9 Best Python certification Courses to check on Coursera
An open online learning platform called Coursera offers post-secondary courses from the best academic institutions across the world.
The majority of courses are offered for free, and they involve reading, participating in discussions with other students, seeing lecture videos and presentations, and finishing projects and tests.
With the use of massively open online courses, Coursera has partnered with prestigious universities and educational institutions around the United States and beyond (M.O.O.C.s).
Coursera provides classes in a variety of disciplines, including business, engineering, computer science, social science, and more!
These courses are offered in numerous nations across the globe, and some of them even count toward earning a degree!
We have separated the 9 Best Python certification Courses to check on coursera.
here they are, one by one.
Course 1
Rating: 4.8/5
Provider: University of Michigan
Status: Online
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.
This course is made up of 5 sub 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 by doing this course:
- JSON
- XML
- Python programming
- Databases
- Python syntax and Semantics
- Basic Programming Language
- Computer Programming
- Data Structure
- Tuple
- Web scraping
- Sqlite
Benefits of this course:
- Shareable Certificate
- Flexible Schedule
- Practice Quizzes
- Graded Programming Assignments
Interested to Enroll?
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Course 2
Rating: 4.8/5
Provider: Google
Status : Online
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
This course is made up of 6 sub 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 from this course:
- 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?
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Course 3
Rating: 4.7/5
Provider: University of Michigan
Status: Online
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, 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.
This course is made up of 5 sub 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 from this course:
- Json
- Computer Programming
- Python Programming
- Sorting
Benefits of this course:
- 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?
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Course 4
Rating: 4.8/5
Provider: Google
Status: Online
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 from this course:
- Basic Python Data Structures
- Fundamental programming Concepts
- Basic Python Syntax
- Python programming
- OOP
Benefits of this course:
- Affordable programs
- Apply your skills with hands-on projects
- Learn on your own schedule
- Graded quizzes and assignments
Interested to Enroll?
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Course 5
Rating:4.5
Provider: Codio
Status : Online
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.
This course is made up of 4 sub 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?
Course 6
Rating : 4.8
Provider: University of Michigan
Status: Online
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.
This course is made up of 4 sub 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?
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Rating: 4.6
Provider: IBM
Status : Online
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.
This course is made up of 5 sub Courses:
- Python Basics
- Python data structures
- Python Programming Fundamentals
- Working with data in Python
- APIs and Data Collection
Interested to Enroll?
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Rating: 4.5
Provider: University of Michigan
Status: Online
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.
They want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits.
Toolkits -Such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data.
This course is made up of 5 sub 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 from this course:
- 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?
Rating: 4.6/5
Provider: IBM
Status : Online
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.
This course is made up of 3 sub Courses:
- Tools for Data Science
- Python for Data Science, AI, and Development
- Python Project for Data Science
Skills you will gain from this course:
- Data Science
- Github
- Python Programming
- Jupyter notebooks
- Rstudio
- Data Analysis
- Pandas
- Numpy
- Ipython
- Probability and Statistics
- Regression Analysis
- Data Visualization
Interested to Enroll?
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