Section 1: Data Analysis Essentials

In this section, we will learn how to speak the language of data by extracting useful and actionable insights from data using Python and Jupyter Notebook. We'll begin with the fundamentals of data analysis and work with the right tools to help you analyze data effectively. After your workspace has been set up, we'll learn how to work with data using two popular open source libraries available in Python: NumPy and pandas. This will lay the foundation for you to understand data so that you can prepare for Section 2: Solutions for Data Discovery.

This section includes the following chapters:

• Chapter 1, Fundamentals of Data Analysis
• Chapter 2, Overview of Python and Installing Jupyter Notebook
• Chapter 3, Getting Started with NumPy
• Chapter 4, Creating Your First pandas DataFrame
• Chapter 5, Gathering and Loading Data in Python