Python 3 Programming: Beginner to Pro Masterclass
4.4 (689 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
4,365 students enrolled

Python 3 Programming: Beginner to Pro Masterclass

Learn Python 3 with more than 100 Practical Exercises and 20 Hands-on Practical Projects
4.4 (689 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
4,365 students enrolled
Current price: $129.99 Original price: $199.99 Discount: 35% off
14 hours left at this price!
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This course includes
  • 22.5 hours on-demand video
  • 5 articles
  • 28 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • DIVE INTO PYTHON WORLD WITH PYTHON FUNDAMENTALS:
  • Variables and data types & Comparison operators
  • Logical Operators & Conditional statements (If-else)
  • For and while loops & Functions
  • Lists and list comprehensions
  • Dictionaries and dictionaries comprehensions
  • Lambdas and built-in functions & Modules & Maps and Filters
  • Processing csv files & Methods & Matplotlib
  • Pandas & Numpy & Seaborn
  • Use OpenCV applied on Video Stream to Draw Yourself
Course content
Expand all 141 lectures 22:38:59
+ *******BEGINNER PYTHON FUNDAMENTALS - PART A *********
33 lectures 04:35:41
Environment Setup
01:00
BONUS: Learning Paths
00:34
Updates on Udemy Reviews
01:09
Basic Mathematical Operations
11:54
Precedence - order of operation
05:01
Variable Assignment
08:34
Math operations, precedence, variables assignment Exercises Questions
09:07
Math operations, precedence, variables assignment Exercises Solutions 1
11:56
Math operations, precedence, variables assignment Exercises Solutions 2
15:21
Print Operation
09:15
Get User Input
11:20
Print and Get User input Exercises Questions
05:42
Print and Get User input Exercises Solutions Part 1
07:45
Print and Get User input Exercises Solutions Part 2
11:30
Strings Concept
10:50
Strings Exercises Questions
05:29
Strings Exercises Solutions Part 1
12:06
Strings Exercises Solutions Part 2
15:44
Lists Concept
15:53
Lists Exercises Questions
04:25
Lists Exercises Solutions Part 1
09:02
Lists Exercises Solutions Part 2
06:17
Dictionaries and Booleans Concept
12:45
Dictionaries and Booleans Exercises Questions
04:20
Dictionaries and Booleans Exercises Solutions Part 1
10:27
Dictionaries and Booleans Exercises Solutions Part 2
12:32
Dictionaries and Booleans Exercises Solutions Part 3
07:16
Tuples and Sets Concept
08:22
Tuples and Sets Exercises Questions
03:26
Tuples and Sets Exercises Solutions
14:29
Get the Materials
00:05
+ *******BEGINNER PYTHON FUNDAMENTALS - PART B *********
38 lectures 06:15:19
Comparison Operators - Concept
09:19
Logical Operators - Concept
10:03
Conditional Statements - Concept
15:07
Conditional Statements, logical and Comparison Operators - Exercises Overview
06:18
Conditional Statements, logical and Comparison Operators - Exercises Solutions#1
05:01
Conditional Statements, logical and Comparison Operators - Exercises Solutions#2
11:44
Conditional Statements, logical and Comparison Operators - Exercises Solutions#3
07:35
Conditional Statements, logical and Comparison Operators - Exercises Solutions#4
08:45
Loops - For Loops Concept
16:18
Loops - enumerate
05:49
Loops - range
09:20
Loops - Break and Continue
07:14
Loops - Nested Loops
09:23
Loops - List Comprehension
14:37
Loops - While Loops
08:10
Loops - Exercises Questions Overview
10:11
Loops - Exercises Solutions part #1
07:54
Loops - Exercises Solutions part #2
10:32
Loops - Exercises Solutions part #3
14:52
Loops - Exercises Solutions part #4
18:35
Loops - Exercises Solutions part #5
12:48
Functions - Concept
14:26
Functions - Built in functions
10:00
Functions - lambda Expressions
06:11
Functions - Map
08:35
Functions - Filter
05:42
Functions - Exercises Questions Overview
06:34
Functions - Exercises Solutions Part #1
13:00
Functions - Exercises Solutions Part #2
10:41
Functions - Exercises Solutions Part #3
12:36
Functions - Exercises Solutions Part #4
10:10
Files - Concept Part 1
06:50
Files - Concept Part 2
05:10
Files - Concept Part 3
07:46
Files - Exercises Questions Overview
