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, Target Audience, Customer Insights, Online Advertising, Advertising Campaigns, Digital Advertising, Customer Analysis, Advertising, Market Opportunities, Business Metrics, Content Performance Analysis, Data Import/Export
Beginner · Guided Project · Less Than 2 Hours

University of Glasgow
Skills you'll gain: Media and Communications, Peer Review, Research, Cultural Responsiveness, Social Impact, Social Sciences, Investigation, Probability & Statistics
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Seaborn, Matplotlib, NumPy, Scatter Plots, Statistical Visualization, Data Visualization Software, Box Plots, Histogram, Exploratory Data Analysis, Jupyter, Heat Maps, Data Manipulation, Development Environment, Python Programming
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Marketing Management, Case Studies, Data Preprocessing, Artificial Intelligence, Emerging Technologies, Exploratory Data Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Web Analytics, Organizational Skills, Content Development and Management, Employee Training, Training and Development, Learning Management Systems, Content Management, Content Creation, Writing
Beginner · Guided Project · Less Than 2 Hours

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, Applied Machine Learning, Data Cleansing, Machine Learning, Statistical Machine Learning, Embeddings, MLOps (Machine Learning Operations), Data Strategy, Machine Learning Algorithms, Supervised Learning, Model Evaluation, Artificial Neural Networks
Intermediate · Specialization · 3 - 6 Months

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

Skills you'll gain: Model Evaluation, Supervised Learning, Machine Learning Methods, Classification Algorithms, Machine Learning, Data Analysis, Driving engagement
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Looker (Software), Pivot Tables And Charts, Dashboard, Data Modeling, Exploratory Data Analysis, Data Analysis, Query Languages
Beginner · Project · Less Than 2 Hours

Skills you'll gain: PySpark, Apache Spark, Data Visualization Software, Data Analysis, Exploratory Data Analysis, Data Cleansing, Data Processing, Data Manipulation, Big Data, Jupyter, Pandas (Python Package), People Analytics
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Dashboard, Data Visualization, Interactive Data Visualization, Data Presentation, Tableau Software, Data Visualization Software, Exploratory Data Analysis, Business Intelligence, Data Analysis
Intermediate · Guided Project · Less Than 2 Hours

University of Maryland, College Park
Skills you'll gain: Sampling (Statistics), Data Analysis Software, Stata, Data Manipulation, Statistical Analysis, Statistical Software, Statistical Methods, Regression Analysis, Data Integrity, R (Software), R Programming, Statistical Modeling
Mixed · Course · 1 - 3 Months