Bite-Sized Data Science with Python and Pandas: Introduction
Follow along as we analyze a real-life dataset and learn data science with Python and Pandas
Description
Learn the basics of data science with Python, with this short course designed for students to follow along, and built around a concrete, real-world dataset.
Listening to theoretical examples is never fun, and I've always liked actually applying what I learn to concrete examples, so this course is built around us analyzing a real-life dataset together. The dataset we'll be using is the "Parkinson's Disease Telemedicine dataset", and our goal will be to see if we can predict the severity of Parkinson's Disease in patients from just a dozen simple measurements, which would be a vast improvement over the current time consuming process that doctors and patients have to go through.
This course will provide a good introduction to several different aspects of data science, and all in Python, one of the most popular and powerful languages used by data scientists today.
You'll learn how to:
- Set up your data analysis research environment (in an iPython notebook)
- Visualize the data to understand it better
- Manipulate and transform data to prepare it for modeling
- Apply a statistical model to the data
The course is comprised of short lectures which walk you through the data analysis, as you follow along. There are also several coding exercises throughout to test your knowledge!
Check out the course to learn data science with Python today!
What You Will Learn!
- Manipulate and transform data series and tables in Python
- Build a multiple regression model in Python
- Use iPython Notebook for research and analysis in Python
- Visualize data to glean insights from it, in Python
Who Should Attend!
- This course is best suited for students who already have a basic understanding of both Python and statistics
- This course is for students who like learning with real-life, concrete examples, and following along by programming on their own computers
- This course is for students who want to learn the basics of data manipulation and visualization, and statistical model building in Python