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.

École Polytechnique Fédérale de Lausanne
Skills you'll gain: Spatial Analysis, Spatial Data Analysis, GIS Software, Geographic Information Systems, Geospatial Mapping, Geostatistics, Interactive Data Visualization, Data Integration, Data Mapping, Augmented Reality, Sampling (Statistics)
Beginner · Course · 1 - 3 Months

Vanderbilt University
Skills you'll gain: Generative Model Architectures, Generative AI, Model Deployment, Model Evaluation, Prompt Engineering, Applied Machine Learning, LLM Application, Retrieval-Augmented Generation, Artificial Intelligence
Beginner · Course · 1 - 4 Weeks

KodeKloud
Skills you'll gain: Package and Software Management, Command-Line Interface, Linux Commands, Linux, Linux Administration, Unix Commands, File Systems, Data Storage, Network Troubleshooting, Operating Systems, Remote Access Systems, Operating System Administration, System Support, Software Installation, File Management, Service Management, General Networking, DevOps, Network Security, User Accounts
Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: Plotly, Exploratory Data Analysis, Scatter Plots, Plot (Graphics), Data Visualization, Data Visualization Software, Interactive Data Visualization, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Data Preprocessing, Data Quality, Applied Machine Learning, Data Cleansing, Machine Learning, MLOps (Machine Learning Operations), Model Deployment, Data Pipelines, Supervised Learning, Machine Learning Algorithms, Model Evaluation, Performance Tuning, AI Security, Data Transformation, Embeddings
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Data Preprocessing, Data Transformation, MLOps (Machine Learning Operations), Anomaly Detection, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Model Evaluation, Natural Language Processing, Data Science, Quality Assurance, Data Pipelines, Data Visualization, Python Programming
Advanced · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Data Analysis, Analytical Skills, Data Management, Exploratory Data Analysis, Statistical Reporting, Data-Driven Decision-Making, Trend Analysis, Data Presentation, Data Collection, Statistical Modeling, Data Validation, Statistical Inference, Model Evaluation, Communication
Mixed · Course · 1 - 4 Weeks

Universitat Politècnica de València
Skills you'll gain: Calculus, Algebra, Derivatives, Applied Mathematics, Mathematical Theory & Analysis, Trigonometry, Geometry, Graphing
Beginner · Course · 1 - 3 Months

Board Infinity
Skills you'll gain: Data Visualization Software, Dashboard, Data Visualization, Interactive Data Visualization, Data Transformation, Tableau Software, Data Storytelling, Data Manipulation, Exploratory Data Analysis, Heat Maps, Scatter Plots, Data Analysis, Forecasting, Geospatial Mapping
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Hypertext Markup Language (HTML), Cascading Style Sheets (CSS), Responsive Web Design, Browser Compatibility, Web Development
Intermediate · Guided Project · Less Than 2 Hours

Splunk Inc.
Skills you'll gain: Splunk, Correlation Analysis, Performance Tuning, Data Manipulation, Data Analysis, Data Modeling, Big Data, Transaction Processing, Data Science, Business Analytics, Data Visualization
Beginner · Course · 1 - 4 Weeks

O.P. Jindal Global University
Skills you'll gain: Anomaly Detection, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Marketing Analytics, Data Mining, Feature Engineering, Autoencoders, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Methods, Marketing, Statistical Machine Learning, Target Audience, Python Programming, Market Analysis, Exploratory Data Analysis, Model Evaluation, Algorithms
Beginner · Course · 1 - 3 Months