2024 Python Data Analysis & Visualization Masterclass

About Course

Learn Python Data Analysis & Visualization in this comprehensive masterclass, completely free! This course covers Pandas, Matplotlib, Seaborn and more, equipping you with the essential skills to excel in data science, machine learning, finance, web development, and other tech-related fields.

This course is structured to provide a deep understanding of data analysis concepts. It includes hands-on exercises and real-world projects using engaging datasets like Amazon bestsellers, Rivian stock prices, and UFO sightings.

Key topics covered:

Jupyter Notebooks
Pandas for data manipulation
DataFrames and Series objects
Data cleaning, aggregation, and analysis
Extracting and manipulating date, time, and textual information
Hierarchical indexing
Merging datasets in Pandas
Creating visualizations with Matplotlib
Stunning visualizations with Seaborn
Line, bar, box, scatter, pie, violin, rug, swarm, strip, and other plot types

This course stands out by integrating visualizations early on and using real-world datasets from the beginning. It offers a fun and engaging learning experience, unlike courses that focus on hypothetical data. Enroll now and unlock your data analysis potential with this free course on Theetay, available from platforms like Udemy, Udacity, Coursera, MasterClass, NearPeer, and more.

Master Pandas Dataframes and Series
Create beautiful visualizations with Seaborn
Analyze dozens of real-world datasets
Practice with tons of exercises and challenges
Learn the ins and outs of Matplotlib
Organize, filter, clean, aggregate, and analyze DataFrames
Master Hierarchical Indexing
Merge datasets together in Pandas
Create line, bar, box, scatter, pie, violin, rug, swarm, strip, and other plots!
Work with Jupyter Notebooks

