Data Cleaning with Python and Pandas

Data is ubiquitous. Pre-processing data allows businesses to avoid poor analysis, conclusions, and predictions that maximize the impact of data-driven decisions. In this workshop, we’ll cover the basics of cleaning data using Python and Pandas. You’ll learn how to:

• Use common Python methods for data science
• Pull a dataset and import into Spyder
• Create a Pandas dataframe
• Cleanse and prepare your data for analysis
• Export newly processed data to CSV

What you'll need

• Python3
• Git
• Anaconda

Dataset

• Kaggle's Novel Corona Virus 2019 Dataset https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset

Resources

• Slides