This is our review of the best Python courses in 2022.
Python is a powerful programming language that is widely used in many industries today.
If you’re searching for Python courses, you’ve come to the correct place! There are many great Python courses available online.
In this blog post, we will rank and review the best Python courses on the market. We will rank these courses based on features, student enrollment, and pricing.
So whether you’re a beginner or an experienced Python programmer, there’s something for everyone here!
We found that Introduction to Computer Science and Programming Using Python (MIT) is the best overall Python course in 2022.
Everyone has a different learning style. So, I’ve included reviews of the best courses available.
So what are you waiting for?
Start learning today!
<Our Pick>
#1. Introduction to Computer Science and Programming Using Python (MIT)
Best for Beginners: #2. Programming for Data Science with Python (Udacity)
Best for Intermediate: #3. Intermediate Python (DataCamp)
Best for Budget: #4. Introduction to Python Programming (Udacity)
What Are The Best Python Courses?
Here is my ranked and reviewed list of the best Python online courses in 2022.
1. Introduction to Computer Science and Programming Using Python (MIT)
Overview
If you’re looking for a comprehensive introduction to computer science and programming, look no further than Introduction to Computer Science and Programming Using Python. This course is offered by MIT in edX and is designed for beginners enrolled in 1,471,377 students.
This is the first of a two-course sequence: Introduction to Computer Science and Python Programming, as well as Introduction to Computational Thinking and Data Science.
These classes help students who are not familiar with computer science and computer programming.
The topics covered are:
– A Notion of computation
– The Python programming language
– Some simple algorithms
– Testing and debugging
– An informal introduction to algorithmic complexity
– Data structures
Top Features
- You will be expected to spend 9 weeks and 14-16 hours per week studying for this course.
- This course is instructor-led and paced, so you’ll be able to follow along with the lessons on a schedule.
- This course is a Python 3.5 introduction to programming lecture series in which lectures, exercises, and problem sets are used.
- Whether you’ve previously taken our Python 2.7 course or another, this course will easily help you transition to Python 3.5 course or start learning right now.
Pricing
This course may be audited for free with a restricted time and $75 for verified tracks that provide unlimited access and certification of completion.
2. Programming for Data Science with Python (Udacity)
Overview
This course provides the fundamental programming concepts for Python necessary for a data science profession.
This course is designed for those with no prior experience in the computer programming language.
Students will be able to write programs in Python, SQL, the Command-Line, and Git by the conclusion of the course.
The topics covered are:
– Course 1: Introduction to SQL
Basic SQL
SQL Joins
Advanced SQL Queries
– Course 2: Introduction to Python Programming
Why Python Programming
Data Types and Operators
Control Flow
Functions
Numpy
Pandas
– Course 3: Introduction to Version Control
Shell Workshop
Purpose & Terminology
Create a Git Repo
Review a Repo’s History
Top Features
- This course will need you to study for 3 months and 10 hours each week.
- This course is self-paced, allowing you to create a learning schedule that fits your busy schedule.
- You’ll study the technical knowledge through real-world projects and engaging content developed in collaboration with top-tier firms.
- Udacity’s mentorship is designed to help you learn, answer your questions, increase your motivation, and keep you on track.
Pricing
There are two possible pricing plans for this course. The first is monthly access at $399 per month. The second is 3-month access for $1017, which is a 15 % discount.
3. Intermediate Python (DataCamp)
Overview
This course Intermediate Python is a Python intermediate course that enrolled 778,910 students. You can learn how to use Matplotlib’s functions and get familiar with data structures such as the dictionary and the pandas DataFrame.
This course is part of the Data Analyst with Python, the Data Scientist with Python, and the Python Fundamentals track.
The topics covered are:
– Matplotlib
– Dictionaries & Pandas
– Logic, Control Flow, and Filtering
– Loops
– Case Study: Hacker Statistics
Top Features
- To complete this course, you will need to watch 18 videos for 4 hours.
- After you learn about boolean logic, control flow, and loops in Python, you will be able to solve a case study using hacker statistics.
- There are 87 exercises that you must accomplish in order to complete this course.
- This course is self-paced, so you may learn at your own pace.
Pricing
You can take the first session for free but for the second, you need to get a subscription.
DataCamp offers a monthly subscription. The premium is $35 per month, as depicted in the image above. You may take all of the lectures if you subscribe for $35 each month.
