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Data Science with Python Path

In this path, you'll start with learning Python and brushing up on mathematical topics like probability and statistics required for Data Science. Next, you'll learn some of the core concepts of Data Science like how to perform hypothesis testing, how to perform analysis on networks, implement machine learning algorithms and so on. This path takes you from a complete beginner to a Data Science Practitioner with resume-worthy portfolio projects.

Next steps for you:

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Path Stats

This path consists of:

3 Courses

35 Tutorials

Additional resources for Pro subscribers:

6 Projects

16 Quizzes

Certificate of Completion

1

This is a 22-part course which will teach you Python 3 from scratch. It's designed to be very hands-on, and each new concept is followed with demonstrations, examples and exercises. You don't need to have any previous knowledge of programming or Python! Here's a brief description of what you should expect from this course: The first few tutorials cover basic Python concepts like strings and lists.

Syllabus

Code Editor
2 mins
Introduction to the Command-line Interface
10 mins
Python3 Installation
6 mins

2

Linear Algebra, Statistics and Probability (Review)

In this course, you will review the mathematics background required for data science, machine learning and deep learning. The first 2 tutorials (+1 quiz) are a review of linear algebra and statistics . The 3rd tutorial (+1 quiz) is a review of probability . These tutorials are meant to be a short review, they might feel rushed if you have never encountered these topics before.

3

Learn Data Science with Python

This 30-part course consists of tutorials, quizzes, hands-on assignments and real-world projects to learn data science, as well as advanced python tools for data science. You can think of this list as a "Free Online Nano Book". What is Data Science? Why Data Science? Trillions of gigabytes of data is being produced yearly, and the number is still growing exponentially. It is estimated that for eve