learning and practice are essential for proficiency.

4. Which degree is best for data science?

Here are some data science degree courses that provide a strong foundation.

  • Bachelor's or Master's in Data Science and Artificial Intelligence
  • Bachelor's or Master's in Computer Science
  • Bachelor's or Master's in Statistics or Mathematics

5. Does data science require coding?

Yes, coding is an essential skill for data science. Proficiency in programming languages like Python, R, or SQL is required for tasks such as data cleaning, analysis, and building machine learning models. 

However, many beginner-friendly courses, like those offered by upGrad, include preparatory modules to help learners with no prior coding experience get started.

6. Who is eligible for data science courses?

Data science qualification depends on the program level, such as a Master’s, PG Diploma, or Certificate course. 

Generally, the following criteria apply.

1. Educational Background

  • A bachelor’s degree is a common prerequisite. Fields like Computer Science, Mathematics, Statistics, or Engineering are preferred for advanced programs.
  • For beginner or foundation data analysis courses online, any educational background is accepted, as these courses are designed to teach fundamentals.

2. Professional Experience

For executive or advanced programs, 1–2 years of relevant work experience in data analytics, IT, or related roles is often preferred.

3. Technical Proficiency

Basic knowledge of programming (Python or R), mathematics, or statistics is beneficial, though many programs offer preparatory modules.

7. Which skill is required for data science?

Data science demands a mix of technical, analytical, and soft skills to succeed. Key skills include the following.

1. Technical Skills

  • Programming Languages: Proficiency in Python, R, or SQL is essential for data manipulation and analysis.
  • Mathematics and Statistics: Understanding concepts like probability, linear algebra, and statistical modeling is crucial.
  • Machine Learning: Familiarity with algorithms such as regression, classification, clustering, and deep learning.
  • Data Visualization: Tools like Tableau, Power BI, or Matplotlib for presenting insights.

2. Analytical Skills

Strong problem-solving ability to interpret data and derive actionable insights.

3. Domain Knowledge

Industry-specific knowledge helps contextualize data and improve decision-making.

4. Soft Skills

Effective communication and storytelling to convey findings to non-technical stakeholders.

8. Is data science a good career?

Data science is one of the most promising and rewarding careers in today’s job market. Here’s why it stands out as a desirable profession.

1. High Demand Across Industries

  • Organizations in nearly every sector, including finance, healthcare, retail, and technology, rely on data science to drive decision-making, optimize operations, and innovate products.
  • The increasing adoption of AI, IoT, and big data analytics further amplifies the need for skilled data scientists.

2. Career Growth and Versatility

  • The best certification for data science by upGrad offers tremendous scope for advancement, with opportunities to specialize in machine learning, deep learning, natural language processing, or big data.
  • The field’s interdisciplinary nature allows professionals to move across domains, adding to its appeal.

9. What is a data scientist’s job salary?

The salary of a data scientist varies based on factors like experience, location, and industry. Here’s a detailed breakdown:

  • Entry-Level Salaries: Fresh graduates or professionals with 0–1 years of experience typically earn INR 6–15 LPA in India.
  • Mid-Level Salaries: With 4–6 years of experience, data scientists can earn INR 10–22 LPA in India.
  • Senior-Level Salaries: 15+ Years experienced professionals or those in leadership roles earn INR 12-35 LPA in India.

Source: Glassdoor

10. What are data science master’s programs’ fees?

The cost of data analytics master’s programs varies depending on the program's level, duration, and institution. Here’s a comparison of upGrad’s Master’s programs.

  • Master of Science in Artificial Intelligence and Data Science from O.P. Jindal Global University | 12-Month Course: INR 2,75,000
  • MS in Data Science From Liverpool John Moores University | 18- Month Course: INR 4,99,000

11. How much does an online data science PG program cost in India?

The cost of online postgraduate (PG) data science programs varies based on the program’s duration. 

Here’s a comparison of upGrad’s PG programs.

  • Post Graduate Certificate in Data Science and AI (IIIT Bangalore) | 8-Month Course: INR 1,80,000
  • Post Graduate Program in Data Science and AI (Executive) | 12-Month Course: INR 2,99,000

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1.upGrad does not grant credit; credits are granted, accepted, or transferred at the sole discretion of the relevant educational institution offering the diploma or degree. We advise you to enquire further regarding the suitability of this program for your academic, professional requirements and job prospects before .