Here is the list of the Best Python Courses on Coursera in 2022 to learn. Read this list of Best Python Courses on Coursera and if you found any Best Python Courses on Coursera are missing please comment on the Best Python Courses on Coursera name so that we can add them and update the list.
Python for Everybody Specialization:
Rating: 4.8/5
Provider: University of Michigan
This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.
Courses:
- Programming for everybody
- Python data structures
- Using python to access web data
- Using databases with Python
- capstone: Retrieving, processing, and Visualizing Data with Python
Skills you will gain:
- JSON
- XML
- Python programming
- Databases
- Python syntax and Semantics
- Basic Programming Language
- Computer Programming
- Data Structure
- Tuple
- Web scraping
- Sqlite
Benefits:
- Shareable Certificate
- Flexible Schedule
- Practice Quizzes
- Graded Programming Assignments
Interested to Enroll?
If yes then check out all the details and watch a free demo on Python for Everybody
Google IT Automation with Python:
Rating: 4.8/5
Provider: Google
This beginner-level, six-course certificate, developed by Google, is designed to provide IT professionals with in-demand skills — including Python, Git, and IT automation — that can help you advance your career.
This program builds on your IT foundations to help you take your career to the next level. It’s designed to teach you how to program with Python and how to use Python to automate common system administration tasks. You’ll also learn to use Git and GitHub, troubleshoot and debug complex problems, and apply automation at scale by using configuration management and the Cloud.
This certificate can be completed in about 6 months and is designed to prepare you for a variety of roles in IT, like more advanced IT Support Specialist or Junior Systems Administrator positions.
Learn how to program with Python with no previous knowledge of coding required and you’ll use Python to automate common system administration tasks
Learn to use Git and GitHub, to troubleshoot and debug complex problems. Apply automation at scale by using configuration management and the Cloud.
Practice your technical skills with hands-on projects including a capstone project where you’ll use your new knowledge to solve a real-world IT problem
Courses:
- Crash Course on Python
- Using python to interact with the Operating System
- Introduction to GIT and GITHub
- Troubleshooting and Debugging Techniques
- Configuration Management and the Cloud
- Automating real world task with Python
Skills you will gain:
- Using version control
- Troubleshooting and Debugging
- Python Programming
- Configuration management
- Automation
- Basic Python Data Structures
- Fundamental Programming concepts
- Basic Python Syntax
- OOP
- Regular Expression
- Testing in Python
Interested to Enroll?
If yes then check out all the details and Watch a free demo on Google IT Automation with Python Development
Python 3 Programming Specialization:
Rating: 4.7/5
Provider: University of Michigan
This specialization teaches the fundamentals of programming in Python 3. You will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance.
By the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer.
This specialization is a good next step for you if you have completed Python for Everybody but want a more in-depth treatment of Python fundamentals and more practice so that you can proceed with confidence to specializations like Applied Data Science with Python.
By the end of the second course, you will create a simple sentiment analyzer that counts the number of positive and negative words in tweets. In the third course, you will mash up two APIs to create a movie recommender. The final course, Python Project: pillow, tesseract, and opencv (Course 5), is an extended project in which you’ll perform optical character recognition (OCR) and object detection in images.
Courses:
- Python Basics
- Python Functions, files and Dictionaries
- Data Collection and Processing with Python
- Python Classes and Inheritances
- Python Project: pillow, tesseract, and opencv
Skills you will gain:
- Json
- Computer Programming
- Python Programming
- Sorting
Benefits:
- Shareable Specialization and Course Certificates
- course Videos & Readings
- Practice Quizzes
- Graded Assignments with Peer Feedback
- Graded Quizzes with Feedback
- Graded Programming Assignments
Interested to Enroll?
If yes then check out all the details and Watch a free demo on Python 3 Programming
Crash Course on Python:
Rating: 4.8/5
Provider: Google
This course is designed to teach you the foundations in order to write simple programs in Python using the most common structures. No previous exposure to programming is needed.
By the end of this course, you’ll understand the benefits of programming in IT roles; be able to write simple programs using Python; figure out how the building blocks of programming fit together; and combine all of this knowledge to solve a complex programming problem.