Course Content

01 – Introduction

A Message from the Professor
001 Course Welcome & Curriculum Walkthrough.mp4

00:00
002 Join The Community!.html

00:00
003 What Do You Need To Know To Take This Course.mp4

00:00
004 Downloading The Course Materials IMPORTANT!!.mp4

00:00
005 How The Exercises Work.mp4

00:00
external-links.txt

00:00

02 – Setup & Installation

03 – Working With Jupyter Notebook

001 Creating Notebooks & Running Cells.mp4

00:00
002 Shutting Down The Notebook Server.mp4

00:00
003 How Cell Output Works.mp4

00:00
004 Command Mode Shortcuts.mp4

00:00
005 Cell Types Markdown Time!.mp4

00:00
006 Restarting The Kernel.mp4

00:00
007 Viewing The Docs Inside A Notebook.mp4

00:00
008 EXERCISE Jupyter Notebook.mp4

00:00
009 SOLUTION Jupyter Notebook.mp4

00:00
external-links.txt

00:00
Section Quiz

04 – Dataframes & Datasets

001 Datasets & CSV.mp4

00:00
002 pd.read_csv & DataFrames.mp4

00:00
003 Inspecting DataFrames head(), tail(), etc.mp4

00:00
004 DataTypes and info().mp4

00:00
005 The House Sales Dataset Walkthrough.mp4

00:00
006 The Titanic Passenger Dataset Walkthrough.mp4

00:00
007 Non-comma Separators Netflix Dataset.mp4

00:00
008 Overriding Headers Country Population Dataset.mp4

00:00
009 EXERCISE DataFrames & Datasets.mp4

00:00
010 SOLUTION DataFrames & Datasets.mp4

00:00
Section Quiz

05 – Basic DataFrame Methods & Computations

06 – Series & Columns

001 Selecting A Single Column.mp4

00:00
002 A Closer Look At Series.mp4

00:00
003 Important Series Methods.mp4

00:00
004 unique & nunique.mp4

00:00
005 nlargest & nsmallest.mp4

00:00
006 Selecting Multiple Columns.mp4

00:00
007 The powerful value_counts() method.mp4

00:00
008 Using plot() to visualize!.mp4

00:00
009 EXERCISE Series & Plotting.mp4

00:00
010 SOLUTION Series & Plotting.mp4

00:00
Section Quiz

07 – Indexing & Sorting

001 Set_Index Basics.mp4

00:00
002 set_index The World Happiness Index Dataset.mp4

00:00
003 setting index with read_csv.mp4

00:00
004 sort_values intro.mp4

00:00
005 sorting by multiple columns.mp4

00:00
006 sorting text columns.mp4

00:00
007 sort_index.mp4

00:00
008 Sorting and Plotting!.mp4

00:00
009 loc.mp4

00:00
010 iloc.mp4

00:00
011 loc & iloc with Series.mp4

00:00
012 EXERCISE Indexes & Sorting.mp4

00:00
013 SOLUTION Indexes & Sorting.mp4

00:00
Section Quiz

08 – Filtering DataFrames

001 Filtering DataFrames With A Boolean Series.mp4

00:00
002 Filtering With Comparison Operators.mp4

00:00
003 The Between Method.mp4

00:00
004 The isin() Method.mp4

00:00
005 Combining Conditions Using AND (&).mp4

00:00
006 Combining Conditions Using OR ().mp4

00:00
007 Bitwise Negation.mp4

00:00
008 isna() and notna() Methods.mp4

00:00
009 Filtering + Plotting Examples.mp4

00:00
010 EXERCISE Filtering.mp4

00:00
011 SOLUTION Filtering Exercise.mp4

00:00
Section Quiz

09 – Adding & Removing Columns

001 Dropping Columns.mp4

00:00
002 Dropping Rows.mp4

00:00
003 Adding Static Columns.mp4

00:00
004 Creating New Dynamic Columns.mp4

00:00
005 Finding The Highest pricesqft homes.mp4

00:00
006 Finding Largest Bitcoin Price Changes.mp4

00:00
007 EXERCISE AddingRemoving Columns & Rows.mp4

00:00
008 SOLUTION AddingRemoving Columns & Rows.mp4

00:00
Section Quiz

10 – Updating Values

11 – Working With Types and NA Values

12 – Working With Dates & Times

001 Why Dates Matter.mp4

00:00
002 Converting With pd.to_datetime().mp4

00:00
003 Specifying Fancy Formats With pd.to_datetime().mp4

00:00
004 Dates and DataFrames.mp4

00:00
005 The Useful dt Properties.mp4

00:00
006 Comparing Dates.mp4

00:00
007 Finding StarLink Flybys In UFO Dataset.mp4

00:00
008 Date Math & TimeDeltas.mp4

00:00
009 Billboard Charts Dataset Exploration.mp4

00:00
010 EXERCISE Dates & Times.mp4

00:00
011 SOLUTION Dates & Times.mp4

00:00
Section Quiz

13 – Matplotlib

001 Intro to Matplotlib.mp4

00:00
002 Our First Matplotlib Plots!.mp4

00:00
003 Do We Need plt.show().mp4

00:00
004 Anatomy of Plots.mp4

00:00
005 Figsize & Plot Dimensions.mp4

00:00
006 Changing Matplotlib Stylesheets.mp4

00:00
007 Line Styles, Colors, Widths, and More!.mp4

00:00
008 Plot Labels & Titles.mp4

00:00
009 Changing X & Y Ticks.mp4

00:00
010 Adding Legends To Plots.mp4

00:00
011 EXERCISE Matplotlib Challenge #1.mp4

00:00
012 Creating Bar Plots.mp4

00:00
013 Creating Histograms.mp4

00:00
014 EXERCISE Matplotlib Challenge #2.mp4

00:00
015 Creating Scatter Plots.mp4

00:00
016 Creating Pie Charts.mp4

00:00
017 EXERCISE Matplotlib Challenge #3.mp4

00:00
018 Working With Subplots.mp4

00:00
019 Putting It All Together.mp4

00:00
020 EXERCISE Matplotlib Challenge #4.mp4

00:00
Section Quiz

14 – Revisiting Pandas Plotting

001 A Pandas Plotting Recap.mp4

00:00
002 Changing Pandas Plot Styles.mp4

00:00
003 Adding Labels and Titles to Pandas Plots.mp4

00:00
004 Using rename() When Plotting.mp4

00:00
005 Closer Look at Pandas Bar Plots.mp4

00:00
006 EXERCISE Pandas Plotting Challenge #1.mp4

00:00
007 Pandas Histograms.mp4

00:00
008 Box Plots.mp4

00:00
009 Pandas Line Plots.mp4

00:00
