Python Data Science courses can help you learn data manipulation, statistical analysis, machine learning, and data visualization. You can build skills in programming with Python, working with libraries like Pandas and NumPy, and applying algorithms to solve real-world problems. Many courses introduce tools such as Jupyter Notebooks for interactive coding, Matplotlib for creating visualizations, and Scikit-learn for implementing machine learning models, all of which enhance your ability to analyze and interpret complex data sets.

National Taiwan University
Skills you'll gain: Logistic Regression, Sampling (Statistics), Model Evaluation, Statistical Methods, Regression Analysis, Statistical Hypothesis Testing, Statistical Modeling, Statistical Programming, Statistical Analysis, R Programming, Business Analytics, Predictive Modeling, Advanced Analytics, Estimation, Probability & Statistics, Statistical Inference
Intermediate · Course · 1 - 3 Months

Illinois Tech
Skills you'll gain: Recurrent Neural Networks (RNNs), Deep Learning, Generative AI, Convolutional Neural Networks, Transfer Learning, Model Optimization, Image Analysis, Artificial Neural Networks, Generative Model Architectures, Generative Adversarial Networks (GANs), Fine-tuning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Network Architecture, Computer Vision, Network Model, Natural Language Processing, Model Training
Build toward a degree
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Predictive Analytics, Predictive Modeling, Feature Engineering, Regression Analysis, Analytics, Data Analysis, Data Preprocessing, Data Quality, Data Cleansing, Data Integrity, Model Training, Data Wrangling, Data Validation, Data Transformation
Beginner · Course · 1 - 4 Weeks

University of North Texas
Skills you'll gain: Research Design, Research and Design, Research, Research Methodologies, Qualitative Research, Scientific Methods, Business Research, Research Reports, Data Collection, Sample Size Determination, Analysis, Ethical Standards And Conduct, Decision Making, Probability & Statistics
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Digital Forensics, Infrastructure as Code (IaC), Endpoint Security, Vulnerability Management, Risk Management, Cryptography, Cybersecurity, Risk Management Framework, Network Security, Incident Response, Threat Management, Cloud Security, Risk Analysis, Cryptographic Protocols, Cyber Attacks, Business Risk Management, Encryption, Cyber Security Policies, Cyber Threat Intelligence, Vulnerability Assessments
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Web Scraping, Real Time Data, OpenAI API, Data Capture, Scripting, OpenAI, Natural Language Processing, LLM Application, Python Programming, Data Processing, Application Development, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Deep Learning, Tensorflow, Keras (Neural Network Library), Matplotlib, NumPy, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Pandas (Python Package), Machine Learning Methods, Data Science, Artificial Intelligence, Model Optimization, Data Preprocessing, Model Training, Machine Learning, Network Model, Data Manipulation, Model Evaluation
Beginner · Course · 3 - 6 Months

Skills you'll gain: Prometheus (Software), System Monitoring, Grafana, Cloud Management, Google Cloud Platform, Web Scraping
Beginner · Project · Less Than 2 Hours

Skills you'll gain: UI/UX Research, Responsible AI, Persona (User Experience), Experience Design, Miro AI, Design Software, Human Centered Design, AI Workflows, AI Integrations, Ideation, Brainstorming
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Finite Element Methods, Simulation and Simulation Software, Engineering Analysis, Simulations, Engineering, Verification And Validation
Beginner · Guided Project · Less Than 2 Hours

University of Washington
Skills you'll gain: Model Evaluation, Regression Analysis, Model Training, Statistical Machine Learning, Supervised Learning, Machine Learning Methods, Predictive Modeling, Statistical Modeling, Statistical Methods, Machine Learning, Machine Learning Algorithms, Model Optimization, Predictive Analytics, Applied Machine Learning, Feature Engineering, Statistical Programming, Model Deployment, Algorithms
Mixed · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Continuous Deployment, Model Training, Tidyverse (R Package), R Programming, Health Informatics, Applied Machine Learning, Continuous Monitoring, Predictive Modeling, Machine Learning Methods, Dashboard Creation, Docker (Software), Containerization, Application Programming Interface (API)
Intermediate · Guided Project · Less Than 2 Hours