Python for Data Analysis: Pandas & NumPy

86 ratings
Offered By
Coursera Project Network
3,129 already enrolled
In this Guided Project, you will:

Understand python programming fundamentals for data analysis

Define single and multi-dimensional NumPy arrays

Import HTML data in Pandas DataFrames

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

In this hands-on project, we will understand the fundamentals of data analysis in Python and we will leverage the power of two important python libraries known as Numpy and pandas. NumPy and Pandas are two of the most widely used python libraries in data science. They offer high-performance, easy to use structures and data analysis tools. 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 Science
  • Data Operations
  • Data Analysis
  • Python Programming

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. Task #1: define single and multi-dimensional NumPy arrays

  2. Task #2: leverage NumPy built-in methods and functions

  3. Task #3: perform mathematical operations in NumPy

  4. Task #4: perform arrays slicing and indexing

  5. Task #5: perform elements selection (conditional)

  6. Task #6: understand pandas fundamentals

  7. Task #7: pandas with csv and html data

  8. Task #8: pandas operations

  9. Task #9: pandas with functions

  10. Task #10: perform sorting and ordering in pandas

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




View all reviews

Frequently asked questions

Frequently Asked Questions

More questions? Visit the Learner Help Center.