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Start Your Free Trial Today >>Learn Python 3 with more than 100 Practical Exercises and 20 Hands-on Practical Projects
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.
āPython Beginner to Pro Masterclassā is our flagship Python course that delivers unique learning with 3 immersive courses packed into 1 easy-to-learn package:
The course is structured the following way:
First, prepare yourself by learning the basics and perfect your knowledge of the language with a beginner to pro Python programming course.
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!
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:
Easy to learn: Python is the easiest programming language to learn. In fact, at the end of this single course, youāll be able to master Python and its applications regardless of your previous experience with programming.
High Salary: Did you know that the average Python programmer in the U.S. makes approximately $116 thousand dollars a year? With āPython 3 Beginning to Pro Masterclassā youāre setting yourself for up for increased earning potential that can only rise from here.
Scalability: Itās true, Python is easy to learn. But itās 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.
Versatility: Whatās 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.
Future-proof Career: The high demand and low supply of Python developers make it the ideal programming language to learn today. Whether youāre eyeing a career in machine learning or artificial intelligence, learning Python is an invaluable investment in your career.
Why Choose This Course?
Expert Knowledge: Learn from industry leaders with extensive experience in Python, Data Science and Machine Learning.
Hands-On Learning: Engage with practical exercises and real-world case studies to apply your knowledge.
Flexibility: Whether you are starting from scratch or looking to update your skills, this course is structured to cater to your learning pace and style.
Community and Support: Join a community of like-minded learners and professionals, with access to expert support throughout your learning journey.
Moreover, the course is packed with practical exercises that are based on real-life case studies. So not only will you learn the theory, but you will also get lots of hands-on practice building your own models.
$35
/ MonthAccelerate your Career and boost your Earning Potential with our Expert Instructors & Community! What Youāll Unlock: - š 40+ Courses (over 200 hours!) - š 17 Specialized Career Paths - š Quizzes and Practice Activities - š Certificates for Courses & Career Paths - š Prizes for Learning - š§Ŗ Weekly Live Labs (plus recordings!) - šÆ Monthly Missions to practice even more - š¼ Monthly Career Booster Events - š¬ Full access to the SDS Community - ā” Monthly Speed Networking - š„ Monthly Resume Clinics - š„ Group Mentorship Program "In just a few months of learning at SDS, I landed a Data Analyst job!" ā Sanaz Afshar, California
$157
/ MonthAccelerate your Career and boost your Earning Potential with our Expert Instructors & Community! What Youāll Unlock: - š 40+ Courses (over 200 hours!) - š 17 Specialized Career Paths - š Quizzes and Practice Activities - š Certificates for Courses & Career Paths - š Prizes for Learning - š§Ŗ Weekly Live Labs (plus recordings!) - šÆ Monthly Missions to practice even more - š¼ Monthly Career Booster Events - š¬ Full access to the SDS Community - ā” Monthly Speed Networking - š„ Monthly Resume Clinics - š„ Group Mentorship Program Plus, Pro Plan perks just for you: - š A Personalized Career Path built around your goals - š§āš« 1-on-1 Mentoring Sessions every month - āļø Personalized Resume Reviews "In just a few months of learning at SDS, I landed a Data Analyst job!" ā Sanaz Afshar, California
Course content
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Environment Setup
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 Part 1
11:56
Math Operations, Precedence, Variables Assignment Exercises - Solutions Part 2
15:21
Print Operation
09:16
Get User Input
11:21
Print and Get User Input Exercises - Questions
05:42
Print and Get User Input Exercises - Solutions Part 1
07:46
Print and Get User Input Exercises - Solutions Part 2
11:30
Strings Concept
10:50
Strings Exercises - Questions
05:30
Strings Exercises - Solutions Part 1
