Best Online Python Course From Top Universities [2023]
If you are looking for the best online Python course then you may already know the importance of Python in today’s technology world. Nonetheless, let me introduce you to some facts.
An empirical study found that scripting languages, such as Python, are more productive than conventional languages, such as C and Java, for programming problems involving string manipulation and search in a dictionary, and determined that memory consumption was often “better than Java and not much worse than C or C++”
Many large or small companies use python as their primary programming language. Python is now the most in-demand programming language by employers.
If you are in technology field or are looking to make a career in technology, you just can’t escape learning python. It could give you a big leap in your career.
So, let’s start with the list of all the best online python courses on different eLearning platforms.
Best Online Python Course: Certificate and University Accreditation
Coursera
Coursera is among one the platforms that offer the most legitimate certification. Its certificate are industry-recognized. You can know more about Coursera accreditation here.
You have to pay for the certification but, alternatiely, you can apply for Courseral financial aid.
Coursera offers “specialization” from different universities made from a group of courses.
Here is a list of python specializations in Coursera
Python for Everybody Specialization (University of Michigan)
Learn to Program and Analyze Data with Python. Develop programs to gather, clean, analyze, and visualize data.
This Specialization 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 data retrieval, processing, and visualization applications.
What Will You Learn?
- Install Python and write your first program
- Describe the basics of the Python programming language
- Use variables to store, retrieve and calculate information
- Utilize core programming tools such as functions and loops
Skill to develop
- Json
- Xml
- Python Programming
- Database (DBMS)
- Python Syntax and Semantics
- Basic Programming Language
- Computer Programming
- Data Structure
- Tuple Web Scraping
- SQLite
- SQL
There are 5 Courses in this Professional Certificate
- Programming for Everybody (Getting Started with Python)
- Python Data Structures
- Using Python to Access Web Data
- Using Databases with Python
- Capstone: Retrieving, Processing, and Visualizing Data with Python
You need to complete all courses in order to gain certificate.
Features
- Shareable Certificate – Earn a Certificate upon completion
- 100% online courses – Start instantly and learn at your own schedule.
- Flexible Schedule – Set and maintain flexible deadlines.
- Beginner Level – No prior experience required.
- Approximately 8 months to complete – Suggested pace of 3 hours/week.
- Subtitles: English, Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Vietnamese, Korean, German, Russian, Turkish, Spanish
Things I Don’t Like
- The certificate is designed for beginners only
Edx
Similar to Coursera, edX offers university certification and financial aids.
It contains many types of courses and programs. “Programs” are a group of courses in a particular order to learn a skill.
Some of the python programs are mentioned below.
XSeries Program in Computational Thinking using Python (MIT)
The courses in the XSeries are designed to help people with no prior exposure to computer science or programming.
It will help you in thinking computationally and writing programs to tackle problems.
The first course covers computation, the Python programming language, simple algorithms, testing and debugging, informal introduction to algorithmic complexity, and some simple algorithms and data structures.
The second course will teach you how to use computation to accomplish various goals and provide you with a brief introduction to various topics in computational problem-solving.
What you will learn
- Programming
- Data structures
- Computational thinking
- Data science
- Algorithms
There are 2 Courses in this Professional Certificate
- Introduction to Computer Science and Programming Using Python
- Introduction to Computational Thinking and Data Science
Features
- Expert instruction
- 2 high-quality courses
- Assignments and exams have specific due dates
- 5 months – 14 – 16 hours per week
Professional Certificate in Introduction to Python Programming (Georgia Institute of Technology)
This course series is designed to take you from no computer science background whatsoever to proficiency in the basics of computing and programming, specifically in the popular programming language Python.
This course will give you a solid foundation not only for Python code but for further studies in computer science.
This professional certificate uses the same instructional material and assessments as learning Python on campus, giving you a Georgia Tech-caliber introduction into the field of computing at your own pace.
What you will learn
- The fundamental design cycle of computer science and computer programming: writing code, executing it, interpreting the results, and revising the code syntax based on the outcomes.
- Usage of the fundamental atoms of programming: variables, mathematical operators, logical operators, and Boolean arithmetic.
- Control structures for developing dynamic programs, including Python libraries: conditionals, loops, functions, and error handling.
