Python for Data Science

Description

Course Objectives

  • Learn how to use data science with Python.
  • Create data pipeline workflows to analyze, visualize, and gain insights from data.
  • Build a portfolio of data science projects with real world data.
  • Analyze your own data sets and gain insights through data science.
  • Master critical data science skills.
  • Replicate real-world situations and data reports.
  • Learn NumPy for numerical processing with Python.
  • Conduct feature engineering on real world case studies.
  • Learn Pandas for data manipulation with Python.
  • Learn Matplotlib to create fully customized data visualizations with Python.
  • Learn Seaborn to create beautiful statistical plots with Python.
  • Construct a modern portfolio of data science resume projects.
  • Get set-up quickly with the Anaconda data science stack environment.

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