Data Science

Data Science course helps you understand and use data in a meaningful way. This course teaches data handling, statistics, and machine learning so you can uncover insights and apply them to real-world problems.

Certificate in Data Science courses with GenAI integrated curriculum

Get to study with top-tier faculty at IIIT Bangalore and LJMU

Learn Python, Machine Learning, AI, Tableau, and SQL designed for industry needs

Online Data Science Course

Career Support

57% Avg Salary Hike

Career Coaching

Start Learning Data Science Courses For Free

Begin your Data Science course journey with our free courses, a perfect starting point before the full data science certification course.

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Our Data Science Courses are Accredited
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Learn by Doing Data Science Course Projects

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What Our Learners Have To Say

How can upGrad support you?

Access the various career developement support services offered by upGrad to help you achieve your dream data science career and professional goals

Student Support

    You can write to us via studentsupport@upgrad.com or for urgent queries use the " Talk to Us" option on the learning platform

    We are always there to support our online data science course learners on demand.

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What You'll Learn in upGrad’s Data Science Course?

upGrad’s data science course covers everything you will need, from concepts you need as a foundation to tools you require in the industry. If you are going for a Data Science course, you will get applied knowledge to ready yourself for a data-driven world.

What Topics are Covered in an Data Science Course?

Here’s what most data science courses teach, whether you're pursuing a data analytics course, a data engineer course, or an advanced data science course:

  • Statistics & Probability
  • Machine Learning (ML)
  • Big Data & Data Engineering
  • Business Analytics & Problem Solving
  • Data Visualization
  • Generative AI & Deep Learning
  • Domain-Specific Case Studies
  • Natural Language Processing (NLP)
  • Capstone Projects

Which Tools and Programming Languages are taught (Python, SQL, etc.)?

Tools and programming languages taught in a data science course and a data science training program include

  • Python - The core programming language for the majority of data science training and machine learning activities.
  • R - Used extensively in data analysis certification programs for statistical computing and data visualization.
  • SQL & NoSQL - Used to manage structured and unstructured data efficiently.
  • Excel & Power BI - Necessary for data exploration, dashboarding, and business reporting.
  • Tableau - Popular data visualization tool covered in most data analytics certification courses with placement.
  • Scikit-Learn - A trusted library to train and build machine learning models in Python.
  • TensorFlow - Used in nearly all AI data science instruction for deep learning and neural networks.
  • Keras - High-level API for constructing deep learning models quickly, typically used with TensorFlow.
  • PyTorch - Deep learning framework flexible and used extensively for research and production.
  • NLTK - Essential toolkit for text pre-processing and language comprehension in NLP projects.
  • SpaCy - Industrial-strength NLP library for parsing, tokenization, and named entity recognition.
  • Hugging Face - Pre-trained transformer model open-source hub for BERT and GPT.
  • Hadoop - Distributed storage and processing framework for big data sets.
  • Apache Spark - Utilized for big data analytics and real-time data processing at a large scale.
  • Apache Kafka - A real-time data processing and big data analytics used messaging system.
  • Hive - Data warehouse software that allows querying and big data analysis

How upGrad’s Data Science course different from others?

If you're comparing data science course , you're probably wondering - why upGrad? Well, upGrad’s programs aren’t just about watching videos and taking tests. upGrad programs built with real career outcomes in mind. From industry-ready tools to globally recognized certifications, personalized mentorship, and hands-on projects, every part of the journey is designed to get you job-ready.

Here is what makes upGrad unique from others,

Feature

upGrad Data Science Course

Other Data Science Course

Industry-Relevant Curriculum

Updated regularly with AI, ML, and Generative AI modules

Often follows a fixed curriculum

Flexibility

Self-paced learning with live sessions

Fixed schedules, less flexibility

Global Exposure

Access to international faculty and peers

Limited international exposure

Project-Based Learning

Hands-on projects, case studies, and capstone projects

Fewer or no real-world projects

Mentorship

One-on-one mentorship from industry experts

Generalized guidance

Placement Support

Dedicated career services, job fairs, and interview preparation

Minimal or no career support

Affordability

Competitive pricing with flexible payment options

Higher tuition fees with fewer payment options

Duration

From shorter to intensive courses

Longer, traditional programs

Peer Network

Strong alumni network and global community

Smaller or local networks

Data Science FAQs

A Data Science course teaches you how to work with data to find useful insights that help in decision-making. It combines concepts from maths, statistics, AI, and computer science to understand and analyze large amounts of data.

upGrad Learner Support

Talk to our experts. We are available 7 days a week, 9 AM to 12 AM (midnight)

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Disclaimer

  1. This program does not constitute a dual, joint, or twinning degree program 

  1. upGrad does not grant credit; credits are granted, accepted or transferred at the sole discretion of an educational institution. upGrad is not a college or university in itself. The Universities providing the prog.