Python A-Z™: Python For Data Science With Real Exercises!
About Course
Unlock the power of Python for data science with this comprehensive and engaging course! This free Udemy course, “Python A-Z™: Python For Data Science With Real Exercises!”, is designed to take you from beginner to proficient in Python programming.
Learn by doing with real-world exercises and step-by-step tutorials. Master essential programming concepts, including variables, loops, data types, and data visualization with Seaborn. Create stunning histograms, KDE plots, and violin plots.
This course is perfect for anyone, regardless of your programming or statistical background. Join Kirill Eremenko and dive into the world of Python data science!
This course is completely free and available on Theetay, a platform offering top-rated courses from leading providers like Udemy, Udacity, Coursera, MasterClass, NearPeer, and more.
**Key skills you’ll learn:**
- Python Programming Fundamentals
- Data Science with Python
- Data Visualization with Seaborn
- Python Variables and Data Types
- Loops in Python (while and for)
What Will You Learn?
- Learn to program in Python at a good level
- Learn how to code in Jupiter Notebooks
- Learn the core principles of programming
- Learn how to create variables
- Learn about integer, float, logical, string and other types in Python
- Learn how to create a while() loop and a for() loop in Python
- Learn how to install packages in Python
- Understand the Law of Large Numbers
Course Content
Welcome To The Course
-
A Message from the Professor
-
Installing Python (Windows & MAC)
08:55
Core Programming Principles
-
Updates on Udemy Reviews
01:09 -
Types of variables
08:45 -
Using Variables
08:59 -
Boolean Variables and Operators
06:03 -
The While Loop
09:56 -
The For Loop
07:57 -
The If statement
12:30 -
Code indentation in Python
02:41 -
Section recap
03:08 -
HOMEWORK Law of Large Numbers
12:52
Fundamentals Of Python
-
What is a List
03:15 -
Let’s create some lists
08:43 -
Let’s create some lists
08:43 -
Using the brackets
06:29 -
Slicing
09:27 -
Tuples in Python
06:17 -
Functions in Python
05:37 -
Packages in Python
13:39 -
Numpy and Arrays in Python
07:08 -
Slicing Arrays
04:32 -
Section Recap
03:06 -
HOMEWORK Financial Statement Analysis
10:11
Matrices
-
Project Brief Basketball Trends
08:16 -
Matrices
03:31 -
Building Your First Matrix
16:50 -
Dictionaries in Python
14:20 -
Matrix Operations
08:34 -
Your first visualization
11:04 -
Expanded Visualization
09:37 -
Creating Your First Function
11:09 -
Advanced Function Design
11:15 -
Basketball Insights
11:17 -
Section Recap
04:07 -
HOMEWORK Basketball free throws
08:43
Data Frames
-
Importing data into Python
08:26 -
Exploring your dataset
10:51 -
Renaming Columns of a Dataframe
02:56 -
Renaming Columns of a Dataframe
02:56 -
Subsetting dataframes in Pandas
16:31 -
Basic operations with a Data Frame
09:49 -
Filtering a Data Frame
18:52 -
Using .at() and .iat() (advanced tutorial)
09:01 -
Introduction to Seaborn
10:47 -
Visualizing With Seaborn Part 1
10:05 -
Keyword Arguments in Python (advanced tutorial)
10:42 -
Section Recap
04:31 -
HOMEWORK World Trends
06:57
Advanced Visualization
-
What is a Category data type
10:29 -
Working with JointPlots
07:38 -
Histograms
07:52 -
Stacked histograms in Python
18:29 -
Creating a KDE Plot
07:59 -
Working with Subplots()
14:05 -
Violinplots vs Boxplots
08:55 -
Creating a Facet Grid
12:28 -
Coordinates and Diagonals
07:55 -
BONUS Building Dashboards in Python
16:31 -
BONUS Building Dashboards in Python
16:31 -
BONUS Styling Tips
15:46 -
BONUS Finishing Touches
14:48 -
Section Recap
05:38 -
HOMEWORK Movie Domestic % Gross
07:57
Homework Solutions
-
Homework Solution Section 2 Law Of Large Numbers
08:57 -
Homework Solution Section 3 Financial Statement Analysis (Part 1)
10:30 -
Homework Solution Section 3 Financial Statement Analysis (Part 2)
13:39 -
Homework Solution Section 4 Basketball Free Throws
17:23 -
Homework Solution Section 4 Basketball Free Throws
17:23 -
Homework Solution Section 5 World Trends (Part 1)
15:45 -
Homework Solution Section 5 World Trends (Part 2)
14:35 -
Homework Solution Section 6 Movie Domestic % Gross (Part 1)
16:46 -
Homework Solution Section 6 Movie Domestic % Gross (Part 2)
08:19 -
THANK YOU bonus video
02:40
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