Python courses can help you learn programming fundamentals, data analysis, web development, and automation techniques. You can build skills in writing clean code, debugging, and using libraries like Pandas and NumPy for data manipulation. Many courses also introduce frameworks such as Flask and Django for web applications, as well as tools like Jupyter Notebooks for interactive coding and visualization. These skills and tools are essential for tackling projects in data science, software development, and artificial intelligence.

École Polytechnique Fédérale de Lausanne
Skills you'll gain: Scala Programming, Data Structures, Algorithms, Performance Tuning, Other Programming Languages, Functional Design, Performance Testing, Unsupervised Learning, Computer Programming
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Flask (Web Framework), User Provisioning, User Accounts, Web Development, Web Applications, Object-Relational Mapping, HTML and CSS, Authentications, Cascading Style Sheets (CSS), Database Management, Database Application
★ 4.6 (7) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Application Deployment, Microsoft Azure, Cloud Deployment, Cloud Services, Cloud Applications, Program Development, Cloud Hosting, Web Applications, Python Programming
★ 4 (6) · Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Version Control, Git (Version Control System), Selenium (Software), Test Automation, Jenkins, Test Script Development, Software Versioning, Continuous Integration, Test Tools, Continuous Delivery, Test Data, Test Case, Software Testing, CI/CD, Code Reusability, Command-Line Interface, File I/O
★ 4.8 (6) · Advanced · Course · 1 - 3 Months

Coursera
Skills you'll gain: Fine-tuning, Model Deployment, MLOps (Machine Learning Operations), AWS SageMaker, Software Documentation, Data Pipelines, AI Integrations, Tensorflow, Solution Architecture, Model Evaluation, Apache Airflow, Model Optimization, Systems Design, Transfer Learning, Unit Testing, PyTorch (Machine Learning Library), API Design, Cloud Computing, Network Architecture, Deep Learning
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Model Optimization, MLOps (Machine Learning Operations), Systems Architecture, Model Evaluation, Feature Engineering, AI Integrations, Image Analysis, Model Training, Model Deployment, Extract, Transform, Load, Systems Design, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Apache Spark, Natural Language Processing, Pandas (Python Package), Cloud Deployment, Machine Learning, Computer Vision, Computational Thinking
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), Model Evaluation, Supervised Learning, Feature Engineering, Probability & Statistics, Transfer Learning, NumPy, Matplotlib, Model Training, Model Optimization, Convolutional Neural Networks, Deep Learning, Applied Machine Learning, Statistics, Data Visualization, Keras (Neural Network Library), Statistical Hypothesis Testing, Fine-tuning, Machine Learning Methods, Python Programming
Intermediate · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Pandas (Python Package), Data Visualization, Descriptive Statistics, Data Manipulation, Data Transformation, Data Analysis, Statistics, Statistical Analysis, Data Management
★ 4.6 (7) · Beginner · Guided Project · Less Than 2 Hours

O.P. Jindal Global University
Skills you'll gain: Anomaly Detection, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Marketing Analytics, Data Mining, Customer Insights, Autoencoders, Data-Driven Marketing, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Methods, Marketing, Statistical Machine Learning, Target Audience, Supervised Learning, Python Programming, Algorithms
Beginner · Course · 1 - 3 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), Transfer Learning, Model Optimization, Tensorflow, Artificial Neural Networks, Embeddings, Keras (Neural Network Library), Deep Learning, Time Series Analysis and Forecasting, Fine-tuning, Image Analysis, Classification Algorithms, Convolutional Neural Networks, Natural Language Processing, Computer Vision, Model Training, Forecasting, Supervised Learning, Machine Learning, Logistic Regression
★ 4.7 (6) · Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Embeddings, Data-Driven Decision-Making, Applied Machine Learning, Image Analysis, LLM Application, Model Optimization, Data Flow Diagrams (DFDs), Database Theory, Docker (Software), Prompt Engineering, Database Design, NumPy, AI Integrations, Databases, Scikit Learn (Machine Learning Library), Semantic Web, Simulations, Python Programming
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Model Optimization, Image Analysis, Transfer Learning, Risking, Fine-tuning, Multimodal Prompts, Model Evaluation, Technical Documentation, Data Preprocessing, Debugging, Computer Vision, PyTorch (Machine Learning Library), Feature Engineering, Tensorflow, Model Training, Embeddings, Systems Design, Ethical Standards And Conduct, Root Cause Analysis, Deep Learning
Intermediate · Specialization · 3 - 6 Months