Index Objects with Pandas

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Biswanath Halder

58:24

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1. Course Overview

1. Course Overview.mp4

01:51

2. Introduction to Indexing Objects in Pandas

1. Overview.mp4

01:04

2. Indexing in Pandas.mp4

03:04

3. Explore NBA Dataset Using Position-based Indexing.mp4

03:37

4. Numerical Indexing to Select Entire Rows.mp4

01:30

5. Numerical Indexing to Select Subsets of Data.mp4

01:19

6. Summary.mp4

01:09

3. Pandas Index Objects for Time Series Data

1. Overview.mp4

01:05

2. Datetime Index in Pandas.mp4

05:09

3. Exploration of a Time Series Dataset.mp4

02:42

4. Data Extraction Using Datetime Index.mp4

02:48

5. Data Manipulation Using Datetime Index.mp4

03:09

6. Timedelta Indexing in Pandas.mp4

02:40

7. Summary.mp4

01:19

4. Interval, Categorical, and Period Indexing in Pandas

1. Overview.mp4

00:51

2. Interval Indexing in Pandas.mp4

04:12

3. Data Extraction Using Interval Index.mp4

02:35

4. Categorical Indexing in Pandas.mp4

03:15

5. Data Extraction Using Categorical Indexing.mp4

01:28

6. Period Indexing in Pandas.mp4

01:34

7. Data Extraction Using Period Indexing.mp4

00:56

8. Summary.mp4

01:13

5. Multi-indexing in Pandas

1. Overview.mp4

00:59

2. Limitations of Single Level Indexing.mp4

02:47

3. Multi-index for Hierarchical Data.mp4

04:30

4. Summary.mp4

01:38

Description

In this course, you’ll learn how to use Pandas index objects for advanced data analysis. You'll learn how to create and use numerical, interval, period, categorical, date-time, time-delta, and multi-indexing in Pandas to retrieve and manipulate data.

What You'll Learn?

To build any business solution using data, the first step that you need to perform is data analysis. Pandas is a Python library that has numerous functionalities to simplify data analysis. Pandas Index objects offer some of these advanced functionalities to make data analysis easier.

In this course, Index Objects with Pandas, you’ll learn how to use Pandas index objects for advanced data analysis. First, you'll learn the basics of data-frames and various indexing strategies in Pandas. Next, you'll discover how to create and use numerical, interval, period, and categorical indexing in Pandas to retrieve data from a data-frame. Then, you'll see how to use date-time and time-delta indexing to extract and manipulate time-series data. Finally, you'll dive into how to use multi-indexing in Pandas to organize data hierarchically.

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Python

Data Science

Pandas

Big Data

Biswanath Halder

Instructor's Courses

Biswanath is a Data Scientist who has around nine years of working experience in companies like Oracle, Microsoft, and Adobe. He has extensive knowledge of Machine Learning, Deep Learning, and Reinforcement Learning. He specializes in applying Machine Learning and Deep Learning techniques in complex business applications related to computer vision and natural language processing. He is also a freelance educator and teaches Statistics, Mathematics, and Machine Learning. He holds a Master's degree in Computer Science from the Indian Institute of Science, Bangalore, and a Bachelor's degree in Computer Science from Jadavpur University, Kolkata.

Pluralsight

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Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.