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Lynda - Python for Data Science Essential Training - 520233
Lynda - Python for Data Science Essential Training
By using Python to glean value from your raw data, you can simplify the often complex journey from data to value. In this practical, hands-on course, learn how to use Python for data preparation, data munging, data visualization, and predictive analytics. Instructor Lillian Pierson, P.E. covers the essential Python methods for preparing, cleaning, reformatting, and visualizing your data for use in analytics and data science. She helps to provide you with a working understanding of machine learning, as well as outlier analysis, cluster analysis, and network analysis. Plus, Lillian explains how to create web-based data visualizations with Plot.ly, and how to use Python to scrape the web and capture your own data sets.


Table of Contents

  • Introduction
  • 1. Data Munging Basics
  • 2. Data Visualization Basics
  • 3. Basic Math and Statistics
  • 4. Dimensionality Reduction
  • 5. Outlier Analysis
  • 6. Cluster Analysis
  • 7. Network Analysis with NetworkX
  • 8. Basic Algorithmic Learning
  • 9. Web-based Data Visualizations with Plotly
  • 10. Web Scraping with Beautiful Soup
  • Conclusion
  • Lynda - Python for Data Science Essential Training


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