- The core data structures for creating useful programs: strings, lists, dictionaries, and file manipulation.
- Previews of the next big topics in computer science: object-oriented programming skills, and computer algorithms.
There are 4 Courses in this Professional Certificate
- Computing in Python I: Fundamentals and Procedural Programming
- Computing in Python II: Control Structures
- Computing in Python III: Data Structures
- Computing in Python IV: Objects & Algorithms
Features
- Expert instruction
- 4 skill-building courses
- Self-paced progress at your own speed
- 5 months, 09-10 hours per week
Professional Certificate in Python Data Science (IBM)
You can start this course whether you are looking for a new job or an upgrade in your current position.
This five-course Data Science with Python Professional Certificate program aims to prepare you for a career in data science and machine learning.
It will help you to start developing data and analytical skills and launch your career in data science.
What you will learn
- Understand Python language basics and how they apply to data science.
- Practice iterative data science using Jupyter notebooks on IBM Cloud.
- Analyze data using Python libraries like pandas and NumPy.
- Create stunning data visualizations with matplotlib, folium, and seaborn.
- Build machine learning models using scipy and scikitlearn.
- Demonstrate proficiency in solving real life data science problems.
There are 4 Courses in this Professional Certificate
- Python Basics for Data Science
- Python for Data Science Project
- Analyzing Data with Python
- Visualizing Data with Python
- Machine Learning with Python: A Practical Introduction
- Data Science and Machine Learning Capstone Project
Features
- Expert instruction
- 6 skill-building courses
- Self-paced progress at your own speed
- 7 months – 3-4 hours per week
Future Learn
It is another monthly subscription-based platform where you can find all types of courses.
It offers its own certificate for each course. A particular path of courses to learn a skill is known as “ExpertTrack”.
Here is a list of ExpertTrack to learn python.
Data Analytics Using Python
Start learning how to collect, manipulate, and organise data and explore the data applications of Python.
After completing this course, you’ll have a deeper understanding of working with data and analytics and foundational knowledge of Python.
Skill to Develop
- Python
- Data Analytics
- Advanced data analytics
- Data wrangling
- Descriptive statistics
- Fundamental statistics
What Will You Learn?
- Compare data analytics and advanced data analytics
- Develop and utilize critical elements of programming language, Python
- Build and apply practical skill sets to complete data exploration and visualizations
- Demonstrate data ingestion using Python and various data types and data sources
- Demonstrate various data processing activities using data query language and data manipulation language.
There are 3 Courses in this Expert tracks
- Data Analytics Using Python: Statistics and Analytics Fundamentals
- Data Analytics Using Python: Learning Python Functions
- Data Analytics Using Python: Data Wrangling and Ingestion
You need to complete all courses to gain the certificate.
Features
- Approx. 12 weeks (4 hrs. per week)
- Earn course Certificates
- Learn at your own pace
- Introductory Level
Programming Applications with Python
You will start with reading and creating files and directories in Python, learning how Python is used for data collection, wrangling, and exploration.
Then you’ll discover the Tkinter Python library and explore how you can use it to make a successful GUI.
Skill to Develop
- Python
- Programming
- APIs
- Web Development
What Will You Learn?
- Identify key elements of data analysis using Python
- Identify and define key elements for web development and elements needed to create a GUI using Python
- Articulate key elements for APIs
- Identify and define key elements for web scraping using Python
There are 3 Courses in this Expert tracks
- Programming Applications with Python: Working with Files
- Programming Applications with Python: Graphics User Interface (GUI)
- Programming Applications with Python: Libraries and Web Scraping
Complete these courses and you’ll earn a Future Learn certificate
Features
- Approx. 12 weeks (4 hrs. per week)
- Earn course Certificates
- Learn at your own pace
- Introductory Level
Software Development with Python and Java
Practical exercises will test your theoretical knowledge allowing you to apply your new-found Python and Java skills and gain the confidence to use them in a professional setting.
Explore the programming language Python in-depth, looking at its dynamic semantics and keys aspects of the code syntax.
Also, learn how the variables, data types and operators, arrays, and control statements are used in Java.
Skill to Develop
- Python
- Java
- Software Development
- Programming
- Coding
What Will You Learn?
