[ FreeCourseWeb.com ] Data Wrangling with Pandas
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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.
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