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.

DeepLearning.AI
Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Tableau Software, Dashboard, LinkedIn, Professional Networking, Data Visualization Software, Looker (Software), Technical Communication, Power BI, Stakeholder Engagement, Interviewing Skills
Beginner · Course · 1 - 4 Weeks
Coursera
Skills you'll gain: Apache Kafka, Data Pipelines, Data Mapping, Data Integrity, Data Transformation, Database Design, Data Modeling, Cloud Deployment, SQL, PostgreSQL, Data Capture, Data Validation, Continuous Integration, Data Storage Technologies, Real Time Data, Continuous Monitoring, Schematic Diagrams
Intermediate · Course · 1 - 4 Weeks

The World Bank Group
Skills you'll gain: Climate Change Adaptation, Climate Change Mitigation, Interactive Learning, Environmental Issue, Sustainable Development, Social Impact, Environment, Environmental Policy, Natural Resource Management, Environmental Science, Energy and Utilities, Water Resource Management, Scientific Methods, Policy Analysis, Cooperation, Collaboration
Beginner · 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

University of Colorado Boulder
Skills you'll gain: Statistical Analysis, Matplotlib, Regression Analysis, Statistical Modeling, Data Science, Data Analysis, Data Visualization, Pandas (Python Package), Anomaly Detection, Time Series Analysis and Forecasting, Data Visualization Software, Data Collection, Data Manipulation, Application Programming Interface (API)
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

Queen Mary University of London
Skills you'll gain: Qualitative Research, Research Methodologies, Surveys, Science and Research, Data Collection, Focus Group, Research, Market Research, Research Design, Sample Size Determination, Interviewing Skills, Probability & Statistics, Case Studies
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: SAS (Software), Data Manipulation, Data Transformation, Data Processing, Data Integration, Statistical Programming, Data Analysis, Data Presentation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Presentation, Data Storytelling, Presentations, Data Cleansing, Data Visualization, Rmarkdown, Data-Driven Decision-Making, Data Validation, Data Ethics, Analytical Skills, Interactive Data Visualization, Dashboard, Spreadsheet Software, Ggplot2, SQL, Data Literacy, Data Collection, Sampling (Statistics), Data Analysis, Google Analytics
Beginner · Professional Certificate · 3 - 6 Months

University of Michigan
Skills you'll gain: Pre-Clinical Development, Clinical Research, Drug Development, Clinical Trials, Medical Science and Research, Pharmaceuticals, Laboratory Research, Health Policy, Research
Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Scientific Methods, Chemistry, Laboratory Research, Systems Of Measurement, Physics, Materials science, Analytical Chemistry
Beginner · Course · 1 - 3 Months

University of California San Diego
Skills you'll gain: Supervised Learning, Feature Engineering, Predictive Modeling, Predictive Analytics, Data Manipulation, Classification Algorithms, Applied Machine Learning, Design Thinking, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Data Cleansing, Data Preprocessing, Regression Analysis, Tensorflow, Statistical Methods, Logistic Regression
Intermediate · Course · 1 - 3 Months

Microsoft
Skills you'll gain: Model Deployment, Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, MLOps (Machine Learning Operations), Cloud Deployment, Artificial Intelligence, Data Security, Application Frameworks, Machine Learning, Data Preprocessing, Data Pipelines, Scalability
Intermediate · Course · 1 - 3 Months