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: Facebook, Web Analytics, Social Media Marketing, Customer Analysis, User Accounts, Social Media, E-Commerce
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Facebook, Content Performance Analysis, Social Media Content, Marketing Analytics, Social Media Marketing, Data-Driven Decision-Making, Social Media, Analytics, Social Media Strategy, Driving engagement, Trend Analysis, Data Analysis, Performance Analysis, Performance Metric
Beginner · Course · 1 - 4 Weeks

Alberta Machine Intelligence Institute
Skills you'll gain: Generative AI, AI Enablement, AI Product Strategy, Case Studies, Artificial Intelligence, LLM Application, Responsible AI, Data Ethics, Trend Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Data Preprocessing, Model Deployment, Risk Modeling, Logistic Regression, Statistical Analysis, Performance Metric
Mixed · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Looker (Software), Dashboard, Data Analysis Expressions (DAX), Ad Hoc Analysis, Data Analysis, Exploratory Data Analysis, Data Visualization Software
Beginner · Project · Less Than 2 Hours

Fundação Instituto de Administração
Skills you'll gain: Marketing Analytics, Data Visualization, Sales Strategy, Marketing Strategies, Digital Media Strategy, Data Visualization Software, Customer Engagement, Analytics, Consumer Behaviour, Market Analysis, Regression Analysis, Statistical Analysis, Exploratory Data Analysis, Pandas (Python Package), Decision Tree Learning, Decision Making, Logistic Regression, Artificial Neural Networks
Beginner · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Interactive Data Visualization, Data Transformation, Data Presentation, Data Visualization Software, Business Intelligence, Data Analysis, Extract, Transform, Load, Exploratory Data Analysis, Pandas (Python Package), Data Collection, Data Pipelines, Development Environment, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Facebook, Online Advertising, Advertising Campaigns, Advertising, Digital Advertising, Social Media, Social Media Campaigns, Web Analytics, Marketing
Beginner · Guided Project · Less Than 2 Hours

Tecnológico de Monterrey
Skills you'll gain: Search Engine Marketing, Digital Marketing, Digital Content, Search Engine Optimization, Social Media Strategy, Web Content, Content Strategy, Digital Advertising, Email Marketing, Digital Communications, E-Commerce, Web Analytics, Target Audience
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Dimensionality Reduction, R Programming, Time Series Analysis and Forecasting, Applied Machine Learning, Unsupervised Learning, Predictive Modeling, Machine Learning, Text Mining, Classification Algorithms, Artificial Neural Networks, Data Mining, Feature Engineering, Data Preprocessing, Model Evaluation, Exploratory Data Analysis
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Applied Machine Learning, Unsupervised Learning, Correlation Analysis, Data Cleansing, R Programming, Data Quality, Machine Learning, Machine Learning Algorithms, Data Manipulation, Data Mining, Exploratory Data Analysis, Data Integrity
Mixed · Course · 1 - 4 Weeks