learning path

Practical Data Science with Python

This course explores the world of data science and gives you hands-on, practical tutorials on how to use Python at an advanced level.

Difficulty: Advanced

Duration: Up to 13 hours and 32 minutes

Students: 3,059

Rating: 4/5

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9 steps

There are 5 Courses in this learning path

There are 3 Hands-on Labs in this learning path

There is 1 Exam in this learning path

COURSE

Intermediate

Duration: 57 minutes and 22 seconds

Practical Data Science With Python

This lesson explores what data science is, before moving onto how to use Python in a data science context.

COURSE

Advanced

Duration: 49 minutes and 22 seconds

Working with Python

This Lesson explores a variety of Python features in a hands-on way, including functions, loops, dictionaries, and flow control.

HANDS-ON LAB

Beginner

Duration: Up to 2 hours

Practical Data Science: Introduction to Python

This Lab provides you with a Jupyter notebook that introduces you to basic concepts in Python by explaining concepts and letting you write and run Python code.

COURSE

Advanced

Duration: 59 minutes and 2 seconds

Statistics and NumPy

This Lesson delves into the theories across the topics of statistics, distributions, and standardization, as well as the NumPy library.

HANDS-ON LAB

Beginner

Duration: Up to 4 hours

Python Development Playground

This Python development playground provides you with a ready-to-use in-browser Python integrated development environment (IDE) to easily play with Python.

COURSE

Intermediate

Duration: 57 minutes and 18 seconds

Working with Pandas

This Lesson explores Pandas and shows you how it can be used as a powerful data manipulation tool.

HANDS-ON LAB

Beginner

Duration: Up to 2 hours and 30 minutes

Using Python to Cleanse and Rationalize Data Challenge

You will put your basic knowledge of Python to work in this lab challenge in order to perform a simple form of data cleansing on text.

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