Applied statistics courses can help you learn data analysis, hypothesis testing, regression techniques, and experimental design. You can build skills in interpreting data sets, making predictions, and communicating statistical findings effectively. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing data.

Wesleyan University
Skills you'll gain: Data Storytelling, Exploratory Data Analysis, Data Analysis, Data Visualization, Analytical Skills, Report Writing, Data Science, Data Management, Big Data, Statistical Analysis, Real Time Data, Research, Research Design
Mixed · Course · 1 - 4 Weeks

Erasmus University Rotterdam
Skills you'll gain: Analysis, Data Analysis, Statistical Reporting, Analytical Skills, Exploratory Data Analysis, Quantitative Research, Statistical Analysis, Statistical Software, Small Data, R (Software), R Programming, Sampling (Statistics), Technical Communication, Research Methodologies, Scatter Plots, Statistical Hypothesis Testing, Data Collection
Beginner · Course · 1 - 3 Months

Duke University
Skills you'll gain: Telehealth, Clinical Assessment, Health Technology, Vital Signs, Health Assessment, Patient Preparation, Patient Evaluation, End User Training and Support, Technical Support, Patient Communication
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Social Media Marketing, Social Media, Social Media Strategy, Social Media Campaigns, Instagram, Facebook, Brand Awareness, Marketing, Content Marketing, Marketing Strategy and Techniques, Marketing Analytics, Web Analytics, Drive Engagement, Business
Beginner · Guided Project · Less Than 2 Hours

University of Colorado Boulder
Skills you'll gain: Vision Transformer (ViT), Recurrent Neural Networks (RNNs), Multimodal Prompts, Artificial Intelligence and Machine Learning (AI/ML), Convolutional Neural Networks, Embeddings, Digital Signal Processing, Transfer Learning
Build toward a degree
Advanced · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Software Architecture, Cloud Development
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Reinforcement Learning, Data-Driven Decision-Making, Markov Model, Time Series Analysis and Forecasting, Forecasting, Bayesian Statistics, Data Science, Statistical Methods, Anomaly Detection, Probability Distribution, Machine Learning Methods, Estimation, Statistical Analysis, Sampling (Statistics)
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Supervised Learning, Machine Learning, Pandas (Python Package), Machine Learning Algorithms, Unsupervised Learning, Feature Engineering, Taxonomy, Data Analysis, Artificial Intelligence, Deep Learning
Intermediate · Course · 1 - 3 Months

Microsoft
Skills you'll gain: Rmarkdown, Version Control, Web Scraping, Regression Analysis, Knitr, Exploratory Data Analysis, Statistical Analysis, Data Manipulation, Dimensionality Reduction, Ggplot2, Geospatial Information and Technology, Time Series Analysis and Forecasting, Plotly, Microsoft Azure, Data Cleansing, Data Visualization, Software Documentation, R Programming, Data Quality, Microsoft Copilot
Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Data Storytelling, Model Evaluation, Feature Engineering, Exploratory Data Analysis, Data Science, Machine Learning, Data Analysis, Data Preprocessing, Matlab, Technical Communication, Predictive Modeling, Data Manipulation, Data Import/Export
Intermediate · Course · 1 - 4 Weeks

Universidad de los Andes
Skills you'll gain: Spatial Analysis, NoSQL, Spatial Data Analysis, Geospatial Mapping, Geographic Information Systems, Public Cloud, Big Data, MongoDB, Data Infrastructure, Apache Hadoop, Apache Spark, Distributed Computing, Data Architecture, Cloud Platforms, Cloud Services, Data Processing, Database Systems, Scalability, Environmental Monitoring, Climate Change Programs
Beginner · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Exploratory Data Analysis, Model Evaluation, Data Collection, Model Deployment, Data Ethics, MLOps (Machine Learning Operations), Feature Engineering, Data Cleansing, Applied Machine Learning, Data Analysis, Statistical Analysis, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Generative AI, Data Preprocessing, Continuous Monitoring
Intermediate · Course · 1 - 3 Months