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.

Pontificia Universidad Católica de Chile
Skills you'll gain: Data Collection, Transportation Operations, Surveys, Quantitative Research, Mathematical Modeling, Predictive Modeling, Statistical Methods, Regression Analysis, Model Evaluation, Logistic Regression, Spatial Analysis
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Google Sheets, Data Visualization, User Feedback, Customer experience improvement, Customer Insights, Customer Analysis, Customer Service, Google Workspace, Trend Analysis, Performance Analysis, Analysis
Intermediate · Guided Project · Less Than 2 Hours

University of Toronto
Skills you'll gain: Spatial Analysis, Geographic Information Systems, Geospatial Mapping, ArcGIS, Data Visualization, Data Compilation, Data Mapping, Data Storytelling, Metadata Management, Data Integration, Data Management
Beginner · Course · 1 - 3 Months

Skills you'll gain: Portfolio Management, Portfolio Risk, Financial Modeling, Correlation Analysis, Investment Management, Financial Analysis, Risk Modeling
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Technical Analysis, Google Sheets, Market Data, Data Visualization, Trend Analysis, Web Scraping, Data Visualization Software
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Feature Engineering, Responsible AI, Model Deployment, Tensorflow, Exploratory Data Analysis, Data Quality, Machine Learning, Data Preprocessing, Applied Machine Learning, Google Cloud Platform, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Data Cleansing, Supervised Learning, MLOps (Machine Learning Operations), Dataflow, Artificial Neural Networks, Model Evaluation, Logistic Regression, Performance Tuning
Intermediate · Specialization · 3 - 6 Months

University of California, Irvine
Skills you'll gain: Extract, Transform, Load, Decision Support Systems, Data Warehousing, Data Mining, Database Design, Business Intelligence, Dashboard, Star Schema, Relational Databases, Database Management, Data Visualization Software, Snowflake Schema, Data Visualization, Business Reporting, Database Management Systems, SAS (Software), Data Modeling, Interactive Data Visualization, SQL, Descriptive Statistics
Beginner · Specialization · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Data Science, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Statistical Inference
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Trend Analysis, Data Manipulation, Data Analysis, SAS (Software), Analysis, Analytics, Data Visualization, Interactive Data Visualization, Data Visualization Software, Data Presentation, Business Reporting, Graphing, Statistical Programming
Mixed · Course · 1 - 4 Weeks

New York Institute of Finance
Skills you'll gain: Portfolio Risk, Risk Management, Financial Market, Derivatives, Risk Management Framework, Portfolio Management, Risk Analysis, Market Data, Equities, Capital Markets, Estimation, Financial Modeling, Statistical Analysis, Probability & Statistics
Beginner · Course · 1 - 3 Months

Skills you'll gain: Feature Engineering, Dimensionality Reduction, Data Integration, Data Preprocessing, Exploratory Data Analysis, Data Visualization, Plot (Graphics), Matlab, Data Processing, Data Cleansing, Data Manipulation, Text Mining, Predictive Modeling, Unstructured Data, Image Analysis, Natural Language Processing
Intermediate · Course · 1 - 3 Months

New York Institute of Finance
Skills you'll gain: Reinforcement Learning, Recurrent Neural Networks (RNNs), Financial Trading, Deep Learning, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Markov Model, Portfolio Risk, Financial Market, Time Series Analysis and Forecasting, Risk Management
Intermediate · Course · 1 - 4 Weeks