If you pay for a one-year subscription at a monthly price of $12.42 per month, it will cost $149 annually.
4. Introduction to Python Programming (Udacity)
Overview
This course Introduction to Python Programming is designed to help beginners learn the basics of the Python programming language, as well as programming practices.
You’ll learn to use Python to store and represent data and how to use conditionals and loops to control the flow of your programs.
You’ll practice complex data structures like lists, sets, dictionaries, and tuples to store collections of related data as well as how to use modules in the Python Standard Library and other third-party libraries.
The topics covered are:
– Why Python Programming
– Data Types and Operators
– Control Flow
– Functions
– Scripting
Top Features
- To complete this course, you’ll need to devote approximately 5 weeks of your time.
- This course is self-paced learning, so you may study on your own schedule.
- This course is for students who are new to Python but have some experience programming in a different language.
- Students will learn how to do exercises from industry professionals.
Pricing
Udacity offers this course for free.
5. Introduction to Python (DataCamp)
Overview
This course Introduction to Python, unlike others in the Python category, is designed specifically for data scientists.
In this course, you will learn about powerful ways to store and manipulate data. This will help you conduct your own data analyses.
This course is a part of these tracks: Data Scientist with Python and Python Fundamentals.
The topics covered are:
– Python Basic
– Python Lists
– Functions and Packages
-Numpy
Top Features
- In order to complete this course, you will need to watch 11 videos that are around 4 hours long.
- You will learn how to store data, find it, and change it in lists. This is the first step in learning how to work with large amounts of data.
- You are learning by doing, and you are getting feedback on your work that is customized for you.
- This course includes 57 exercises to help you practice.
- This course is designed self-paced so that you can study at your own speed.
Pricing
This is Free Interactive Course.
6. Computing in Python I: Fundamentals and Procedural Programming (Georgia Tech)
Overview
Computing in Python I: Fundamentals and Procedural Programming is a course offered by Georgia Tech in Edx. It is designed for beginners and covers the basics of Python programming. It is one of the most popular Python courses on edX, with over 212,922 students enrolled.
This course is a comprehensive guide to understanding the basics of procedural programming. You’ll learn how a computer processes code, and get a glimpse into the write-run-debug cycle of coding.
With this knowledge under your belt, you’ll be ready to dive into variables, types, and mathematical operators. This course will show you how to create programs with Python!
The course is divided into five weeks, and each week covers a different topic.
The topics covered are:
– Chapter One: Computing
– ChapteTwo: Programming
– Chapter Three: Debugging
– Chapter Four: Procedural Programming
– Chapter Five: Variables
– Chapter Six: Logical Operators
– Chapter Seven: Mathematical Operators
Top Features
- You’ll be spending 9-10 hours per week on this course for the next 5 weeks.
- Each week covers a different topic.
- This course is self-paced, so you can progress at your own speed.
- Each week includes a mix of readings, videos, exercises, and quizzes.
- The course has a final program, which allows students to use variables, mathematical operators, and logical operators.
- Structurally, the course is comprised of several parts. Instruction is delivered via a series of short (2-3 minute) videos.
- In between those videos, you’ll complete both multiple-choice questions and coding problems to demonstrate your knowledge of the material that was just covered.
Pricing:
This course offers an audit track that is free and open to all in a limited time, providing learners with a thorough introduction to the fundamentals of Python programming.
Additionally, those who wish to earn a verified certificate upon completion can upgrade their course for $149.
7. Using Python for Research (Harvard University)
Overview
This course Using Python for Research is offered by Harvard University in Edx. It blends the gap between basic and advanced Python courses enrolling 315,241 students.
While there are numerous excellent introductory Python courses accessible, most do not go deep enough to put your Python abilities to good use when conducting research projects.
After learning the foundations of Python 3, you’ll explore tools commonly used in research settings in this course. A new module on statistical learning has been added to this version of the course.
The topics covered are:
– Week 1: Python Basics
– Week 2: Python Research Tools
– Weeks 3 & 4: Case Studies
This set of six case studies from various fields provides a chance to put your Python learning abilities.
– Week 5: Statistical Learning
Top Features
- For this course, you may devote 2-4 hours each week for 12 weeks.
- This course is self-paced, so you may work at your own pace.
