Course DescriptionLearn data manipulation and cleaning techniques using the pandas data science library. Understand the fundamentals of data visualization. Create data based models using basic machine learning techniques.
- Describe Python functionality and features used in Data Science. Intro to Numpy (Numerical Python) and Matplotlib (data visualization).
- Intro to Pandas data structures. Process data and handle missing data with the pandas DataFrame. Reading and writing csv, and excel files.
- More Pandas. Learn how to use the functions merge, join, groupby and pivot tables. Apply lambdas. Explore simple statistical function such as mean, mode, standard deviation and more.
- Create models based on data using basic machine learning techniques such as Linear Regression and Logistic Regression.
Introduction to Python, LIX0001
Intermediate Python, LIX0002