Mastering Data Analysis with Pandas: Learning Path Part 2

Offered By
Coursera Project Network
In this Guided Project, you will:

Master data analysis and manipulation in Pandas and Python

Define and manipulate Pandas DataFrame

Label-based and integer-based DataFrame indexing

Clock2 hours
BeginnerBeginner
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

In this structured series of hands-on guided projects, we will master the fundamentals of data analysis and manipulation with Pandas and Python. Pandas is a super powerful, fast, flexible and easy to use open-source data analysis and manipulation tool. This guided project is the second of a series of multiple guided projects (learning path) that is designed for anyone who wants to master data analysis with pandas. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Skills you will develop

Data AnalysisPython ProgrammingData ManipulationPandas

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Introduction to Pandas DataFrame Fundamentals

  2. Read CSV and HTML data

  3. Write DataFrame into CSV

  4. Setting/Resetting Pandas Index

  5. Select Columns from a DataFrame

  6. Add/Delete DataFrame Columns

  7. Label-based DataFrame Elements Selection

  8. Integer-based DataFrame Selection

  9. Broadcast Operations

  10. Sorting and Ordering

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Frequently asked questions

Frequently Asked Questions

More questions? Visit the Learner Help Center.