Statistics.com offers a rich array of online courses to accelerate your career or help upgrade the skills of your team. Small classes, not MOOCs. Top instructors: our online courses are taught by the people who write the textbooks and have real industry experience. Ask them your questions!

Basic statistical literacy for anyone (if it's been a while since you've taken a stats course)

• Statistics 1
• Statistics 2

 
Big Data analytics for programmers:

• SQL and R - Introduction to Database Queries
• Big Data Computing with Hadoop
• Big Data Ingestion with APIs
• R Programming (introductory, intermediate, advanced)
• Visualization in R using ggplot2
• Introduction to Python for Analytics
• Social Data Mining with Python
• Introduction to SAS Programming for Analytics
• Graphics in R
• Data Mining in R
• Mapping in R
• Spatial Analysis Techniques in R
• Text Mining with Python
• NLP with NLTK

 
Big Data analytics for business analysts:

• Predictive Analytics 1 - Machine Learning Tools
• Predictive Analytics 2 - Neural Nets and Regression
• Predictive Analytics 3 - Dimension Reduction, Clustering and Association Rules
• Forecasting Analytics(for time series)
• Financial Risk Modeling
• Risk Simulation and Queuing
• Optimization - Linear Programming
• Integer & Nonlinear Programming and Network Flow
• Choice Modeling
• Social Network Analysis
• Interactive Data Visualization

 





  If you are involved in research that uses statistical methods

• Regression Analysis (for numerical data outcomes)
• Logistic Regression (for binary outcomes)
• Modeling Count Data (for counts)
• Cluster Analysis
• Resampling Statistics
• Bayesian Modeling (5 courses)
• Structural Equation Modeling (SEM)

 
Catalog of courses

Certificate Programs.