Interactive Python courses can help you learn programming fundamentals, data visualization, web development, and automation techniques. You can build skills in writing efficient code, debugging, and creating interactive applications that enhance user engagement. Many courses introduce tools like Jupyter Notebooks for data analysis, Flask for web applications, and libraries such as Matplotlib and Pandas for data manipulation and visualization.

Skills you'll gain: Matplotlib, Scientific Visualization, Data Visualization Software, Interactive Data Visualization, Seaborn, Jupyter, NumPy, Performance Tuning, Development Environment, Python Programming, Debugging
Mixed · Course · 1 - 3 Months

Skills you'll gain: Unsupervised Learning, Predictive Modeling, Supervised Learning, Model Evaluation, Applied Machine Learning, Predictive Analytics, Random Forest Algorithm, Text Mining, Classification Algorithms, Natural Language Processing, Machine Learning Algorithms, Artificial Intelligence, Computational Logic, Python Programming, Data Science, Unstructured Data, Data Preprocessing, Algorithms
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Supervised Learning, Machine Learning Methods, Classification Algorithms, Machine Learning, Data Analysis, Driving engagement
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Web Services, Email Automation, Scripting, Automation, Python Programming, Restful API, Application Programming Interface (API), JSON, System Monitoring, Image Analysis, Debugging
Beginner · Course · 1 - 3 Months

Skills you'll gain: Dashboard, Kibana, System Monitoring, Automation, Scripting, Devops Tools, Python Programming, Linux, Data Visualization Software, Data Structures, JSON
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Cryptography, Encryption, Cyber Security Assessment, Brute-force attacks, Python Programming, Programming Principles, Scripting, Algorithms, Data Structures, File I/O, File Management
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Generative AI, Matplotlib, Plotly, Data Ethics, Data Visualization, Data Cleansing, Data Manipulation, Exploratory Data Analysis, Pandas (Python Package), Data Transformation, Interactive Data Visualization, Data Visualization Software, Data Storytelling, Data Analysis, Scikit Learn (Machine Learning Library), Jupyter, Python Programming, Machine Learning, Model Evaluation
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Feature Engineering, Supervised Learning, Exploratory Data Analysis, Classification Algorithms, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Logistic Regression, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Data Preprocessing, Pandas (Python Package), NumPy, Data Cleansing
Mixed · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Pandas (Python Package), NumPy, Data Visualization Software, Data Visualization, Programming Principles, Computer Programming, Histogram, Functional Design, Package and Software Management, Data Import/Export, Scripting, Scripting Languages, Data Manipulation, Python Programming, Data Science, Data Structures, Software Engineering
Beginner · Specialization · 1 - 3 Months

Duke University
Skills you'll gain: Pandas (Python Package), Version Control, Git (Version Control System), Data Manipulation, Software Development Tools, Development Environment, Data Structures, Python Programming, Data Analysis Software, NumPy, Virtual Environment
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Programming Principles, Development Environment, Scripting, Scripting Languages, Integrated Development Environments, Software Development Tools, Style Guides
Beginner · Course · 3 - 6 Months

University of Michigan
Skills you'll gain: Sampling (Statistics), Data Visualization, Statistics, Matplotlib, Statistical Visualization, Probability & Statistics, Jupyter, Statistical Methods, Data Visualization Software, Data Analysis, Statistical Analysis, Exploratory Data Analysis, Descriptive Statistics, Statistical Inference, NumPy, Box Plots, Histogram, Python Programming
Beginner · Course · 1 - 4 Weeks