Bayesian statistics courses can help you learn probability distributions, Bayesian inference, and statistical modeling. You can build skills in hypothesis testing, predictive analytics, and decision-making under uncertainty. Many courses introduce tools like R, Python, and Stan, which are commonly used for implementing Bayesian methods and analyzing data. You'll also explore concepts like Markov Chain Monte Carlo (MCMC) techniques and Bayesian networks, equipping you with practical knowledge for data-driven decision-making in various fields.

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

Board Infinity
Skills you'll gain: Data Visualization Software, Dashboard, Data Visualization, Interactive Data Visualization, Data Transformation, Tableau Software, Data Storytelling, Data Manipulation, Exploratory Data Analysis, Heat Maps, Scatter Plots, Data Analysis, Forecasting, Geospatial Mapping
Beginner · Course · 1 - 4 Weeks

Universidad de los Andes
Skills you'll gain: Technical Analysis, Financial Trading, Financial Market, Performance Measurement, Capital Markets, Investment Management, Investments, Market Data, Statistical Machine Learning, Financial Analysis, Model Evaluation, Machine Learning, Classification Algorithms, Trend Analysis
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Customer Analysis, Unsupervised Learning, Customer Insights, Marketing Analytics, Applied Machine Learning, Data Analysis, Web Analytics, Retail Store Operations, Machine Learning, Machine Learning Algorithms, Histogram, Decision Tree Learning, Model Evaluation, Pandas (Python Package)
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Geographic Information Systems, Geospatial Mapping, Spatial Data Analysis, Spatial Analysis, Global Positioning Systems, Data Analysis, Metadata Management, Decision Support Systems
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Network Analysis, Unsupervised Learning, Social Network Analysis, Supervised Learning, Unstructured Data, Marketing Analytics, Deep Learning, Scikit Learn (Machine Learning Library), Machine Learning, Tensorflow, Text Mining, Data Analysis, Model Evaluation, Transfer Learning, Predictive Modeling, Semantic Web, JSON, Statistical Methods, Data Manipulation, Data Structures
Build toward a degree
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Model Evaluation, Data Preprocessing, Exploratory Data Analysis, Feature Engineering, Model Deployment, Data Analysis, PySpark, Data Import/Export, Data Transformation, Apache Spark, Decision Tree Learning, Customer Analysis, Predictive Modeling, Predictive Analytics, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

The Chinese University of Hong Kong
Skills you'll gain: Model Evaluation, Statistical Analysis, SPSS, Statistical Modeling, Advanced Analytics, Regression Analysis, Statistical Methods, Data Analysis, Data Analysis Software, SAS (Software)
Mixed · Course · 3 - 6 Months

Skills you'll gain: Business Intelligence, Data Presentation, Data Storytelling, Interactive Data Visualization, Data Visualization Software, Business Analytics, Power BI, Pivot Tables And Charts, Dashboard, Key Performance Indicators (KPIs), Performance Reporting, Data Analysis, Scatter Plots, Business Reporting, Trend Analysis, Time Series Analysis and Forecasting
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Google Analytics, Marketing Analytics, Web Analytics, Marketing Strategies, Advertising Campaigns, Customer Insights, Analytics, Target Audience, Trend Analysis, Strategic Marketing, Digital Marketing, Performance Reporting, Performance Analysis, Business Reporting
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Statistical Hypothesis Testing, Logistic Regression, Correlation Analysis, Six Sigma Methodology, R (Software), R Programming, Statistical Programming, Statistical Analysis, Statistical Methods, Regression Analysis, Probability & Statistics, Data Literacy, Data Science
Intermediate · Guided Project · Less Than 2 Hours

Johns Hopkins University
Skills you'll gain: Statistical Modeling, Exploratory Data Analysis, R Programming, Predictive Modeling, Statistical Hypothesis Testing, Tidyverse (R Package), Data Analysis, Data Modeling, Regression Analysis, Data Science, Classification And Regression Tree (CART), Statistical Inference, Statistical Analysis, Rmarkdown, Data Preprocessing, Statistical Methods, Model Evaluation, Machine Learning
Mixed · Course · 1 - 3 Months