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Learn the A-Z of Data Science with The Click Reader

Learn the A-Z of Data Science
Study through a pre-planned curriculum of multiple data science courses designed for people who are looking to start out or transition into the data science industry.
MODULE 1

Fundamentals of Programming

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

The resources in this learning module will help you understand the fundamentals of how to code with Python. You will then learn how to perform numerical operations on data using NumPy and data manipulation using Pandas. Then you will learn how to visualize data and create interactive visualizations using Bokeh and Matplotlib. Finally, you will work on a real-life dataset and perform Exploratory Data Analysis using Python.

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.

The resources in this learning module will help you in understanding why the 'Full Stack Data Scientist' role is now popular among organizations. You will learn how to engineer, analyze, model and deploy data models as a Full Stack Data Scientist. You will also gain a good understanding of the basic concepts of Linear Algebra along with the inner-workings of multiple Machine Learning algorithms. This module will also guide you on how to use Python programming and the scikit-learn library for Machine Learning. Finally, you will work on text-based data to perform Natural Language Processing.

MODULE 3

Build Data Models using Deep Learning

Learn about the most important concepts in Deep Learning in detail.

The resources in this learning module will help you learn the theoretical concepts behind Deep Learning. Upon completion of this module, you will be able to understand the architecture and network that build up Convolutional Neural Networks and build Deep Learning models using TensorFlow, TensorFlow JS, and Python. You will also gain a concrete understanding on how to build powerful time-series forecasting model using Deep Learning in Python.

MODULE 4

Work on Real-world Projects

Learn about the most important concepts in Deep Learning in detail.

The resources in this learning module will help you to perform sports analytics and visualization. You will learn how to implement data science for Business Analytics and Intelligence and understand how data science can be used for e-commerce. Upon completion of this module, you will have an understanding of how companies like Netflix, Amazon, etc. build recommender systems and perform customer analytics for knowing about their customers in detail.