12:07
Strings Exercises - Solutions Part 2
15:45
Lists Concept
15:53
Lists Exercises - Questions
04:26
Lists Exercises - Solutions Part 1
09:03
Lists Exercises - Solutions Part 2
06:17
Dictionaries and Booleans Concept
12:45
Dictionaries and Booleans Exercises - Questions
04:21
Dictionaries and Booleans Exercises - Solutions Part 1
10:28
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
Comparison Operators - Concept
09:19
Logical Operators - Concept
10:03
Conditional Statements - Concept
15:07
Conditional Statements, Logical and Comparison Operators Exercises - Questions Overview
06:18
Conditional Statements, Logical and Comparison Operators Exercises - Solutions Part 1
05:02
Conditional Statements, Logical and Comparison Operators Exercises - Solutions Part 2
11:45
Conditional Statements, Logical and Comparison Operators Exercises - Solutions Part 3
07:36
Conditional Statements, Logical and Comparison Operators Exercises - Solutions Part 4
08:45
Loops - For Loops Concept
16:18
Loops - Enumerate
05:50
Loops - Range
09:21
Loops - Break and Continue
07:15
Loops - Nested Loops
09:24
Loops - List Comprehension
14:38
Loops - While Loops
08:11
Loops Exercises - Questions Overview
10:11
Loops Exercises - Solutions Part 1
07:55
Loops Exercises - Solutions Part 2
10:33
Loops Exercises - Solutions Part 3
14:53
Loops Exercises - Solutions Part 4
18:35
Loops Exercises - Solutions Part 5
12:49
Functions - Concept
14:27
Functions - Built In Functions
10:00
Functions - Lambda Expressions
06:11
Functions - Map
08:36
Functions - Filter
05:42
Functions Exercises - Questions Overview
06:34
Functions Exercises - Solutions Part 1
13:00
Functions Exercises - Solutions Part 2
10:42
Functions Exercises - Solutions Part 3
12:37
Functions Exercises - Solutions Part 4
10:11
Files - Concept Part 1
06:51
Files - Concept Part 2
05:10
Files - Concept Part 3
07:47
Files Exercises - Questions Overview
05:47
Files Exercises - Solutions Part 1
10:53
Files Exercises - Solutions Part 2
12:22
Files Exercises - Solutions Part 3
09:03
Project #1 - Build a Guessing Game
08:41
Project #2 - Draw Cartoon of Images Using OpenCV - Part 1
06:43
Project #2 - Draw Cartoon of Images Using OpenCV - Part 2
14:09
Project #3 - Build a Fortune Teller Game
09:24
Project #4 - Detect Lane Lines for Self-driving Cars - Part 1
06:13
Project #4 - Detect Lane Lines for Self-driving Cars - Part 2
14:22
Project #5 - Build Your Zodiac Sign Application
07:04
Project #6 - Build a Tic-Tac-Toe Game
14:32
Project #7 - Draw a Sketch of Your Face Using the WebCam
09:20
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
12:11
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
09:03
Project #10 - Predict Future Avocado Prices Using Facebook Prophet - Part 2
14:07
Project #10 - Predict Future Avocado Prices Using Facebook Prophet - Part 3
09:53
Project #10 - Predict Future Avocado Prices Using Facebook Prophet - Part 4
05:28
Project #10 - Predict Future Avocado Prices Using Facebook Prophet - Part 5
06:15
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
11:47
Project #12 - Detect Faces and Eyes in Images - Part 1
13:07
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
13:24
Download Machine Learning Course Package
Introduction to Artificial Intelligence and Machine Learning
11:04
Supervised, Unsupervised, and Reinforcement Learning
08:58
Deep Learning and Big Picture
07:00
Case Study 1 - Introduction to Linear Regression
09:09
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
13:55
Case Study 1 - Model Training
08:05
Case Study 1 - Model Testing and Evaluation
11:02
Case Study 2 - Business Case and Problem Statement
02:51
Case Study 2 - Problem in Machine Learning Vocabulary
07:15
Case Study 2 - Data Visualization
16:57
Case Study 2 - Model Training
08:07
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
09:45
Case Study 3 - Artificial Neural Networks Basics
06:49
Case Study 3 - Convolution Neural Network (CNN) Overview
04:50
Case study 3 - Convolution Operation in Action!
12:35
Case Study 3 - Rectified Linear Units (RELU)
05:34
Case Study 3 - Max Pooling and Down-sampling
12:55
Case Study 3 - Regularization and Dropouts
04:05
Case Study 3 - Problem Statement and Data Import
09:56
Case Study 3 - Data Visualization
11:24
Case Study 3 - CNN Model Building
12:59
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