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.

Corporate Finance Institute
Skills you'll gain: Matplotlib, Financial Data, Exploratory Data Analysis, Pandas (Python Package), Financial Analysis, Data Visualization Software, Statistical Analysis, Data Manipulation, NumPy, Seaborn, Data Analysis, Data Science, Data Transformation, Python Programming, Data Cleansing, Computer Programming
Advanced · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Electronics, Systems Of Measurement, Digital Signal Processing, Data Processing, Data Cleansing, Statistical Methods, NumPy, Real Time Data, Open Source Technology, Mathematical Modeling
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Responsible AI, Exploratory Data Analysis, Predictive Modeling, Data Visualization, Machine Learning, Policy Analysis, Statistical Methods, Data Science, Data Ethics, Development Environment, Software Engineering
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, Data Manipulation, Python Programming, Probability & Statistics, Applied Machine Learning, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Machine Learning, Probability Distribution
Beginner · Course · 1 - 4 Weeks

Banco Interamericano de Desarrollo
Skills you'll gain: Digital Transformation, Business Transformation, Sustainability Standards, Operational Efficiency, Business Technologies, Sustainable Business, Internet Of Things, Technology Solutions, Innovation, Market Trend, Trend Analysis
Beginner · Course · 1 - 4 Weeks
Duke University
Skills you'll gain: Data Ethics, Exploratory Data Analysis, Data-Driven Decision-Making, Logistic Regression, Statistical Modeling, Web Scraping, Ggplot2, Model Evaluation, Data Visualization Software, Predictive Modeling, Tidyverse (R Package), Data Visualization, Data Analysis, Regression Analysis, Responsible AI, Data Transformation, R Programming, Data Science, Data Wrangling, Version Control
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Feature Engineering, Model Deployment, Responsible AI, Tensorflow, Exploratory Data Analysis, Data Preprocessing, Google Cloud Platform, Keras (Neural Network Library), Data Quality, Data Strategy, Machine Learning, Embeddings, MLOps (Machine Learning Operations), Model Evaluation, Applied Machine Learning, Unsupervised Learning, Dataflow, Data Analysis, Deep Learning, Artificial Neural Networks
Intermediate · Specialization · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Supervised Learning, Deep Learning, Scikit Learn (Machine Learning Library), Machine Learning, Tensorflow, Transfer Learning, Text Mining, Model Evaluation, Predictive Modeling, Data Manipulation, Marketing Analytics, Python Programming, Feature Engineering, Google Cloud Platform, Classification Algorithms, Artificial Neural Networks, Performance Metric
Build toward a degree
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Visualization Software, Data Modeling, Dashboard, Interactive Data Visualization, Data Presentation, Data Processing, Data Storytelling, Data Transformation, Data Preprocessing, Data Integration, Data Cleansing, Data Import/Export, Data Analysis, Data Quality, Key Performance Indicators (KPIs)
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Generative Adversarial Networks (GANs), Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), NumPy, Transfer Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Artificial Intelligence, Data Preprocessing, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Artificial Neural Networks, Image Analysis, Machine Learning, Data Science
Intermediate · Specialization · 3 - 6 Months

Universidad Nacional Autónoma de México
Skills you'll gain: Extract, Transform, Load, Pandas (Python Package), NumPy, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Visualization Software, Package and Software Management, Graphing, Data Analysis, Jupyter, Data Import/Export, Python Programming, Data Manipulation
Beginner · Course · 1 - 3 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Artificial Intelligence, Applied Machine Learning, Python Programming, Model Evaluation
Intermediate · Course · 1 - 4 Weeks