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.

Skills you'll gain: Hugging Face, Prompt Engineering, Retrieval-Augmented Generation, LLM Application, Model Evaluation, Responsible AI, LangChain, Large Language Modeling, Model Deployment, Generative AI, Generative Adversarial Networks (GANs), Application Deployment, Application Development, Technical Management, OpenAI API, Data Ethics, AI Enablement, Trend Analysis, Business Strategy, Python Programming
Intermediate · Specialization · 1 - 3 Months

University of Toronto
Skills you'll gain: Data Ethics, Data Collection, Quantitative Research, Qualitative Research, Data Analysis, Statistical Analysis, Analytical Skills, Statistical Methods, Regression Analysis, Research, Focus Group, Correlation Analysis, Diversity and Inclusion, Surveys, Business Analytics, Stakeholder Analysis, Probability, Stakeholder Engagement
Mixed · Course · 1 - 4 Weeks

Edureka
Skills you'll gain: PySpark, Apache Spark, Data Management, Distributed Computing, Apache Hadoop, Data Processing, Data Analysis, Exploratory Data Analysis, Python Programming, Scalability
Beginner · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Statistical Modeling, Regression Analysis, Statistical Methods, Statistical Inference, Probability & Statistics, Correlation Analysis, Data Analysis, Statistical Analysis, Statistical Hypothesis Testing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Pandas (Python Package), Seaborn, Jupyter, Matplotlib, Data Analysis, Statistical Analysis, NumPy, Data Cleansing, Descriptive Statistics, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Illinois Tech
Skills you'll gain: Time Series Analysis and Forecasting, R Programming, Statistical Analysis, Statistical Software, Forecasting, Statistical Modeling, Data Analysis, Statistical Methods, Statistical Visualization, Data Presentation, Probability & Statistics, Model Evaluation, Statistical Hypothesis Testing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Google Analytics, Marketing Analytics, Email Automation, Data-Driven Decision-Making, Web Analytics, Dashboard, Geospatial Information and Technology, Marketing, Data Analysis
Beginner · Guided Project · Less Than 2 Hours
University of Michigan
Skills you'll gain: Data Quality, Data Collection, Data Management, Data Validation, Data Preprocessing, Data Analysis, Threat Detection, Data Access, Sampling (Statistics)
Beginner · Course · 1 - 4 Weeks

University of Illinois Urbana-Champaign
Skills you'll gain: Geospatial Information and Technology, Geographic Information Systems, Apache Hadoop, Spatial Data Analysis, Geospatial Mapping, Spatial Analysis, Big Data, Matplotlib, Data Processing, Computational Thinking, Distributed Computing, Data Manipulation, Python Programming
Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Data Science, Data Literacy, Project Design, Data Analysis, Data Management, Data Presentation, Data-Driven Decision-Making, Business Analytics, Performance Metric, Machine Learning, Statistical Inference
Mixed · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Data Analysis, Analytical Skills, Data Management, Exploratory Data Analysis, Statistical Reporting, Data-Driven Decision-Making, Trend Analysis, Data Presentation, Data Collection, Statistical Modeling, Data Validation, Statistical Inference, Model Evaluation, Communication
Mixed · Course · 1 - 4 Weeks

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