Introduction to Data Analysis with Pandas and NumPy

Learn the data analysis process of questioning, wrangling, exploring, analyzing, and communicating data. You will work with data in Python using libraries like NumPy and pandas.

• The Data Analysis Process
• Learn about the data analysis process and the Python packages used in this course
• Jupyter Notebooks
• Jupyter Notebooks are a great tool for sharing insights and visualizations alongside your code. This lesson covers how to create them and utilize their various features.
• Exploring and Inspecting Data
• Use the pandas library to load data, view its properties, and start asking data analysis questions
• Manipulating Data using Pandas and NumPy
• Use the pandas library to perform data cleaning, filtering, and reshaping tasks. This includes troubleshooting issues with data as well as optimizing for memory usage and speed.
• Communicating Results
• Draw conclusions and communicate results to stakeholders by calculating statistics and creating basic data visualizations with the pandas library
• Investigate a Dataset
• Choose one of Udacity's curated datasets, perform an investigation, and share your findings.