05:47
Files - Exercises Solutions Part #1
10:52
Files - Exercises Solutions Part #2
12:22
Files - Exercises Solutions Part #3
09:02
+ *******BEGINNER PYTHON FUNDAMENTALS - Part C *******
8 lectures 01:36:36
Numpy Basics - Part 1
09:59
Numpy Basics - Part 2
13:38
Pandas - Part 1
11:21
Pandas - Part 2
10:50
Matplotlib - Part 1
08:18
Matplotlib - Part 2
17:41
Matplotlib - Part 3
12:38
Seaborn
12:11
+ *******PRACTICAL PROJECTS IN PYTHON *******
31 lectures 05:35:31
Project #2 - Draw Cartoon of Images Using OpenCV - Part B
14:09
Project #3 - Build a Fortune Teller Game
09:23
Project #4 - Detect Lane Lines for Self-driving Cars - Part A
06:13
Project #4 - Detect Lane Lines for Self-driving Cars - Part B
14:21
Project #5 - Build your Zodiac Sign Application
07:04
Project #6 - Build a Tic-Tac-Toe Game
14:31
Project #7 - Draw a Sketch of your Face Using the WebCam
09:19
Project #8 - Amazon Alexa Reviews Analysis - Part 1 - Project Overview
07:22
Project #8 - Amazon Alexa Reviews Analysis - Part 2 - Importing data
09:30
Project #8 - Amazon Alexa Reviews Analysis - Part 3 - Data Visualization
12:10
Project #8 - Amazon Alexa Reviews Analysis - Part 4 - Word Cloud
09:37
Project #8 - Amazon Alexa Reviews Analysis - Part 5 - Feature Engineering
19:32
Project #9 - Build a Daily Planner - Part #1
09:50
Project #9 - Build a Daily Planner - Part #2
08:06
Project #9 - Build a Daily Planner - Part #3
10:32
Project #10 - Predict Future Avocado Prices Using Facebook Prophet - Part 1
09:02
Project #10 - Predict Future Avocado Prices Using Facebook Prophet - Part 2
14:07
Project #10 - Predict Future Avocado Prices Using Facebook Prophet - Part 3
09:52
Project #10 - Predict Future Avocado Prices Using Facebook Prophet - Part 4
05:28
Project #10 - Predict Future Avocado Prices Using Facebook Prophet - Part 5
06:14
Project #11 - Manipulate PDF Files - Part 1
15:21
Project #11 - Manipulate PDF Files - Part 2
08:54
Project #11 - Manipulate PDF Files - Part 3
07:50
Project #11 - Manipulate PDF Files - Part 4
08:10
Project #11 - Manipulate PDF Files - Part 5
11:46
Project #12 - Detect Faces and Eyes in Images! Part 1
13:06
Project #12 - Detect Faces and Eyes in Images! Part 2
21:08
Project #12 - Detect Faces and Eyes in Images! Part 3
14:08
Project #12 - Detect Faces and Eyes in Images! Part 4
13:23
+ ****** MACHINE LEARNING IN PYTHON ********
30 lectures 04:35:23
Download Machine Learning Course Package
00:03
Introduction to Artificial Intelligence and Machine Learning
11:04
Supervised, Unsupervised, and Reinforcement Learning
08:57
Deep Learning and Big Picture
07:00
Case Study 1 - Introduction to Linear Regression
09:08
Case Study 1 - Least Sum of Squares
10:01
Case Study 1 - Problem Statement and Data Importing
10:12
Case Study 1 - Data Visualization and Data Splitting
13:54
Case Study 1 - Model Training
08:04
Case Study 1 - Model Testing and Evaluation
11:02
Case Study 2 - Business Case and Problem Statement
02:50
Case Study 2 - Problem in Machine Learning Vocabulary
07:14
Case Study 2 - Data Visualization
16:57
Case Study 2 - Model Training
08:06
Case Study 2 - Model Evaluation
10:13
Case Study 2 - Improving the Model
21:59
Case Study 2 - Conclusion
02:46
Case Study 3 - Introduction
09:44
Case Study 3 - Artificial Neural Networks Basics
06:49
Case Study 3 - Convolution Neural Network (CNN) Overview
04:49
Case study 3 - Convolution Operation in Action!
12:34
Case Study 3 - Rectified Linear Units (RELU)
05:33
Case Study 3 - Max Pooling and Down-sampling
12:54
Case Study 3 - Regularization and Dropouts
04:05
Case Study 3 - Coding Part 1 - Problem Statement and Data Import
09:56
Case Study 3 - Data Visualization
11:23
Case Study 3 - CNN Model Building
12:58
Case Study 3 - CNN Model Training
06:59
Case Study 3 - CNN Model Evaluation Part 1
12:28
Case Study 3 - CNN Model Evaluation Part 2
05:41
+ Bonus Lectures
1 lecture 00:28
***YOUR SPECIAL BONUS***
00:28
Requirements
  • Access to a computer with an internet connection.
  • Computer. Mac OS, Windows or Linux.
  • No previous experience with Python or coding is required.
Description