- Describe applications for Python and Java programming languages
- Create simple objects using Python and Java, independently
- Describe key characteristics, traits and careers pathways of a professional developer
There are 3 Courses in this Expert tracks
- Software Development with Python and Java: Understanding Python
- Software Development with Python and Java: Introducing Java
- Software Development with Python and Java: Prepare for a Software Development Career
Complete these courses and you’ll earn a Future Learn certificate
Features
- Approx. 12 weeks (4 hrs. per week)
- Earn course Certificates
- Learn at your own pace
- Introductory Level
DataCamp
Datacamp is a platform made especially for data science.
It offers you the first chapter of all courses free, but you will need to buy a monthly subscription if you want more than that.
Datacamp contains “Skill tracks” as a group of courses to learn a specific skill.
You can explore python skill tracks below
Python Fundamentals
In this track, you’ll learn the Python basics you need to start on your programming journey.
You will understand how to clean real-world data ready for analysis, use data visualization libraries, and even write your Python functions.
Find out how companies worldwide use Python to gain a competitive edge.
Through hands-on coding exercises, you’ll then learn how to store, manipulate, and explore data using NumPy.
Then it’s time to level up as you learn how to visualize your data using Matplotlib, manipulate Data Frames and dictionaries using pandas, and write your functions and list comprehension.
There are 4 Courses in this track
- Introduction to Python
- Intermediate Python
- Python Data Science Toolbox (Part 1)
- Python Data Science Toolbox (Part 2)
Features
- 15 hours total
- A lot of exercises (200+)
- Self-paced progress at your own speed
- Introductory Level
Machine Learning Fundamentals with Python
In this track, you’ll learn the fundamental concepts in Machine Learning.
You’ll augment your Python programming skillset with the toolbox to perform supervised, unsupervised, and deep learning.
You’ll learn how to process data for features, train your models, assess performance, and tune parameters for better performance.
In the process, you’ll get an introduction to natural language processing, image processing, and popular libraries such as Spark and Keras.
There are 5 Courses on this track
- Supervised Learning with scikit-learn
- Unsupervised Learning in Python
- Linear Classifiers in Python
- Case Study: School Budgeting with Machine Learning in Python
- Introduction to Deep Learning in Python
Features
- 20 hours total
- 200+ exercises
- Self-paced progress at your own speed
- Intermediate Level
365 Data Science
Its another learning platform for data science. Offer 34 hours of watch time and 50+ exercises per month for free.
You can subscribe monthly to get a certification, expand watch time, or other supports.
They offer 365 Data Science certification after completing a course.
Introduction to Python
This course will show you the technical advantages it has over other programming languages.
You will start working with its modules for scientific computing, and you will begin to understand why these functionalities make Python the preferred choice in finance, econometrics, economics, data science, and machine learning.
There are 8 Modules in this Course
- Why Python?
- Python Variables and Data Types
- Basic Python Syntax
- More on Operators
- Conditional Statements
- Functions
- Sequences
- Iteration
Features
- 2 hours total
- 36 Lessons
- 20 Quizzes
- Self-paced progress at your own speed
- Introductory Level
The Complete Data Visualization Course with Python, R, Tableau, and Excel
This course is based on four different technologies – Excel, Tableau, Python, and R to complete your data visualization skillset.
It’s for you if you are looking to deepen their understanding of creating meaningful and compelling visualizations.
Whether you’re coming from a business or data science-related field, knowledge in data visualization is both essential and advantageous.
Each section is dedicated to a specific type of chart – bar charts, pie charts, area charts, line charts, and many more.
In addition, some lectures specifically explore what to avoid when creating a specific graphic.
There are 12 Modules in this Course
- Introduction
- Setting Up the Environments
- Bar Chart
- Pie Chart
- Stacked Area Chart
- Line Chart
- Histogram
- Scatter Plot
- Combo Plots Part 1 – Regression Plot
- Combo Plots Part 2 – Bar and Line Chart
- Advanced Topics – Dashboard in Excel
- Advanced Topics – Dashboard in Tableau
Features
- 8 hours total
- 100 Lessons
- 4 Quizzes
- 8 Assignments
- Self-paced progress at your own speed
- Intermediate Level
Data Preprocessing with NumPy
If you want to learn about working with one of Python’s fundamental packages NumPy, this is for you.
