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.

Peking University
Skills you'll gain: Language Learning, Language Competency, Vocabulary, Oral Comprehension, Grammar, Communication
Mixed · Course · 1 - 3 Months

Skills you'll gain: Operational Analysis, Box Plots, Performance Analysis, Team Performance Management, Collaborative Software, Performance Metric, Performance Measurement, Collaboration, Data-Driven Decision-Making, Data Visualization, Analysis, Report Writing, Key Performance Indicators (KPIs), Business Metrics, Data Presentation, Test Tools, Virtual Teams, Communication Systems
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Statistical Modeling, Logistic Regression, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Feature Engineering, Statistical Analysis, Classification Algorithms
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Looker (Software), Dashboard, Data Visualization Software, Data Analysis, Data Sharing, Data Presentation, Data Manipulation, Data Import/Export
Beginner · Course · 1 - 3 Months

University of California, Davis
Skills you'll gain: Social Network Analysis, Data Wrangling, Natural Language Processing, Web Scraping, Databases, Data Processing, Social Sciences, Trend Analysis, Data Collection, Unstructured Data, Simulations, Big Data, Machine Learning, Computational Thinking, Artificial Intelligence and Machine Learning (AI/ML)
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Statistical Hypothesis Testing, AI Workflows, LangChain, Generative AI Agents, CrewAI, Statistical Methods, Statistical Analysis, Data Transformation, Agentic systems, Statistical Inference, Business Intelligence, Performance Testing, Key Performance Indicators (KPIs), Data-Driven Decision-Making, Performance Metric, Descriptive Analytics, Business Metrics, Data Analysis, Correlation Analysis, Event Monitoring
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Model Evaluation, Data Transformation, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, IBM Cloud, Python Programming, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Google Cloud Platform, Big Data, Cloud Storage, Query Languages, Data Import/Export, Data Migration, Analytics, Data Science, Data Analysis Software, Data Analysis
Beginner · Project · Less Than 2 Hours

Johns Hopkins University
Skills you'll gain: HTML and CSS, Cascading Style Sheets (CSS), Ajax, Javascript, Responsive Web Design, Front-End Web Development, Web Design, Bootstrap (Front-End Framework), Web Development, Development Environment, Web Development Tools, Web Design and Development, JSON, Web Applications, Web Content Accessibility Guidelines, Scripting, Browser Compatibility, Hypertext Markup Language (HTML), Object Oriented Programming (OOP), Event-Driven Programming
Beginner · Specialization · 1 - 3 Months

University of London
Skills you'll gain: Correlation Analysis, Predictive Modeling, Data Collection, Regression Analysis, Data Science, Forecasting, Data Analysis, Statistical Modeling, Time Series Analysis and Forecasting, Data-Driven Decision-Making, Data Preprocessing
Beginner · Course · 1 - 4 Weeks

New York University
Skills you'll gain: Supervised Learning, Model Evaluation, Reinforcement Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Dimensionality Reduction, Unsupervised Learning, Artificial Neural Networks, Decision Tree Learning, Predictive Modeling, Financial Trading, Financial Market, Derivatives, Scikit Learn (Machine Learning Library), Markov Model, Regression Analysis, Deep Learning, Market Liquidity, Tensorflow
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Power BI, Dashboard, SQL, Microsoft SQL Servers, Data Security, Data Analysis, Data Visualization Software, Data Modeling, Data Management, Role-Based Access Control (RBAC)
Beginner · Course · 1 - 4 Weeks