We are on a mission to create the most complete Python programming guide in the World.

From Python basics to techniques used by pros, this masterclass provides you with everything you need to start building and applying Python.

“Python Beginner to Pro Masterclass” is our flagship Python course that delivers unique learning with 3 immersive courses packed into 1 easy-to-learn package:

  1. First, prepare yourself by learning the basics and perfect your knowledge of the language with a beginner to pro Python programming course.

  2. Next, build on your knowledge with a practical, applied and hands-on Python course with over 20 real-world applications problems and 100 coding exercises to help you learn in a practical, easy and fun way. These will be invaluable projects to showcase during future job interviews!

  3. Finally, push your boundaries with a data science and machine-learning course covering practical machine learning applications using Python. Dive into real-life situations and solve real-world challenges.


So, why is Python the golden programming language these days? And what makes it the best language to learn today?

Python ranks as the number one programming language in 2018 for five simple reasons that are bound to change the shape of your life and career:

(1)   Easy to learn: Python is the easiest programming language to learn. In fact, at the end of this single course, you’ll be able to master Python and its applications regardless of your previous experience with programming.

(2)   High Salary: Did you know that the average Python programmer in the U.S. makes approximately $116 thousand dollars a year? With “Python 3 Beginning to Pro Masterclass” you’re setting yourself for up for increased earning potential that can only rise from here.

(3)   Scalability: It’s true, Python is easy to learn. But it’s also an extremely powerful language that can help you create top-tier apps. In fact, Google, Instagram, YouTube, and Spotify are all built using Python.

(4)   Versatility: What’s more, Python is by far the most versatile programming language in the world today! From web development to data science, machine learning, computer vision, data analysis and visualization, scripting, gaming, and more, Python has the potential to deliver growth to any industry.

(5)   Future-proof Career:  The high demand and low supply of Python developers make it the ideal programming language to learn today. Whether you’re eyeing a career in machine learning or artificial intelligence, learning Python is an invaluable investment in your career.


Who this course is for:
  • Anyone who wants to learn Python.
  • Beginners who have just started to learn Python
  • Professionals who want to learn Python through Real World Applications
  • Professionals who want to obtain particular skill, such as Web Scraping, Working With Databases, Build Websites, etc