This introduction to data wrangling, and data analytics will show you the data analysis capabilities offered by the Python Pandas software library. This course is for those who have some Python knowledge. It covers the basics of data import, export, cleaning, analyzing and visualizing data.
This course introduces Pandas. You'll learn how to filter, group and match data. Then you can move on to more advanced functions such as normalizing and analyzing trends. You will also learn some cool skills such as web scraping, working in API data, fuzzy matching and multiprocessing, as well as analyzing code performance.
- Learn the basics of Python data manipulation and analysis
- Learn more about Pandas and how to use it as a data analysis tool.
- Learn how to pull data from different sources (Excel CSV PDF, APIs, etc.).
- Learn how to use web scraping to decode and encode.
- Learn how to use RegEx and fuzzy matching to clean and identify data
- Other data analysis tools, such as Numpy and natural language processing, are available to you.
- Learn about the data visualization capabilities offered by Matplotlib or Bokeh
Katharine Jarmul is the founder of kjamistan UG. This company specializes in Python consulting, training, and competitive analysis. It is based in Berlin. While working at the Washington Post, she learned Python in 2008. She is also co-author of Data Wrangling with Python: Tips & Tools to Make Your Life Easier. Jarmul, originally from Los Angeles, earned an M.A. American University and an M.S. Pace University
