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.

Google Cloud
Skills you'll gain: Looker (Software), Data Modeling, Database Design, Exploratory Data Analysis, Data Analysis, Data Visualization Software
Beginner · Project · Less Than 2 Hours

Coursera
Skills you'll gain: Exploratory Data Analysis, Model Evaluation, Data Collection, Model Deployment, Data Ethics, MLOps (Machine Learning Operations), Feature Engineering, Data Cleansing, Responsible AI, Applied Machine Learning, Data Analysis, Solution Design, Statistical Analysis, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Application Deployment, Generative AI, Data Preprocessing, Cloud Deployment
Intermediate · Course · 1 - 3 Months

Fundação Instituto de Administração
Skills you'll gain: Relationship Building, Customer experience strategy (CX), Agile Methodology, Customer Engagement, Customer Relationship Management, Customer Insights, Value Propositions, Solution Delivery, Business Analysis, Web Analytics, Cross-Functional Collaboration, Product Lifecycle Management
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Analysis, Statistical Analysis, Probability Distribution, R Programming, Exploratory Data Analysis, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Data Manipulation, Supervised Learning, Random Forest Algorithm, Regression Analysis, Model Evaluation, Decision Tree Learning
Mixed · Course · 1 - 4 Weeks

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

Dartmouth College
Skills you'll gain: Supervised Learning, Predictive Modeling, Logistic Regression, Statistical Modeling, Model Evaluation, Machine Learning, Machine Learning Algorithms, Classification Algorithms, Regression Analysis, Probability & Statistics, Linear Algebra
Build toward a degree
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Visualization, Regression Analysis, Predictive Modeling, Financial Forecasting, Statistical Modeling, Forecasting, Financial Modeling, SPSS, Predictive Analytics, Risk Modeling, Data-Driven Decision-Making, Statistical Analysis, Analytics, Scatter Plots, Credit Risk, Microsoft Excel, Model Evaluation
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Data Management, Data Pipelines, Statistical Modeling
Intermediate · Course · 1 - 4 Weeks

Corporate Finance Institute
Skills you'll gain: Data Preprocessing, Feature Engineering, Data Import/Export, Exploratory Data Analysis, Data Cleansing, Statistical Visualization, Data Manipulation, Data Visualization, Data Transformation, Pandas (Python Package), Box Plots, Python Programming, Data Science, Scikit Learn (Machine Learning Library)
Advanced · Course · 1 - 3 Months

University of Pennsylvania
Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization Software, Data Visualization, Tableau Software, Presentations, Interactive Data Visualization, Verbal Communication Skills, Data Analysis, Pivot Tables And Charts, Scatter Plots, Stakeholder Communications, Spatial Analysis, Trend Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Recurrent Neural Networks (RNNs), Data Manipulation, Data Transformation, Financial Forecasting, Model Evaluation, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Keras (Neural Network Library), Deep Learning, Pandas (Python Package), NumPy
Mixed · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Classification Algorithms, Dimensionality Reduction, Data Analysis, Supervised Learning, Anomaly Detection, Machine Learning, Statistical Analysis, Unsupervised Learning, Data Mining, Analytics, Predictive Modeling, Model Evaluation, Regression Analysis, Exploratory Data Analysis, Project Planning, Feature Engineering
Intermediate · Course · 1 - 3 Months