- You’ll be introduced to Python tools (e.g., the NumPy and Scipy modules) for research applications in this course.
Pricing
The course may be audited for free for a limited time and $169 for verified tracks that provide unlimited access and completion certification.
8. CS50’s Introduction to Programming with Python (Harvard University)
Overview
This course is a programming course that teaches you how to code in Python. This is a popular course at Harvard University that is taught by Dr. David Malan, a computer science professor there. 96,004 students were already enrolled in it.
You can also learn how to code and “debug” it, both of which are essential skills for future coders.
It’s ideal for students who want to learn Python but don’t have prior programming experience. You may develop your Python abilities as well as study fundamental topics.
The topics covered are:
– Functions, arguments, return values
– Variables, types
– Conditionals, Boolean expressions
– Loops
– Objects, methods
– Exceptions
– File I/O
– Libraries
Top Features
- This is one of the most effective pythons for beginners’ courses available.
- For this course, students must spend 3-9 hours each week for 9 weeks.
- This course is self-paced, allowing you to study at your own pace.
Pricing
This course is audited for free for a limited time and for $199 for a verified track that provides unlimited access and completion certification.
9. Python Basics for Data Science (IBM)
Overview
This course Python Basics for Data Science is designed for beginner-friendly instruction for Data Science. You can practice Python scripting by doing lab exercises.
499,082 students are already enrolled. This will help you be ready to create your own scripts.
You may begin by building your own data science projects and engaging with other data scientists using IBM Watson Studio.
The topics covered are:
– Module 1: Python Basics
– Module 2: Python Data Structures
– Module 3: Python Programming Fundamentals
– Module 4: Working with Data in Python
– Module 5: Working with Numpy Arrays
Top Features
- You may spend 4-10 hours each week for 3 weeks to complete this course.
- This course is self-paced, so you can study at your own speed.
- Students who pass this IBM course can earn a skill badge, which is a more detailed, verifiable, and digital credential that documents the knowledge and skills you’ve gained throughout the course.
Pricing
This course is free for audit track for limited-time access and $99 for a verified track that provides unlimited access and a certificate of completion.
10. Learn Intermediate Python (Udacity)
Overview
This course is a Nanodegree program that teaches you how to apply Python and simplify the functionality of applications that perform complicated activities such as classifying files, mining a website for information, etc.
This is a course for people who are already familiar with basic programming in Python. In this course, you will be covering intermediate-level topics in Python.
By the end of the program, you will have a portfolio that demonstrates your capacity to apply expert-level Python abilities on the job.
The topics covered are:
– Course 1: Advanced Python Topics
Representing Data
Functions and Functional Programming
Object-Oriented Programming
File I/O
Project: Near-Earth Objects
– Course 2: Large Codebases with Libraries
Foundations
Building Modules
Using Libraries
Python in Systems
Python for Web
Project: Meme Generator
Top Features
- This course will demand that you spend approximately 2 months and 10 hours each week studying.
- This course is self-paced so that you can make a learning plan that works with your hectic schedule
- You’ll learn technical skills through real-world projects and immersive content developed in collaboration with top-tier businesses.
- Udacity’s mentorship focuses on assisting you in learning, answering your questions, boosting your motivation, and keeping you on track.
Pricing
There are two different options for pricing this course. The first option is monthly access for $399 per month. The second option is 2-month access for $678, which is a 15% discount.
11. AI Programming with Python (Udacity)
Overview
This is an intermediate-level Python class.
This course covers the fundamentals of AI: the programming languages (Python, NumPy, PyTorch), as well as essential math (calculus and linear algebra) that allows you to get started creating your own AI applications in only three months.
This course teaches students the fundamentals of neural networks (gradient descent and backpropagation) as well.
This training is designed for those with preknowledge of programming and basic algebra.
The topics covered are:
– Introduction to Python
– Jupyter Notebooks, NumPy, Anaconda, pandas, and matplotlib
– Linear Algebra Essentials
– Calculus Essentials
– Neural Networks
Top Features
- You will be assigned to study for 3 months and 10 hours each week for this course.
- This course is self-paced learning.
- You’ll learn technical expertise through real-world projects.
- Udacity’s mentorship is designed to help you learn, answer your questions, increase your motivation, and keep you on track.
