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Course Description

Learn 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.

Course Outline

  • 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.

Prerequisites

Introduction to Python, LIX0001
Intermediate Python, LIX0002

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