You’ll start off by diving into the basics of writing a computer program. Along the way, you’ll get hands-on experience with programming concepts through interactive exercises and real-world examples.
You’ll quickly start to see how computers can perform a multitude of tasks — you just have to write code that tells them what to do.
Skills you will gain:
- Basic Python Data Structures
- Fundamental programming Concepts
- Basic Python Syntax
- Python programming
- OOP
Benefits:
- Affordable programs
- Apply your skills with hands-on projects
- Learn on your own schedule
- Graded quizzes and assignments
Interested to Enroll?
If yes then check out all the details and Watch a free demo on Crash Course on Python
Programming in Python: A Hands-on Introduction Specialization
Rating:4.5
Provider: Codio
This specialization is intended for people without programming experience who seek to develop python programming skills and learn about the underlying computer science concepts that will allow them to pick up other programming languages quickly.
These topics will help prepare you to write anything from small programs to automate repetitive tasks to larger applications, giving you enough understanding of python to tackle more specialized topics such as Data Science and Artificial Intelligence.
You will create a variety of practical projects including helpful scripts that can speed up everyday tasks such as an automated file updater. Later projects use the PyGame library to animate graphical output for a variety of projects, including creating a FlappyBird game.
Courses:
- Python Basics: Selection and Iteration
- Python Basic Structures: Lists, Strings, and Files
- Python Object Basics: Functions, Recursions, and Objects
- Object-Oriented Python: Inheritance and Encapsulation
Interested to Enroll?
If yes then check out all the details and Watch a free demo on Programming in Python
Django for Everybody Specialization:
This specialization introduces Python programmers to building websites using the Django library. Across the four courses, you will learn HTML, CSS, SQL, Django, JavaScript, jQuery, and JSON Web Services.
During the course, you will build online websites using Django and those working websites are graded throughout the course. This series is excellent preparation for learning other ways to build web applications using technologies like PHP (Web Applications for Everybody), Flask or Ruby on Rails. This is a great first course in any web development curriculum.
Learners are encouraged to take the Python for Everybody Specialization or equivalent before beginning this specialization. Some may find it helpful to take the Web Design for Everybody Specialization before or after this series.
You will have built a simple website to store and view classified ads with features like photos, searches, and favourites. This website will be in production and could be added to a student’s portfolio.
Courses:
- Web Application Technologies and Django
- Building Web Applications in Django
- Django Features and Libraries
- Using Javascript, JQuery and JSON in Django
Interested to Enroll?
If yes then check out all the details and Watch a free demo on Django for Everybody
Python for Data Science, AI and Development:
Rating: 4.6
Provider: IBM
This course will take you from zero to programming in Python in a matter of hours—no prior programming experience necessary! You will learn Python fundamentals, including data structures and data analysis, complete hands-on exercises throughout the course modules, and create a final project to demonstrate your new skills.
By the end of this course, you’ll feel comfortable creating basic programs, working with data, and solving real-world problems in Python. You’ll gain a strong foundation for more advanced learning in the field, and develop skills to help advance your career.
Courses:
- Python Basics
- Python data structures
- Python Programming Fundamentals
- Working with data in Python
- APIs and Data Collection
Interested to Enroll?
If yes then check out all the details and Watch a free demo on Python for Data Science, AI & Development
Applied Data Science with Python:
Rating: 4.5
Provider: University of Michigan
The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language.
This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data.
Courses:
- Introduction to data science in Python
- Applied plotting, Charting and Data representation in python
- Applied Machine Learning in Python
- Applied Text Mining in Python
- Applied Social Network Analysis in Python
Skills you will gain:
- Text Mining
- Python Programming
- Pandas
- Matplotlib
- Numpy
- Data Cleansing
- Data Virtualization
- Data Visualization
- Machine Learning Algorithm
- Machine Learning
- Scikit
- Natural Language Toolkit
Interested to Enroll?
