Thanks to theidioms.com

Home

Learn data science

Study through a pre-planned curriculum designed to help you learn the A-Z of data science with Python.
about-us-02-image-box-01

Updated course content for 2020

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 2020.
about-us-02-image-box-02

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.
about-us-02-image-box-03

All inclusive platform

The Click Reader is an all inclusive platform that provides quality educational content to data science aspirants all around the world no matter their gender, race, etc.

Become a Data Scientist

Your data science specialization journey

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

Month 1: Fundamentals of Python for Data Science
Month 2: Supervised Machine Learning and Deep Learning
Month 3: Convolutional Neural Network and TensorFlow 2.0

0
Courses
0 +
Hours of content
0 +
Well-curated lessons
0 %
Skill upliftment
Join our community of data science aspirants and get more perks.
Home

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

Home

Get Started

Start your 3-month journey

Free
$0.00

Learn Python for Data Science (Course I)

Learn how to install Python in your system and start writing object-oriented code within a week. …

10 Lessons
1 week
Free
$0.00

Learn NumPy for Data Science (Course II)

Learn how to work with numbers and arrays in Python using NumPy. …

7 Lessons
1 week
Free
$0.00

Learn Matplotlib for Data Science (Course III)

Learn how to create various kinds of data visualizations in Python using Matplotlib. …

8 Lessons
1 week
Free
$0.00

Learn Pandas for Data Science (Course IV)

Learn how to work with excel sheets in Python using Pandas. …

8 Lessons
1 week
Free
$0.00

Analyzing the sinking of the Titanic – Data Analysis with Python (Course V)

Learn how to perform Exploratory Data Analysis using Python. …

8 Lessons
1 week
Free
$0.00

Supervised Machine Learning with Python (Course VI)

Learn to build multiple types of Machine Learning models using Python. …

19 Lessons
2 week
Free
$0.00

Deep Learning Theoretical Course (Course VII)

Learn all the theory behind building a Dense Neural Network. …

8 Lessons
2 week
Free
$0.00

Convolutional Neural Network Theoretical Course (Course VIII)

Learn all the theory behind building a Convolutional Neural Network. …

10 Lessons
2 week
Free
$0.00

TensorFlow 2.0 for Deep Learning (Course IX)

Learn how to build your own Deep Learning models in Python using TensorFlow 2.0. …

9 Lessons
2 week
Free
$0.00

Learn Linear Algebra for Data Science (Mini-Course)

Take this mini-course to go through a quick refresher on the basic concepts of Linear Algebra. …

6 Lessons
2 hour
Free
$0.00

Time-Series Forecasting with TensorFlow 2.0

Learn how to build powerful time-series forecasting model of your own using various kinds of deep learning algorithms. …

8 Lessons
2 week
Home
Or, are you looking to recruit a data science team for your business?
Hire us at just $25/hr.

Or, are you looking to hire a data science team for your business?

Home

Our mission is to upskill the next generation of innovators in leveraging the benefits of data science.

Pragyan Subedi

/ CEO at Kharpann

A breed of people who love working with data.

Home

Data-driven decision making

We balance the charm of data science with its impact through the businesses we work with.

Merishna S. Suwal

/ CTO at Kharpann

Work with our team

We can build solutions for you.

We are a team of data scientists dedicated to changing how customers experience technological products with the help of data science.

The Click Reader is supported through the projects that we build for businesses like yours. Let’s work together and create an impact.

Subscribe Newsletters

Enter your email address to register to our newsletter subscription
delivered on a regular basis!

Close Bitnami banner
Bitnami