Python Pandas in 3 Hours - Core Foundations & Data Analysis Full Course
Master the foundations of Data Analysis with Python Pandas in Part 1 of this complete course!
In this comprehensive tutorial, we cover the core building blocks of the Pandas library. You will learn how to work with Series and DataFrames, clean messy data, handle missing values (NaN), and perform essential data manipulation operations. This is the starting point for anyone wanting to become a Data Scientist or Data Analyst.
What you will learn in Part 1:
-Core Concepts: Understanding Numpy arrays, Python Lists vs. Pandas.
-The Series Object: Indexing, Boolean arrays, and CRUD operations.
-DataFrames: Reading CSVs, selecting data, and exploring datasets.
-Data Cleaning: Handling duplicates, removing NaNs, and sorting.
-Manipulation: Transposing, adding/removing columns, and applying functions.
Module 1: Introduction & Setup
00:00:00 Intro Screen (15s)
00:00:15 What Is Pandas?
00:02:40 Installation
00:06:32 Pandas Vs. Other Platforms
00:09:43 Python Lists
00:12:08 Numpy 1D Arrays
Module 2: The Series Object
00:16:46 Pandas Series
00:19:15 Boolean Arrays
00:22:45 Series Index
00:26:06 Data Types
00:29:29 Iteration
00:32:58 Broadcasting Operations
00:38:56 Crud Operations Reading
00:45:55 Crud Operations Update
00:51:18 Crud Operations Deletion
00:53:39 Summary Statistics
00:58:19 Dealing With Duplicates
01:04:42 Dealing With Nan
01:10:39 Plotting
01:13:17 Serialization
Module 3: DataFrames Basics
01:15:43 Columnar Data
01:19:35 Similarities To Python Dictionaries
01:24:33 Creation From Lists And Dicts
01:28:29 Reading CSV Files
01:30:16 Selection
01:38:29 Projection
01:41:57 Cartesian Product
01:48:50 Union
01:52:40 Difference
01:55:35 Exploring Data
01:59:11 Axes Of Dataframes
02:01:09 Index And Columns
02:04:10 Summary Statistics
02:07:56 Histograms
Module 4: Data Manipulation
02:13:02 Transposing Data
02:14:38 Adding Rows
02:20:51 Adding Columns
02:23:48 Applying Functions To Columns
02:27:58 Removing Columns
02:30:29 Sorting Data
02:35:50 Iteration Over Data
02:41:06 Setting Data
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