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.

Skills you'll gain: Case Studies, User Experience Design, Business Analysis, Natural Language Processing, Application Programming Interface (API), Application Deployment, Application Development, Artificial Intelligence, Systems Integration, Scalability
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Delegation Skills, Accountability, Conflict Management, Goal Setting, Team Building, Expectation Management, Team Management, Communication, Follow Through, Productivity, Team Leadership, Management Training And Development, Leadership Studies, Constructive Feedback, Employee Performance Management, Case Studies, Performance Management
Beginner · Course · 1 - 4 Weeks

American Psychological Association
Skills you'll gain: Statistical Hypothesis Testing, Sample Size Determination, Probability & Statistics, Probability Distribution, Statistical Methods, Quantitative Research, Statistical Inference, Sampling (Statistics), Statistical Analysis, Probability, Data Analysis
Beginner · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Model Evaluation, DevOps, Cloud Deployment, Continuous Deployment, Machine Learning, Continuous Integration, Automation, Data Pipelines
Intermediate · Course · 1 - 4 Weeks

University of California, Davis
Skills you'll gain: Data Integration, Health Informatics, Data Dictionary, Health Systems, Metadata Management, Health Care, Data Mapping, Healthcare Industry Knowledge, Value-Based Care, Health Information Management, Taxonomy, Care Coordination, Data Literacy, Clinical Data Management, ICD Coding (ICD-9/ICD-10), Data Quality, Medical Terminology, Big Data, Interoperability, Data Storage
Intermediate · Course · 1 - 4 Weeks

University of Glasgow
Skills you'll gain: Matlab, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Applied Mathematics
Beginner · Course · 1 - 4 Weeks

University of London
Skills you'll gain: Brand Management, Branding, Brand Marketing, Brand Strategy, Brand Awareness, Employee Engagement, Marketing Management, Global Marketing, Internal Communications, Customer experience strategy (CX), Human Resources, Organizational Change, Consumer Behaviour, Cross-Functional Collaboration
Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: Prompt Engineering, Anthropic Claude, Generative AI, Artificial Intelligence, Application Development, Application Programming Interface (API), Authentications, Context Management, User Interface and User Experience (UI/UX) Design, Content Creation, Customer Service
Intermediate · Course · 1 - 4 Weeks

AI CERTs
Skills you'll gain: Prompt Engineering, Prompt Engineering Tools, Prompt Patterns, Responsible AI, OpenAI, LLM Application, Generative AI, LangChain, Generative AI Agents, ChatGPT, Vibe coding, Natural Language Processing, Artificial Intelligence, AI Personalization, Debugging, Ideation, Productivity, Code Review, Computer Programming Tools, Ethical Standards And Conduct
Beginner · Course · 1 - 3 Months

Skills you'll gain: Stakeholder Communications, Crisis Management, Smart Goals, Agile Project Management, Leadership and Management, Leadership, Business Leadership, Case Studies
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Time Series Analysis and Forecasting, Data Visualization, Data Visualization Software, Statistical Visualization, Data Preprocessing, Box Plots, Anomaly Detection, Heat Maps, Plotly, Exploratory Data Analysis, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Machine Learning, Natural Language Processing, Supervised Learning, Network Architecture, Data Science
Beginner · Course · 1 - 4 Weeks