SkillSoft Explore Course – Lambers, Inc.

IT Skills Data and Databases Data Science Analyzing Data Using Python

You can analyze a myriad of data formats through pandas - all you need to know is how. In this course, you'll bring various data types into pandas and perform several operations on the data.

You'll practice using common file types such as CSV, Excel, JSON, and HTML through pandas. You'll not only learn how to open and read files of different types, but you'll also serialize objects and copy them to the in-memory clipboard.

You'll move on to perform various fundamental operations on DataFrame objects. Lastly, you'll learn to compute basic statistics, access metadata, and modify and sort data in rows.

Asset ID	it_daavlpdj_02_enus
Course Type	Video Course
Course Category	Data and Databases

Objectives
Analyzing Data Using Python: Importing, Exporting, & Analyzing Data With Pandas discover the key concepts covered in this course import and export data in CSV files import and export data using HTML and JSON files serialize data to Excel and Pickle files perform basic data manipulation operations on DataFrames explore and edit data in DataFrames sort records based on column values compute basic statistics on data stored in DataFrames compute statistical summaries on data stored in DataFrames summarize the key concepts covered in this course

Objectives

Analyzing Data Using Python: Importing, Exporting, & Analyzing Data With Pandas

discover the key concepts covered in this course
import and export data in CSV files
import and export data using HTML and JSON files
serialize data to Excel and Pickle files
perform basic data manipulation operations on DataFrames
explore and edit data in DataFrames
sort records based on column values
compute basic statistics on data stored in DataFrames
compute statistical summaries on data stored in DataFrames
summarize the key concepts covered in this course