[ FreeCourseWeb.com ] Data Wrangling with Pandas



Download More Latest Courses Visit -->> https://FreeCourseWeb.com







MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch

Difficulty: Intermediate | Genre: eLearning | Language: English | Duration: 8 Lectures (1h 7m) | Size: 1.1 GB

Description

In this course, we are going to explore techniques to permit advanced data exploration and analysis using Python. We will focus on the Pandas library, focusing on real-life case scenarios to help you to better understand how data can be processed using Pandas.



In particular, we will explore the concept of tidy datasets, the concept of multi-index, and its impact on real datasets, and the concept of concatenating and merging different Pandas objects, with a focus on DataFrames. We’ll look at how to transform a DataFrame, and how to plot results with Pandas.



Learning Objectives

Learn what a tidy dataset is and how to tidy data

Merge and concatenate tidy data

Learn about multi-level indexing and how to use it

Transform datasets using advanced data reshape operations with Pandas

Plot results with Pandas



Intended Audience

This course is intended for data scientists, data engineers, or anyone looking to perform data exploration and analysis with Pandas.



Use Winrar to Extract. And use a shorter path when extracting, such as C: drive



ALSO ANOTHER TIP: You Can Easily Navigate Using Winrar and Rename the Too Long File/ Folder Name if Needed While You Cannot in Default Windows Explorer. You are Welcome ! :)



Download More Latest Courses Visit -->> https://FreeCourseWeb.com



Get Latest Apps Tips and Tricks -->> https://AppWikia.com



We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...