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.

Northeastern University
Skills you'll gain: Time Series Analysis and Forecasting, Correlation Analysis, Probability & Statistics, Text Mining, Statistical Analysis, Probability Distribution, Data Analysis, Network Analysis, Exploratory Data Analysis, Feature Engineering, Data Structures, Unstructured Data, Data Cleansing, Data Preprocessing, Natural Language Processing
Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: Image Analysis, Data Analysis Software, Data Analysis, Scientific Visualization, Histogram, Analysis, Exploratory Data Analysis, Software Installation
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: AWS SageMaker, Unsupervised Learning, Feature Engineering, Time Series Analysis and Forecasting, Model Deployment, Cloud Deployment, Amazon Web Services, Applied Machine Learning, Trend Analysis, Advanced Analytics, Machine Learning Methods, Amazon S3, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Model Evaluation, Statistical Analysis, Forecasting, MLOps (Machine Learning Operations), Predictive Analytics, Data Preprocessing
Beginner · Course · 1 - 3 Months

Fundação Instituto de Administração
Skills you'll gain: Sociology, Social Justice, Cultural Diversity, Diversity and Inclusion, Workplace inclusivity, World History, Human Resource Policies, Economics, Industrial and Organizational Psychology, Leadership, Trend Analysis
Beginner · Course · 1 - 4 Weeks

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

Skills you'll gain: Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), Transfer Learning, Data Analysis, Data Preprocessing, Image Analysis, Deep Learning, Classification Algorithms, Applied Machine Learning, Computer Vision, Model Evaluation, Machine Learning, Performance Tuning
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Embeddings, AI Personalization, OpenAI API, Data Analysis, Generative AI, Exploratory Data Analysis, OpenAI, Data Manipulation, Data Visualization, Data Preprocessing, Python Programming, Dimensionality Reduction
Intermediate · Guided Project · Less Than 2 Hours

University of Michigan
Skills you'll gain: Social Network Analysis, Data Analysis, Python Programming, Jupyter, Probability Distribution
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Model Evaluation, Data Cleansing, Jupyter, Python Programming, Applied Machine Learning, Artificial Neural Networks, Scikit Learn (Machine Learning Library), Machine Learning, Matplotlib, Supervised Learning, Exploratory Data Analysis, Statistical Analysis
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Cryptography, Classification Algorithms, Probability Distribution, Machine Learning Algorithms, Data Processing, Algorithms
Intermediate · Course · 1 - 4 Weeks

Simplilearn
Skills you'll gain: Google Analytics, Marketing Budgets, Performance marketing, Pay Per Click Advertising, Digital Marketing, Paid media, Google Ads, Marketing Strategies, Digital Advertising, Driving engagement, Campaign Management, Web Analytics, Online Advertising, Advertising Campaigns, Budget Management, Bidding, Marketing Analytics, Lead Generation, Facebook, Consumer Behaviour
Beginner · Course · 1 - 4 Weeks
Johns Hopkins University
Skills you'll gain: Survey Creation, Epidemiology, Data Collection, Public Health, Health Equity, Health Policy, Health Informatics, Sampling (Statistics), Health Disparities, Health Assessment, Health Information Management, Data Integration, Electronic Medical Record System, Continuous Monitoring, Information Systems
Beginner · Course · 1 - 4 Weeks