ABOUT THIS LEARNING PATH

In these data science courses, you’ll learn how to use the Python language to clean, analyze and visualize data. Through our guided lectures and labs, you’ll get hands-on experience tackling interesting data problems. This is an action-packed learning path for data science enthusiasts who want to work with real world problems using Python. Make sure to take this learning path to solidify your data skills in Python, before diving into machine learning, big data and deep learning in Python.

TELL YOUR FRIENDS

AUDIENCE:

Beginners in Data Science, Python Enthusiasts

LEARNING PATH LEVEL:

Beginner

4 BADGES

3 COURSES

Featured Courses

Python for Data Science

Python for Data Science

About the course
This beginner-friendly Python course will take you from zero to programming in Python in a matter of hours. You'll be able to write your own Python scripts and perform basic hands-on data analysis using our Jupyter-based lab environment.
Data Analysis with Python

Data Analysis with Python

About the course
earn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more!
Data Visualization with Python

Data Visualization with Python

About the course
Data visualization is the graphical representation of data in order to interactively and efficiently convey insights to clients, customers, and stakeholders in general. It is a way to summarize your findings and display it in a form that facilitates interpretation and can help in identifying patterns or trends. In this Data Visualization with Python course, you'll learn how to create interesting graphics and charts and customize them to make them more effective and more pleasing to your audience.

Complete the Applied Data Science with Python Learning path

BADGE: Applied Data Science with Python

Our learning paths are designed to build on the content learned in the first course and then build upon the concepts in courses that follow. We recommend that they are completed in the order outlined in this learning path to ensure you get the most out of your investment of time. If you like what you see here, come and discover other learning paths and browse our course catalog.