Welcome to the Data Analysis Process

This is the first part of a three-lesson series on Python for Data Analysis. In this lesson, you will learn about the data analysis process and practice investigating different datasets with Python and pandas. In the next two lessons, you will perform case studies where you will thoroughly analyze two datasets and learn more about NumPy, Pandas, and Matplotlib.

This lesson is aimed at helping you quickly understand what happens at each step in the data analysis process. Though you will do a bit of coding just to build your intuition, a deeper dive of each individual topic is provided throughout the rest of this data analysis program.

Programming and Python

These lessons require some familiarity with Python. Here are some awesome free courses you can take to learn or refresh your programming and Python skills!

• Introduction to Python Programming
• Intro to Computer Science
• Programming Foundations with Python

Other Helpful Resources

• NumPy and Pandas by Udacity to learn all about using NumPy and pandas.
• Python for Data Analysis is one of the best resources for learning NumPy , Pandas , and Matplotlib , as it was written by the creator of the libraries you will be learning about, Wes McKinney. This is an exhaustive guide to using these libraries. Personally, I own two copies: one for work and one for home.

You will be putting these skills to use throughout the rest of this nanodegree program.