010 EXERCISE Pandas Plotting Challenge #2.mp4

00:00
011 Pandas Scatter Plots.mp4

00:00
012 Multiple Plots On The Same Axes.mp4

00:00
013 UFOS Plotting Challenge!.mp4

00:00
014 EXERCISE Pandas Plotting Challenge #3.mp4

00:00
015 Pandas Automatic Subplots.mp4

00:00
016 Manual Subplots With Pandas.mp4

00:00
017 EXERCISE Pandas Plotting Challenge #4.mp4

00:00
018 EXERCISE Pandas Plotting Challenge #5.mp4

00:00
019 Exporting Figures With savefig().mp4

00:00
Section Quiz

15 – Grouping & Aggregating

001 Introducing Groupby.mp4

00:00
002 Exploring Groups.mp4

00:00
003 Split-Apply-Combine.mp4

00:00
004 Using The Agg Method.mp4

00:00
005 Agg with Custom Functions.mp4

00:00
006 Named Aggregation.mp4

00:00
007 EXERCISE Groupby.mp4

00:00
008 SOLUTION Groupby.mp4

00:00
Section Quiz

16 – Hierarchical Indexing

001 Groupby With Multiple Columns.mp4

00:00
002 Creating a MultiIndex With set_index.mp4

00:00
003 Sorting A MultiIndex.mp4

00:00
004 Using .loc() With A MultiIndex.mp4

00:00
005 Cross Sections With The XS Method.mp4

00:00
006 get_level_values().mp4

00:00
007 Hierarchical Columns.mp4

00:00
008 Stack() and Unstack().mp4

00:00
009 Plotting With Unstack().mp4

00:00
010 Grouping By Index.mp4

00:00
Section Quiz

17 – Working With Text

18 – Apply, Map, & Applymap

19 – Combining Series & DataFrames

001 Concatenating Series.mp4

00:00
002 Concatenating Series By Index.mp4

00:00
003 Inner vs. Outer Joins.mp4

00:00
004 Concatenating DataFrames By Columns.mp4

00:00
005 Concatenating DataFrames By Index.mp4

00:00
006 The DataFrame Merge() Method.mp4

00:00
007 Merge() w Left, Right, Inner, & Outer Joins.mp4

00:00
008 Merge() On and Suffixes Arguments.mp4

00:00
Section Quiz

20 – Seaborn

001 Intro to Seaborn.mp4

00:00
002 The Helpful load_dataset() method.mp4

00:00
003 Seaborn Scatterplots.mp4

00:00
004 Seaborn Lineplots.mp4

00:00
005 The relplot() Method.mp4

00:00
006 Resizing Seaborn Plots Aspect & Height.mp4

00:00
007 Seaborn Histograms.mp4

00:00
008 KDE Plots.mp4

00:00
009 Bivariate Distribution Plots.mp4

00:00
010 Rugplots.mp4

00:00
011 The Amazing displot() Method.mp4

00:00
Section Quiz

21 – Seaborn Categorical Plots

22 – Controlling Seaborn Aesthetics

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Student Ratings & Reviews

4.0

Total 2 Ratings

1 Rating

0 Rating

1 Rating

0 Rating

6 months ago

This course good for starting data visualization in python

8 months ago

nicw

About Course

What Will You Learn?

Course Content

01 – Introduction

A Message from the Professor

001 Course Welcome & Curriculum Walkthrough.mp4

002 Join The Community!.html

003 What Do You Need To Know To Take This Course.mp4

004 Downloading The Course Materials IMPORTANT!!.mp4

005 How The Exercises Work.mp4

external-links.txt

02 – Setup & Installation

001 Introducing Jupyter Notebook!.mp4

002 Mac Installation Walkthrough.mp4

003 Windows Installation Walkthrough.mp4

004 Installing Pandas & Matplotlib (Mac & Windows).mp4

external-links.txt

Section Quiz

03 – Working With Jupyter Notebook

001 Creating Notebooks & Running Cells.mp4

002 Shutting Down The Notebook Server.mp4

003 How Cell Output Works.mp4

004 Command Mode Shortcuts.mp4

005 Cell Types Markdown Time!.mp4

006 Restarting The Kernel.mp4

007 Viewing The Docs Inside A Notebook.mp4

008 EXERCISE Jupyter Notebook.mp4

009 SOLUTION Jupyter Notebook.mp4

external-links.txt

Section Quiz

04 – Dataframes & Datasets

001 Datasets & CSV.mp4

002 pd.read_csv & DataFrames.mp4

003 Inspecting DataFrames head(), tail(), etc.mp4

004 DataTypes and info().mp4

005 The House Sales Dataset Walkthrough.mp4

006 The Titanic Passenger Dataset Walkthrough.mp4

007 Non-comma Separators Netflix Dataset.mp4

008 Overriding Headers Country Population Dataset.mp4

009 EXERCISE DataFrames & Datasets.mp4

010 SOLUTION DataFrames & Datasets.mp4

Section Quiz

05 – Basic DataFrame Methods & Computations

001 Min & Max.mp4

002 Sum & Count.mp4

003 Mean, Median, & Mode.mp4

004 Describe With Numeric Values.mp4

005 Describe With Objects (Text) Values.mp4

006 EXERCISE Basic DataFrame Methods.mp4

007 SOLUTION Basic DataFrame Methods.mp4

Section Quiz

06 – Series & Columns

001 Selecting A Single Column.mp4

002 A Closer Look At Series.mp4

003 Important Series Methods.mp4

004 unique & nunique.mp4

005 nlargest & nsmallest.mp4

006 Selecting Multiple Columns.mp4

007 The powerful value_counts() method.mp4

008 Using plot() to visualize!.mp4

009 EXERCISE Series & Plotting.mp4

010 SOLUTION Series & Plotting.mp4

Section Quiz

07 – Indexing & Sorting

001 Set_Index Basics.mp4

002 set_index The World Happiness Index Dataset.mp4

003 setting index with read_csv.mp4

004 sort_values intro.mp4

005 sorting by multiple columns.mp4

006 sorting text columns.mp4

007 sort_index.mp4

008 Sorting and Plotting!.mp4

009 loc.mp4

010 iloc.mp4

011 loc & iloc with Series.mp4

012 EXERCISE Indexes & Sorting.mp4

013 SOLUTION Indexes & Sorting.mp4

Section Quiz

08 – Filtering DataFrames

001 Filtering DataFrames With A Boolean Series.mp4