Python Libraries – Numpy and Pandas

Wishlist Share
Share Course
Page Link
Share On Social Media

About Course

A significant part of data science work is centered around finding apt data that can help you solve your problem. So, one should then proceed to know how to manipulate data using advanced python packages and libraries. In this course, you will learn how to go from dirty data to ready-to-analyze data, numpy and pandas are the most used python libraries.

What Will You Learn?

  • In this course, you will learn about
  • Understanding Numpy Arrays
  • Selecting, Filtering and Updating Data
  • Manipulating data with Numpy
  • Array mathematics
  • Array transformations
  • Introduction to DataFrame, inspecting and sorting
  • Aggregating DataFrames
  • Slicing and Indexing DataFrames
  • Creating and Visualizing DataFrames
  • All concepts will be taught using small exercises.
  • You will learn about
  • Numpy, Pandas, Data manipulation
  • In the end, you will be able to
  • Manipulate data using Numpy and Panda

Course Content

Data manipulation using Python libraries

  • Understanding Numpy Arrays
    00:00
  • Selecting, Filtering and Updating Data
    00:00
  • Manipulating data with Numpy
    00:00
  • Array mathematics
    00:00
  • Array transformations
    00:00
  • Introduction to Data Frame, inspecting and sorting
    00:00
  • Aggregating DataFrames
    00:00
  • Slicing and Indexing DataFrames
    00:00
  • Creating and Visualizing DataFrames
    00:00