Pricing
This training has two different pricing options. The first is a monthly subscription for $399 per month. The second option is 3-month access for $1017, which is a 15 percent discount.
12. Python Data Science Toolbox (Part 1)
Overview
This course Python Data Science Toolbox (1) is an intermediate-level course focusing on data science enrolling 312,767 students.
This course is part of the following tracks: Data Scientist with Python, Python Fundamentals, and Python Programming.
You will learn how to use Python to write code that is specific to the task at hand. You will also learn how to handle errors in your code.
The topics covered are:
– Writing your own functions
– Default arguments, variable-length arguments, and scope
– Lambda functions and error-handling
Top Features
- To complete this course, you’ll need to watch 12 videos for 3 hours.
- This course provides 46 exercises that you can do to learn more about the topic.
- This course is self-paced, so you may study at your own pace.
Pricing
The first session is free, but after that, you must pay for a subscription.
DataCamp provides a monthly membership. The premium plan costs $35 per month and is shown in the illustration above.
If you pay for a one-year subscription, it will cost $149 per year or $12.42 monthly.
13. Python Data Science Toolbox (Part 2)
Overview
In this Python Data Science Toolbox (2) course, you’ll further develop your Python data science abilities following Python Data Science Toolbox (1).
There are 204,219 students enrolled in this course.
This course is part of the following tracks: Data Scientist with Python, Python Fundamentals, and Python Programming.
The topics covered are:
– Using iterators in PythonLand
– List comprehensions and generators
– Bringing it all together!
Top Features
- In order to complete this course, you will need to watch 12 videos for 4 hours.
- There are 46 exercises for practice.
- This course is self-paced, allowing you to study at your own pace.
Pricing
There is no additional cost for the first session, but after that, you must pay for a subscription.
What is Python Programming Language?
Python is a widely used high-level interpreted language that is known for its ease of use and readability.
It was created by Guido van Rossum in 1989 and has since become one of the most popular programming languages in the world.
Python is known for its ease of use and readability, making it a great choice for beginners as well as experienced programmers.
Python is a popular, open-source programming language that can be used to create sophisticated applications and automatons. There are tons of benefits to learning Python.
FAQ
What is Python programming used for?
Python is a versatile language that can be used for a wide variety of purposes. Some of the most common applications of Python include scripting, web development, data analysis, artificial intelligence, and scientific computing.
Python is a popular choice for scripting because it is easy to learn and has very intuitive syntax. This makes it a great language for those just starting out in coding. Python is also versatile and can be used for a wide variety of applications, from web development to data science.
How do I start programming Python?
The best way to start learning Python is by taking an online course. There are a number of great courses available, and most of them are free or inexpensive. Here are some best online course platforms.
edX offers a number of excellent Python courses, including Introduction to Python for Data Science and Machine Learning, which is perfect for beginners. The course covers basic concepts such as variables, data types, and flow control. It also introduces students to the NumPy library for scientific computing.
DataCamp offers a course on Introduction to R, which is perfect for those who want to learn Python for data analysis. The course covers basic concepts such as importing data, cleaning data, and visualizing data. It also introduces students to the Panda’s library for data analysis.
Udacity offers a course on Introduction to Computer Science, which is perfect for those who want to learn Python for web development. The course covers basic concepts such as HTML, CSS, and JavaScript. It also introduces students to the Flask framework for web development.
Which is better Java or Python?
Python and Java are two of the most popular and widely used programming languages. Because Java is a compiled language, it is generally faster and more efficient than Python.
Python, as an interpreted language, has a simpler syntax than Java because it is an interpreted language. In fewer lines of code, it can accomplish the same function as Java.
Is Python enough to get a job?
Python is enough to land an entry-level position. However, in order to progress in the data science business, you’ll need to acquire additional abilities, such as strong SQL or proficiency with other languages.
Keep in mind that a company does not want a Python coder; it wants someone who can utilize Python to solve issues.
Conclusion
Python is a popular choice for scripting because it is easy to learn and has very intuitive syntax. This makes it a great language for those just starting out in coding.
Python is also versatile and can be used for a wide variety of applications, from web development to data science.
If you follow the suggested courses, you can become a professional programmer in Python. These courses will provide you with the necessary skills and knowledge to be a successful programmer.
With the right attitude and dedication, you can achieve your goal of becoming a professional programmer in Python.
