Statistics for Data Science courses can help you learn data visualization, hypothesis testing, regression analysis, and probability theory. You can build skills in interpreting data trends, making predictions, and conducting A/B testing. Many courses introduce tools like R, Python, and SQL, that support analyzing datasets and implementing statistical models. By engaging with these tools, you can effectively apply statistical methods to real-world data challenges, enhancing your ability to draw meaningful insights.

University of Lausanne
Skills you'll gain: Criminal Investigation and Forensics, Statistical Reporting, Court Systems, Legal Proceedings, Laboratory Reports, Scientific Methods, Statistical Analysis, Probability & Statistics, Research, Technical Communication, Case Studies
Beginner · Course · 1 - 3 Months

The University of Chicago
Skills you'll gain: Climate Change Mitigation, Environment, Climate Change Adaptation, Physical Science, Sustainable Development, Physics, Mathematical Modeling, Thermal Management, Environmental Science, Simulations, Energy and Utilities, Chemistry
Mixed · Course · 1 - 3 Months

Stanford University
Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Theoretical Computer Science, Network Model, Programming Principles, Social Network Analysis, Network Analysis, Computational Thinking, Analysis, Computer Science, Network Routing, Probability, Pseudocode, Computational Logic, Operations Research
Intermediate · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Computer Vision, Transfer Learning, Deep Learning, Image Analysis, Hugging Face, Natural Language Processing, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Applied Machine Learning, Embeddings, Supervised Learning, Keras (Neural Network Library), Machine Learning, Debugging, Performance Tuning, PyTorch (Machine Learning Library), Data Preprocessing
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, AI Workflows, Context Management, Decision Making
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Spreadsheet Software, Data Validation, Data Analysis Software, Data Analysis, Statistical Analysis, Financial Analysis, Data Management
Beginner · Course · 1 - 4 Weeks

Arizona State University
Skills you'll gain: Materials science, Failure Analysis, Semiconductors, Manufacturing Processes, Structural Analysis, Mechanical Engineering, Chemical Engineering, Chemistry, Thermal Management, Engineering, Laboratory Testing, Physical Science, Physics, Engineering Analysis, Reliability, Engineering Calculations
Beginner · Specialization · 3 - 6 Months

Multiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Transfer Learning, Machine Learning, Jupyter, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Data Preprocessing
Beginner · Specialization · 1 - 3 Months
University of California, Santa Cruz
Skills you'll gain: Programming Principles, Pseudocode
Beginner · Course · 1 - 3 Months

University of Amsterdam
Skills you'll gain: Culture, Interpersonal Communications, Media and Communications, Research, Persuasive Communication, Qualitative Research
Mixed · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: OpenAI API, ChatGPT, Prompt Engineering, LLM Application, Large Language Modeling
Beginner · Project · Less Than 2 Hours

Multiple educators
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Financial Trading, Reinforcement Learning, Recurrent Neural Networks (RNNs), Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Securities Trading, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML)
Intermediate · Specialization · 1 - 3 Months