What is the best way to learn Python?

Knowing why you want to learn Python, be it for data analysis, web development, or automating tasks, can help you stay focused. Regular practice with Python solidifies your understanding and improves problem-solving skills. Engage with coding communities like Stack Overflow or Reddit’s r/learnpython for support and insights. Work on real projects such as developing small scripts or applications. Coursera’s Python for Everybody by the University of Michigan is an excellent place to start.

What skills can I learn from Python courses on Coursera?

Python courses on Coursera offer comprehensive range of skills that are crucial for many technical careers: Basic syntax and fundamentals of Python programming Application of Python in data analysis , web development , and machine learning Writing and debugging Python scripts and programs Data visualization with libraries like Matplotlib and Seaborn Use of libraries and frameworks such as Pandas , Flask , and Django Automation of common system administration tasks using Python

Do I need prior programming experience to start learning Python on Coursera?

Python courses on Coursera are accessible to learners with varying levels of experience: Beginners can start with introductory courses that cover the basics of Python and programming concepts. Intermediate learners can enhance their skills in specific applications like web development or data science . Advanced programmers can explore in-depth topics such as algorithmic programming and complex data structures in Python. Test your Python skills with our Python Skill Assessment to gauge your proficiency and readiness for advanced topics.

What certifications and credentials can I earn through Python courses on Coursera?

Coursera provides several credential options for learners who complete Python courses: Professional certificates that validate your Python programming skills. Specializations that go into detail in areas like artificial intelligence , cybersecurity , or big data . Certificates that are recognized by industry leaders and can help pave the way for career advancement.

What career opportunities are available with skills in Python programming?

Python is a versatile language that opens the door to numerous career paths: Software Developer , creating applications and software solutions using Python. Data Analyst , deriving insights from data sets with Python’s analytical tools. Machine Learning Engineer , building and training models using Python’s machine learning libraries. Web Developer , designing and maintaining websites with Python’s web frameworks. Automation Engineer , implementing automation scripts that streamline business processes.

Are there free Python courses or certifications available on Coursera?

Yes, Coursera offers a variety of free courses across many topics, including Python. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.

Top Python Courses - Learn Python Online

Explore the Python Course Catalog

Coursera Project Network
Create Interactive Dashboards with Streamlit and Python
Skills you'll gain: Plotly, Dashboard, Pandas (Python Package), Data Manipulation, Interactive Data Visualization, Data Visualization Software, Data Visualization, Web Applications, Application Development, Data Processing, Python Programming
4.7
Rating, 4.7 out of 5 stars
395 reviews
Intermediate · Guided Project · Less Than 2 Hours
EDHEC Business School
Advanced Portfolio Construction and Analysis with Python
Skills you'll gain: Portfolio Management, Investment Management, Investments, Financial Modeling, Financial Analysis, Asset Management, Financial Market, Estimation, Statistical Methods, Python Programming, Risk Analysis, Performance Analysis, Risk Management, Machine Learning
4.7
Rating, 4.7 out of 5 stars
506 reviews
Intermediate · Course · 1 - 4 Weeks
DeepLearning.AI
Mathematics for Machine Learning and Data Science
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Calculus, Dimensionality Reduction, Machine Learning, Jupyter, Python Programming, Data Manipulation, Data Science
4.6
Rating, 4.6 out of 5 stars
2.7K reviews
Intermediate · Specialization · 1 - 3 Months
IBM
IBM Applied DevOps Engineering
Skills you'll gain: CI/CD, Istio, Open Web Application Security Project (OWASP), Continuous Integration, Agile Software Development, Application Deployment, Test Driven Development (TDD), Gherkin (Scripting Language), Jenkins, Kubernetes, Code Coverage, OpenShift, Cloud Applications, Containerization, Agile Methodology, Behavior-Driven Development, DevOps, Secure Coding, Grafana, System Monitoring
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
7.1K reviews
Intermediate · Professional Certificate · 3 - 6 Months
Packt
Introduction to Python and Basic Selenium Setup
Skills you'll gain: Selenium (Software), Test Automation, Object Oriented Programming (OOP), Software Testing, Python Programming, Browser Compatibility, Computer Programming, Software Installation, Development Environment, File Management, Debugging
Beginner · Course · 1 - 3 Months
Status: New
Packt
Data Structures Using Python - An Introduction
Skills you'll gain: Data Structures, Graph Theory, Performance Tuning, Python Programming, Computational Thinking, Algorithms, Computer Programming, Debugging
Intermediate · Course · 1 - 3 Months
Status: New
Duke University
Programming for Python Data Science: Principles to Practice
Skills you'll gain: Matplotlib, Pandas (Python Package), Computational Thinking, Predictive Modeling, Data Cleansing, Data Visualization Software, Visualization (Computer Graphics), Data Structures, Debugging, NumPy, Data Manipulation, Regression Analysis, Data Analysis, Python Programming, Algorithms, Simulations, Statistical Methods, Program Development, Data Science, Object Oriented Programming (OOP)
3.8
Rating, 3.8 out of 5 stars
65 reviews
Beginner · Specialization · 3 - 6 Months
Board Infinity
Dive Deep into Python
Skills you'll gain: Object Oriented Programming (OOP), Data Structures, Python Programming, Programming Principles, File Management, Data Manipulation, Computer Programming, Scripting, Data Transformation
3.6
Rating, 3.6 out of 5 stars
7 reviews
Beginner · Course · 1 - 4 Weeks
University of Michigan
Design Computing: 3D Modeling in Rhinoceros with Python/Rhinoscript
Skills you'll gain: Data Structures, 3D Modeling, Computational Logic, Computer Graphics, Visualization (Computer Graphics), Design, Digital Design, Python Programming, Scripting, Computer Programming
4.9
Rating, 4.9 out of 5 stars
100 reviews
Beginner · Course · 1 - 3 Months
Coursera Project Network
Logistic Regression with NumPy and Python
Skills you'll gain: Matplotlib, Data Visualization, Seaborn, Exploratory Data Analysis, NumPy, Data Analysis, Jupyter, Machine Learning, Python Programming, Supervised Learning, Regression Analysis, Algorithms
4.5
Rating, 4.5 out of 5 stars
393 reviews
Beginner · Guided Project · Less Than 2 Hours
University of Illinois Urbana-Champaign
Accounting Data Analytics with Python
Skills you'll gain: Jupyter, Matplotlib, Data Visualization, Pandas (Python Package), Data Manipulation, Statistical Visualization, SQL, Data Visualization Software, Seaborn, Data Processing, Data Structures, NumPy, Databases, Accounting, Data Science, Python Programming, Regression Analysis, Scripting Languages, Scripting
Build toward a degree
4.4
Rating, 4.4 out of 5 stars
106 reviews
Intermediate · Course · 1 - 3 Months
Status: Free
Ludwig-Maximilians-Universität München (LMU)
Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python
Skills you'll gain: Finite Element Methods, Numerical Analysis, Engineering Analysis, Jupyter, Differential Equations, Applied Mathematics, NumPy, Mathematical Modeling, Computational Thinking, Python Programming, Calculus, Mechanics, Vibrations, Linear Algebra, Simulations
4.8
Rating, 4.8 out of 5 stars
386 reviews
Intermediate · Course · 1 - 3 Months