Statistics courses can help you learn data analysis, probability theory, hypothesis testing, and regression techniques. You can build skills in interpreting data sets, making informed predictions, and conducting surveys. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing results. You'll also explore key topics such as descriptive statistics, inferential statistics, and experimental design, equipping you with the knowledge to tackle real-world data challenges.

Skills you'll gain: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Data Analysis, AI Personalization, Programming Principles, Data Manipulation
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Google Analytics, Web Analytics, Data-Driven Marketing, Marketing Effectiveness, Conversion Funnel Analysis, Marketing Analytics, Looker (Software), Content Performance Analysis, Data Visualization, Marketing Automation, Digital Marketing Tools, Customer Insights, Campaign Management, Data-Driven Decision-Making, Business Reporting, Performance Reporting, Trend Analysis, Data Validation, Statistical Analysis, Key Performance Indicators (KPIs)
Intermediate · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Surveys, Survey Creation, Sampling (Statistics), Program Evaluation, Data Management, Data Collection, Data Analysis, Data Cleansing, Quantitative Research, Data Quality, Research Design, Sample Size Determination, Interviewing Skills, Data Presentation, Data Mapping, Data Ethics
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Feature Engineering, Supervised Learning, Exploratory Data Analysis, Classification Algorithms, Machine Learning Algorithms, Applied Machine Learning, Model Deployment, Decision Tree Learning, Logistic Regression, Data Analysis, Data Preprocessing, Pandas (Python Package), NumPy
★ 4.4 (17) · Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Regression Analysis, Predictive Modeling, Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, Analytics, Data Analysis Software, Predictive Analytics, Data Analysis, Minitab, Statistical Methods, Statistical Software, Statistical Modeling, Advanced Analytics, Forecasting, Business Analytics, Analysis, Quantitative Research, Statistics, Probability & Statistics
★ 5 (10) · Mixed · Course · 1 - 3 Months

Skills you'll gain: Looker (Software), Pivot Tables And Charts, Data Modeling, Exploratory Data Analysis, Data Analysis, Query Languages
★ 5 (7) · Beginner · Project · Less Than 2 Hours

University of Colorado Boulder
Skills you'll gain: Pivot Tables And Charts, Data Manipulation, Data Transformation, Data Processing, Data Preprocessing, Data Wrangling, Data Warehousing, Data Cleansing, Dimensionality Reduction, Data Quality, Anomaly Detection, Sampling (Statistics), Exploratory Data Analysis
Intermediate · Course · 1 - 4 Weeks

University of Pennsylvania
Skills you'll gain: SQL, Data Analysis, Seaborn, Exploratory Data Analysis, Analytics, Data Visualization, Database Management, Query Languages, Data Visualization Software, Matplotlib, Data Storage, Pandas (Python Package), Big Data, Data Science, Relational Databases, Data Management, Data Manipulation, Data Cleansing, NumPy
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Matplotlib, Seaborn, Exploratory Data Analysis, Data Visualization, Pandas (Python Package), Plot (Graphics), Statistical Visualization, Data Visualization Software, Analysis, Data Analysis, Statistical Analysis, Python Programming
★ 4.3 (6) · Intermediate · Guided Project · Less Than 2 Hours

Universidad Nacional Autónoma de México
Skills you'll gain: Biology, Life Sciences, World History, Social Studies, Mathematical Modeling, Probability & Statistics
Intermediate · Course · 1 - 4 Weeks

University of Arizona
Skills you'll gain: Web Analytics, Search Engine Marketing, Pay Per Click Advertising, Data-Driven Marketing, User Experience Design, Google Ads, Search Engine Optimization, Digital Marketing, Digital Marketing Campaigns, Campaign Management, Content Marketing, Cross-Channel Marketing, Digital Brand Strategy, Keyword Research, Data-Driven Decision-Making, Marketing Analytics, Marketing Strategy and Techniques, Marketing Planning, Customer Engagement, Target Audience
Intermediate · Specialization · 3 - 6 Months

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