If yes then check out all the details and Watch a free demo on Applied Data Science with Python
Data Science fundamentals with Python and SQL Specialization:
Rating: 4.6/5
Provider: IBM
Data Science is one of the hottest professions of the decade, and the demand for data scientists who can analyze data and communicate results to inform data driven decisions has never been greater.
This Specialization from IBM will help anyone interested in pursuing a career in data science by teaching them fundamental skills to get started in this in-demand field.
The specialization consists of foundational skills required for Data Science, including open source tools and libraries, Python, Statistical Analysis, SQL, and relational databases. You’ll learn these data science pre-requisites through hands-on practice using real data science tools and real-world data sets.
Upon successfully completing these courses, you will have the practical knowledge and experience to delve deeper in Data Science and work on more advanced Data Science projects.
All courses in the specialization contain multiple hands-on labs and assignments to help you gain practical experience and skills with a variety of data sets. The projects range from building a dashboard with Python, analyzing socio-economic data with SQL, and performing regression analysis with housing data.
Courses:
- Tools for Data Science
- Python for Data Science, AI, and Development
- Python Project for Data Science
Skills you will gain:
- Data Science
- Github
- Python Programming
- Jupyter notebooks
- Rstudio
- Data Analysis
- Pandas
- Numpy
- Ipython
- Probability and Statistics
- Regression Analysis
- Data Visualization
Interested to Enroll?
If yes then check out all the details and Watch a free demo on Data Science Fundamentals with Python and SQL
Python Data Structures:
Rating: 4.9
Provider: University of Michigan
This course will introduce the core data structures of the Python programming language. You will move past the basics of procedural programming and explore how you can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis.
Courses:
- Strings
- Installing and using Python
- Files
- Lists
- Dictionaries
- Tuples
Interested to Enroll?
If yes then check out all the details and Watch a free demo on Python Data Structures
Using Python to Access Web Data:
Rating: 4.8
Provider: University of Michigan
This course will show how one can treat the Internet as a source of data. You will scrape, parse, and read web data as well as access data using web APIs. You will work with HTML, XML, and JSON data formats in Python.
These topics include variables and expressions, conditional execution (loops, branching, and try/except), functions, Python data structures (strings, lists, dictionaries, and tuples), and manipulating files.
Courses:
- Introduction
- Regular Expressions
- Networks and Sockets
- Programs that surf the Web
- Web Services and XML
- JSON and REST Architecture
Interested to Enroll?
If yes then check out all the details and Watch a free demo on Using Python to Access Web Data
Using Databases with Python:
Rating: 4.8
Provider: University of Michigan
This course will introduce students to the basics of the Structured Query Language (SQL) as well as basic database design for storing data as part of a multi-step data gathering, analysis, and processing effort.
The course will use SQLite3 as its database. You will also build web crawlers and multi-step data gathering and visualization processes. You will use the D3.js library to do basic data visualization.
Courses:
- Object Oriented Python
- Basic Structured Query Language
- Data Models and Relationships in SQL
- Many-to-Many Relationships in SQL
- Databases and Visualization
Interested to Enroll?
If yes then check out all the details and Watch a free demo on Using Data Bases with Python
Capstone Retrieving, processing, and Visualizing Data with Python:
Rating: 4.7
Provider: University of Michigan
In the capstone, you will build a series of applications to retrieve, process and visualize data using Python. The projects will involve all the elements of the specialization. In the first part of the capstone, you will do some visualizations to become familiar with the technologies in use and then will pursue their own project to visualize some other data that they have or can find.
Courses:
- Introduction
- Building a search Engine
- Exploring Data Sources
- Spidering and Modeling Email Data
- Accessing New Data Sources
- Visualizing email data
- Visualizing new Data Sources (Project)
Interestred to Enroll?
If yes then check out all the details and Watch a free demo on Capstone Retrieving, Processing, and Visualizing data with Python
Conclusion:
Up to now, we have discussed the Best Python Courses on Coursera, and also some Best Python Courses on Coursera for Beginners to Advanced Learners.
Still, if you find some of the Best Python Courses on Coursera for beginners to advanced are missing then please comment in the comment section. Thanks for reading the Best Python Courses on Coursera for beginners.