To round out your exploration of data science in Python, in this course, you'll work with the pandas DataFrame—one of the most prominent data structures in data science. You'll create DataFrames, load and save data, analyze data, and slice and filter data in DataFrames. Then, you'll manipulate, modify, and plot DataFrame data. Lastly, you'll work with specialized plotting libraries Matplotlib and Seaborn to create common types of plots and format those plots so they are visually appealing and optimal for analysis.
This is the third and final course in a multi-course Specialization.
All of the courses in this Specialization require that you use the provided virtual machine, which includes an installation of Python and data science libraries. The course setup instructions provided in the first course go into more detail about the hardware and software requirements.
Overview
Syllabus
- Managing and Analyzing Data with pandas
- While NumPy serves as the foundation of your data science tasks, you may instead work directly with the more user-friendly library called pandas, which builds on NumPy. Or, you may find it beneficial to work with both. In either case, as with NumPy, you'll want to begin by managing your data within pandas structures and then analyze that data for useful insights.
- Transforming and Visualizing Data with pandas
- The pandas libraries provides many tools for changing data to meet your needs. It also provides basic plotting functionality for the analysis and/or presentation of data. In this lesson, you'll transform and visualize your data in multiple ways.
- Visualizing Data with Matplotlib and Seaborn
- Although you did some simple plotting with pandas directly, you'll likely need to get more detailed with your visualizations. Matplotlib is the most common plotting library in Python®, and you'll use it to generate visualizations that help you tell a story with your data. Likewise, you'll use the Seaborn library, which is built on Matplotlib, to help you streamline your plotting efforts.
- Completing the Course
- You'll wrap things up and then validate what you've learned in this course by taking an assessment.
Taught by
Bill Rosenthal
