Pandas Bootcamp 2022- Complete Pandas Walkthrough
- Development
- Apr 15, 2025

Pandas Bootcamp 2022: Complete Pandas Walkthrough, available at Free, has an average rating of 4.4, with 16 lectures, based on 184 reviews, and has 5987 subscribers.
You will learn about Learn Pandas based on NEW Version 1.x (the days of versions 0.x are over) Analyze, visualize, and understand your Data with Pandas Learn and master important Statistical Concepts with Pandas Learn and master the most important Pandas workflows for Data Science This course is ideal for individuals who are Everyone who want to step into Data Science. Pandas is Key to everything. or Data Scientists who want to improve their Data Handling/Manipulation skills. or Everyone who want to switch Data Projects from Excel to more powerful tools (e.g. in Research/Science) or Investment/Finance Professionals who reached the limits of Excel. It is particularly useful for Everyone who want to step into Data Science. Pandas is Key to everything. or Data Scientists who want to improve their Data Handling/Manipulation skills. or Everyone who want to switch Data Projects from Excel to more powerful tools (e.g. in Research/Science) or Investment/Finance Professionals who reached the limits of Excel.
Enroll now: Pandas Bootcamp 2022: Complete Pandas Walkthrough
Summary
Title: Pandas Bootcamp 2022: Complete Pandas Walkthrough
Price: Free
Average Rating: 4.4
Number of Lectures: 16
Number of Published Lectures: 16
Number of Curriculum Items: 16
Number of Published Curriculum Objects: 16
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
Data Analysis with Pandas and Python offers 19+ hours of in-depth video tutorials on the most powerful data analysis toolkit available today. Lessons include:
installing
sorting
filtering
grouping
aggregating
de-duplicating
pivoting
munging
deleting
merging
visualizing
and more!
Why learn pandas?
If you’ve spent time in a spreadsheet software like Microsoft Excel, Apple Numbers, or Google Sheets and are eager to take your data analysis skills to the next level, this course is for you!
Why should you learn Pandas?
The world is getting more and more data-driven. Data Scientists are gaining ground with $100k+ salaries. It′s time to switch from soapbox cars (spreadsheet software like Excel) to High Tuned Racing Cars (Pandas)!
Python is a great platform/environment for Data Science with powerful Tools for Science, Statistics, Finance, and Machine Learning. The Pandas Library is the Heart of Python Data Science. Pandas enables you to import, clean, join/merge/concatenate, manipulate, and deeply understand your Data and finally prepare/process Data for further Statistical Analysis, Machine Learning, or Data Presentation. In reality, all of these tasks require a high proficiency in Pandas! Data Scientists typically spend up to 85% of their time manipulating Data in Pandas.
Data Analysis with Pandas and Python introduces you to the popular Pandas library built on top of the Python programming language.
Pandasis a powerhouse tool that allows you to do anything and everything with colossal data sets analyzing, organizing, sorting, filtering, pivoting, aggregating, munging, cleaning, calculating, and more!
I call it “Excel on steroids”!
Over the course of more than 19 hours, I’ll take you step-by-step through Pandas, from installation to visualization! We’ll cover hundreds of different methods, attributes, features, and functionalities packed away inside this awesome library. We’ll dive into tons of different datasets, short and long, broken and pristine, to demonstrate the incredible versatility and efficiency of this package.
Course Curriculum
Chapter 1: Pandas Complete Guide
Lecture 1: Introduction to Pandas
Lecture 2: Introduction to Pandas Series
Lecture 3: Introduction to Pandas Inbuilt Methods
Lecture 4: Pandas DataFrame Introduction
Lecture 5: Pandas Index Selecting and Filtering Data
Lecture 6: Pandas Inbuilt Methods
Lecture 7: Descriptive Statistics
Lecture 8: Describe Method
Lecture 9: Null Values, Fill NA, Drop NA
Lecture 10: Crosstabs
Lecture 11: Cut Method
Lecture 12: Drop and Rename
Lecture 13: Dummy Variables
Lecture 14: Groupy Functions
Lecture 15: Index Set and Reset
Lecture 16: Merge in Python
Instructors

ML Labs
AI and Computer Vision Training Academy
Rating Distribution
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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