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Learn data science

The Click Reader is an education platform, focused on providing data science education to students all around the globe.

Learn data science

Study through a pre-planned curriculum designed to help you learn the A-Z of data science with Python.
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Updated course content for 2021

All of our courses have been updated to suit the rapidly growing needs of an enthusiast who wants to learn data science for the first time in 2021.
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On-demand resources

All of our resources are hosted on the web making it easy for students to access them at any time from their smartphone, desktop or laptop.
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Taught by Industry Experts

All courses on The Click Reader are taught by industry experts who have multiple years of experience building data science solutions for real-world businesses.

Everything you need

A large collection of Data Science courses

Explore well-curated courses on Data Science, Machine Learning, and Artificial Intelligence.

The Click Reader is a one-stop solution for anyone looking to upskill themselves as a data scientist.

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Join our vibrant community of data science aspirants and get more perks.

Sign up with your email and get an invite for Slack.

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Join our community of data science aspirants and get more perks.
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Sign up with your email and get an invite for Slack.

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Become a full-fledged data scientist

Start your Data Science Journey

MODULE 1

Fundamentals of Programming

Learn Python programming along with its libraries to create a concrete base for understanding and implementing data science concepts.

MODULE 2

Become a Full Stack Data Scientist

Dive straight into the world of data science by working on becoming a Full-stack Data Scientist.

LEARNING OBJECTIVES

The resources in this learning module will help you to:

  • Understand why the 'Full Stack Data Scientist' role is now popular among organizations.
  • Learn how to engineer, analyze, model and deploy data models as a Full Stack Data Scientist.
  • Learn the basic concepts of Linear Algebra.
  • Understand the inner-workings of multiple Machine Learning algorithms.
  • Use Python programming and the scikit-learn library for Machine Learning.
  • Perform Natural Language Processing on text-based data.
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Need help learning?

Join the TCR community

We are a vibrant group of people looking to exchange knowledge and information; all for bringing out the best in each other.

Once you join the community, you will be able to ask questions, connect with new people and get feedback on your projects. Sign up with your email and get an invite for Slack.

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