Python Data Science: pandas, Matplotlib, and Seaborn

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

• Manage, analyze, manipulate, and visualize pandas DataFrames
• Create, load, and save DataFrames
• Filter and analyze data within DataFrames
• Visualize data using Matplotlib and Seaborn

• Basic computer and internet skills
• Ability to read course instructions in English and complete short practice activities