The reasons for this wide popularity of Python are: It is easy to learn, it has a simple syntax, it has a Vast Library Collection, there are Several Tools, can be used in a Variety of Applications (small embedded systems to complex machine learning and data science and AI). So, in this article, we handpicked some of the Best Python Courses that available on different online platforms. You can use these courses if you are new to programming and want to learn Python Programming Language or want to brush-up your Python skills or want to practice some Python projects as preparation for your new or next job.
Comparison of Best Python Courses
Best Python Courses
Let us dive into the Best Python Courses Online. We selected all the courses mentioned in this article from Coursera and Udemy, the two most popular online learning platforms. The main difference between these two platforms is Coursera offers university style courses which require long but flexible schedule and often takes months to complete a course.
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Udemy on the other hand is an on-demand style course which have several hours of video content (usually 20 – 30 hours depending on the course). As the courses in Coursera are a bit elaborative, you need to dedicate a lot of time (months) to properly complete a course and get your certificate. The prices of the courses in Coursera are also a little bit high (there is an option of financial aid). If any or both of these are an issue, then courses in Udemy are an excellent alternative. The duration of the courses as well their prices are significantly less in Udemy. If you want a university style course with in-depth subject explanation, then you should go for Coursera. If you want to quickly finish a course (just to learn the basics or brush-up your skills), then Udemy is affordable and time saving. If you are interested in reading some Python Programming Language Books, then here are the Top 10 Best Python Books that you can check out.
1. Python for Everybody
If you are a beginner without any prior experience in programming, then this course is one of the best ‘Getting Started’ courses for Python. It is available in Coursera and is offered by University of Michigan. This specialization is combination of 5 courses. In the first course, you will learn the basics of computer programming with the help of Python Programming Language starting with installing and writing your first program in Python all the way to loops and functions. In the subsequent courses, you will be focusing on Data Structures, using Python to access web data (network and sockets), using databases with Python and finally a capstone project to build applications. Key Topics Covered
Installing Python and Writing First Python Program Basics of Python Variable, Functions and Loops Principles of Data structures Read / Write Data from / to files Multi-step tasks such as sorting and looping using Tuples Web browser protocols and XML Data Extract data from websites and APIs Work with Databases Basics of OOP in Python Basics of Search Engine E-mail Data Visualizations
Platform: Coursera Duration: Approximately 8 Months Rating: 4.8/5 Certificate: Yes Level: Beginner Learn More
2. Python 3 Programming Specialization
Another beginner-oriented Python course from Coursera is the Python 3 Programming Specialization. This course from University of Michigan will definitely help you become a fluent and independent Python programmer. Like the previous course even this course consists of 5 courses but unlike the previous course, this specialization focuses only on mastering Python. You will start with the basics of Python and move on to control structures, strings, lists, functions, files, internet data collection and processing, classes and inheritance and finally work with a hands-on project using third party libraries (pillow, tesseract and OpenCV). Key Topics Covered
Basics of Python 3 Control Structures, Strings, Lists Functions and Tuples Fetch and Process Data from Internet and REST APIs Python Classes, Instances and Inheritance Hands-on project using third-party APIs
Platform: Coursera Duration: 5 Months Rating: 4.7/5 Certificate: Yes Level: Beginner Learn More
3. Google IT Automation with Python
If you are looking for a career in IT Automation, then this course is for you. It is called Google IT Automation with Python and is available in Coursera. As the name suggests, this course is offered by Google. One of the main applications of Python Programming Language is automation. This beginner-level course helps you in learning Python, Git and IT Automation as automating frequently performed administrative tasks using Python is an essential IT job requirement. Apart from Python, you will also learn about Git and GitHub, work with complex problems and automation using the Cloud. Practice all the skills you learned in this course with a hands-on project to solve a real-time IT problem. Key Topics Covered
