Python has risen to popularity as one of the most versatile and beginner-friendly programming languages. Its simplicity, readability, and extensive libraries make it a powerful language for a wide variety of different domains. It's widely used in web development, data analysis, scientific computing, artificial intelligence, and automation. Python's versatility and large community support make it an excellent language to kickstart your programming journey. This course offers a hands-on approach to building your Python skills through a series of practical projects from scratch. Hone your expertise in areas such as data analysis, machine learning, web scraping, and more.



Skill Up with Python: Data Science and Machine Learning Recipes

Instructor: Pearson
Access provided by Academy of Public Administration
Recommended experience
What you'll learn
Perform Sentiment Analysis on real-world text
Work with Image Recognition Tools
Scrape Basic Data from Websites
Skills you'll gain
Details to know

Add to your LinkedIn profile
5 assignments
September 2025
See how employees at top companies are mastering in-demand skills

There is 1 module in this course
This module introduces essential Python tools and techniques for data science and machine learning through hands-on projects. Learners will manipulate and visualize data in Jupyter Notebooks, perform sentiment analysis with NLTK, recognize images using OpenCV, and scrape web data with Beautiful Soup. Each lesson builds practical skills for real-world applications, helping students create portfolio-ready projects and prepare for careers in data science and machine learning.
What's included
21 videos5 assignments
Why people choose Coursera for their career