You will learn what a “package” is and see how to install, upgrade and import it.
This course will teach you about how to slice and reduce the dimensions of its instances, as well as how to quickly refer to the documentation.
Furthermore, you’ll be ready to take advantage of NumPy’s various built-in functions and methods, which we’ll use to generate random and non-random data, import and export data to and from Python, find statistical values for a dataset, and clean and preprocess ndarrays.
There are 9 Modules in this Course
- Introduction to NumPy
- Why do we use NumPy?
- NumPy Fundamentals
- Working with Arrays
- Generating Data with NumPy
- Importing and Saving Data with NumPy
- Statistics with NumPy
- Data Manipulation with NumPy
- A Loan Data Practical Example with NumPy
Features
- 6 hours total
- 68 Lessons
- 2 Quizzes
- 8 Assignments
- Self-paced progress at your own speed
- Intermediate Level
Linkedin Learning
Linkedin Learning is a learning platform introduced by Linkedin itself.
It offers a “Learning path” that contains a series of courses for studying a specific topic.
You can watch all videos for free, but assignments and Linkedin completion certificates are available only if you buy Linkedin Learning subscription only.
At the end of each path/course, you receive a certificate of completion.
Master Python for Data Science
Learn the general programming principles and methods for Python, and then begin applying that knowledge to using Python in data science-related development.
What Will You Learn?
- Basics of Python as an object-oriented programming language.
- Python coding skills to analytics uses.
- Explore the Python scientific stack of tools.
There are 10 Courses in this Learning Path
- Learning Python
- Data Ingestion with Python
- Python Essential Training
- Python for Data Science Essential Training Part 1
- Python for Data Science Essential Training Part 2
- Data Science Foundations: Python Scientific Stack
- Python Data Analysis
- Python for Data Science Tips, Tricks, & Techniques
- Python for Data Visualization
- Python Statistics Essential Training
Earn a certificate of completion after completing all courses
Features
- 29 hours content
- Earn course Certificates
- Learn at your own pace
- Introductory Level
Advance Your Skills in Python
After learning Python programming basics, in this course, you will learn the next steps to prepare for a career as a Python developer.
This learning path takes you through the practical need of programmers, such as learning about design patterns, testing, and even interview preparation.
What Will You Learn?
- Industry-standard practices.
- Creating practical applications through hands-on practice.
- Applying your knowledge to land a job as a Python programmer
There are 11 Courses in this Learning Path
- Python: Design Patterns
- Learning Python Generators
- Effective Serialization with Python
- Python GUI Development with Tkinter
- Secure Coding in Python
- Programming Foundations: Real-World Examples
- Building Tools with Python
- Unit Testing in Python
- Python Parallel and Concurrent Programming Part 1
- Python Parallel and Concurrent Programming Part 2
- Nail Your Python Interview
Earn a certificate of completion after completing all courses
Features
- 21 hours content
- Earn course Certificates
- Learn at your own pace
- Intermediate Level
Become a Python Developer
Starting from basic to advance Python, this learning path is a complete package for this computer program education.
What Will You Learn?
- Construct and run a Python program
- Best practices for coding in Python and building an application
- Knowledge you need to pass LinkedIn’s Python Skill Assessment
There are 13 Courses in this Learning Path
- Learning Python
- Python Essential Training
- Python Object-Oriented Programming
- Programming Foundations: Data Structures
- Python Data Structures: Stacks, Queues, and Deques
- Python Data Structures: Linked Lists
- Python Data Structures: Dictionaries
- Programming Foundations: Algorithms
- Python Standard Library Essential Training
- Python: Decorators
- 8 Things You Must Know in Python
- Advanced Python
- Python Essential Libraries
Earn a certificate of completion after completing all courses
Features
- 25 hours content
- Earn course Certificates
- Learn at your own pace
- Introductory Level
Conclusion
Finding the Best Online Python Course can be very exhausted due to the many options available in the market.
But it would be best if you tried to go with a university-certified certification because it’s great to add that to your resume.
On the other hand, if you are in a hurry, go with the other options I mentioned and clear your basics.
Over to you
So which course did you finally choose to start? I want to know the reasons behind it.
Comment down your the course you chose and why?