Fundamentals of Python Python Strings, Lists and Dictionaries Objects and Python Scripts for small automation Manipulate OS Files and Processes Understand regex Introduction to Version Control, Git and GitHub Analyze and solve real-time IT problems Deploy VMs in the Cloud APIs to interact with web services
Platform: Coursera Duration: 8 Months Rating: 4.8/5 Certificate: Yes Level: Beginner Learn More
4. IBM Data Science
A very useful Python related course from IT giant IBM called the IBM Data Science. It is also available in Coursera and it focuses and data sciences and machine learning using Python. This is a very detailed specialization that consists of 9 important courses focusing on Data Science. If you are looking for a career opportunity in Data Science and Machine Learning, then this course from IBM will definitely help you with that. There is a myth that only Ph.D.’s are eligible to become data scientists. This is not true and anyone with right knowledge in data science and machine learning can build a portfolio to become a data scientist. In this course, you will learn basics of Python, databases (SQL), data visualization and analysis, predictive leaning and ML algorithms. You will also get a hands-on experience working with real data science tools used by IBM. Key Topics Covered
Basics of Data Science and its applications Different Data Science Tools How to practice Data Science Steps to tackle a Data Science Problem Basics of Python and Python for Data Science Project using Python How to use Databases and SQL with Python for Data Science Data analysis and visualization using Python Basics of Machine Learning using Python Capstone project with real-time data science project
Platform: Coursera Duration: 11 Months Rating: 4.6/5 Certificate: Yes Level: Beginner Learn More
5. Deep Learning Specialization
The next Python Course from Coursera is designed at intermediate level and is offered by DeepLearning.AI. You need some basic knowledge of Python programming to enroll in this course. Deep Learning is a key concept in the development of AI Technology. This is a foundation course in Deep Learning that will help you understand its capabilities and challenges. In this course, you will learn to build neural network architectures (both convolutional and recurrent neural networks) using Python and TensorFlow. You will also learn to work with real-time applications such as voice recognition, chatbots, machine translation and natural language processing. Key Topics Covered
Basics of Deep Learning and Neural Networks Hyperparameter Tuning, Regularization, Optimization Build Machine Learning Project Understand ML Settings Convolutional Neural Networks to Image, Video and 2D/3D Data Build Recurrent Neural Networks Sequence Models and their Applications
Platform: Coursera Duration: 5 Months Rating: 4.9/5 Certificate: Yes Level: Intermediate Learn More
6. Complete Python Bootcamp From Zero to Hero in Python
There are dozens of highly rated Python courses in Udemy and the ‘Complete Python Bootcamp from Zero to Hero in Python’ is one among them. This course is presented by Jose Portilla and has over 22hours of video content. As this course is aimed for beginners as well as intermediate level users, it contains all the basics of Python right from installation and writing your first Python program to developing games using Python programming language. With more than 100 lectures in 23 sections, you will learn the syntax of Python, Strings, Lists, Dictionaries, Tuples, Functions etc. You will also learn some real-world tasks such as using Python for sending e-mails, working with PDFs and images, reading excel files etc. Key Topics Covered
Basics of Command Line Installing and Running Python Strings, Lists, Dictionaries, Tuples and Sets Data Types, Scope, Modules and Functions Debugging and Error Handling OOP, Inheritance, Polymorphism
Platform: Udemy Duration: 22h 13m Rating: 4.6/5 Certificate: Yes Level: Beginner to Intermediate Learn More
7. The Modern Python 3 Bootcamp
Another introductory Python course is ‘The Modern Python 3 Bootcamp’. It is also available in Udemy and is created by Colt Steele. This course has over 30 hours of video content and is aimed at beginners without any previous programming experience. Apart from the main Python content, this course has several tasks and challenges to test the things you learned till that point. Rather than just watching the video, you will be actually writing the Python along with the instructor. As Python 3 is completely evolved and adapted everywhere, this course also focuses on Python 3 so that you will be up-to-date with the latest Python developments. As far as the contents of this course are concerned, you get the basics of Python, installation in different kinds of machines (Windows, Mac and Linux), Numbers, Operators, Variables and Strings. Besides the fundamentals, this course also teaches some advanced topics such as Web Scraping, Crawling and Testing. Key Topics Covered
