Embark on a 30-day Python-based data analytics crash course designed to equip you with essential skills. Learn to install Python and Jupyter, navigate the Jupyter environment, locate data sources, and utilize APIs. Gain proficiency in data manipulation, plotting, and interpretation. Access course materials on the provided website and GitHub repository. Developed by David Clinton, this comprehensive program covers key topics including Python basics, data sourcing, manipulation, visualization, and analysis. Follow along with time-stamped video segments for a structured learning experience. By the end of the course, confidently work with data sources and leverage Jupyter to extract valuable insights from your data.
Overview
Syllabus
) Installing Python and Jupyter .
) Working with the Jupyter environment.
) Finding data sources and using APIs .
) Working with data .
) Plotting data .
) Understanding data .
Taught by
freeCodeCamp.org
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