Basics and Installation of Python 3 Command Line Fundamentals in Windows, Mac and Linux Numbers, Strings, Operators and Variables Boolean and Conditional Logic Loops, Lists, Dictionaries and Tuples Functions and Modules OOP Concepts CSV, Web Scraping, SQL, File IO
Platform: Udemy Duration: 30h 17m Rating: 4.7/5 Certificate: Yes Level: Beginner Learn More
8. Automate the Boring Stuff with Python Programming
While the previous two courses are focusing on the Basics of Python, the ‘Automate the Boring Stuff with Python Programming’ course is a bit practical in that aspect. It is created by Al Sweigart and is available in Udemy. With more than 9 hours 30 minutes of video content, you will learn Python Programming with practical applications such as automating different tasks on the computer with Python programs, text pattern recognition, generate and update Excel sheets, crawl websites, send e-mail notifications and many more. But if you are a beginner, then don’t worry. The initial sections in this course will help you out with all the fundamentals of Python programming. As you move along, you will step into more complex and practical programming. Key Topics Covered
Basics of Python (Installation, IDLE) Loops and Function Error Handling Lists, Dictionaries and Strings File IO and Debugging Web scraping Parsing PDFs and Excel sheets Automating the keyboard and mouse Sending emails and texts
Platform: Udemy Duration: 9h 30m Rating: 4.6/5 Certificate: Yes Level: Beginner Learn More
9. Machine Learning, Data Science and Deep Learning with Python
If you are already familiar with Python programming language and want to learn some advanced topics, then the next course is for you. This is the ‘Machine Learning, Data Science and Deep Learning with Python’ created by Sundog Education (Frank Kane) and is available in Udemy. We know that Python is the main programming language used in complex Machine Learning, Neural Networks, Data Science and Deep Learning. Once you completed the basics of Python and some advanced topics, the next logical step would be to learn these complex topics and this course will be a beginning point to that. You will learn how to build neural networks with TensorFlow, Machine Learning and Data Mining, working with real-world data, Deep Learning and a project with the help of 15 hours of video content. As this is a slightly advanced course, you must have a prior Python Programming knowledge as those topics are not covered here. Key Topics Covered
Installing Anaconda Statistics and Probability Predictive Models Machine Learning and Data Mining Deep Learning and Neural Networks using TensorFlow Variational Auto-Encoders
Platform: Udemy Duration: 15h 36m Rating: 4.7/5 Certificate: Yes Level: Intermediate Learn More
10. The Python Mega Course: Build 10 Real World Applications
Yet another practical Python programming course is ‘The Python Mega Course’. This course is available on Udemy and is created by Ardit Sulce. You can learn Python programming by creating 10 real-world applications with this course. With over 33 hours of video content, this is one of the lengthiest Python Courses on Udemy. The initial sections of this course deals with basics of Python programming and as you progress through the sections, you will learn about Functions, Modules, File Processing etc. After learning all the basics, you will then move on to some real-world applications such as working on CSV, Excel and JSON files with Python, Image and Video Processing, Web Mapping, Webcam Control, Data Analysis and Visualization, Databases, OOP, and many more. Key Topics Covered
Getting Started with Python Loops, Functions and Modules Using Python Programming for CSV, JSON and Excel Web Mapping with Python Data Analysis and Visualization with Pandas, Matplotlib and in-browser plots Build a personal website with Flask Develop a Mobile App
Platform: Udemy Duration: 33h 19m Rating: 4.6/5 Certificate: Yes Level: Beginner Learn More
Conclusion:
That’s the list of some of the popular and Best Python Courses you can take online. Whether you are a beginner to Python or looking for a job in Python Programming, these courses will be definitely helpful as they are prepared by professionals and have good feedback. If you have any suggestions or recommendations regarding Online Python Courses, then do comment below. Comment * Name * Email * Website
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