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.

Erasmus University Rotterdam
Skills you'll gain: Transportation Operations, Law, Regulation, and Compliance, Case Law, Labor Law, Labor Relations, Commercial Laws, Case Studies, Regulation and Legal Compliance, Court Systems, Civil Law, Workers Compensation, Legal Research, Coordination
Advanced · Course · 1 - 3 Months
University of Michigan
Skills you'll gain: Exploratory Data Analysis, Rmarkdown, R (Software), Tidyverse (R Package), Statistical Visualization, Data Visualization, Data Visualization Software, R Programming, Ggplot2, Data Wrangling, Scatter Plots, Data Manipulation, Histogram, Scripting, Package and Software Management, Data Import/Export
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Ggplot2, Data Manipulation, Convolutional Neural Networks, Plotly, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Dimensionality Reduction
Beginner · Specialization · 3 - 6 Months

University of Minnesota
Skills you'll gain: Predictive Modeling, Predictive Analytics, Business Analytics, Customer Analysis, Project Design, Applied Machine Learning, Solution Design, Sprint Planning, Machine Learning, Brainstorming, Trend Analysis, Design Thinking, Analysis, Decision Tree Learning, Deep Learning, Time Series Analysis and Forecasting, Quality Control
Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Data Visualization Software, Scientific Visualization, Interactive Data Visualization, Geospatial Information and Technology, Data Presentation, Color Theory, Graphic and Visual Design, Data Visualization, Tree Maps, Visualization (Computer Graphics), Data Storytelling, Design Elements And Principles, Plot (Graphics), Data Literacy, Heat Maps, Computer Displays, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Mapping, Display Devices
Intermediate · Specialization · 3 - 6 Months

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

University of Colorado Boulder
Skills you'll gain: File I/O, C and C++, Communication Systems
Advanced · Course · 1 - 3 Months

L&T EduTech
Skills you'll gain: Machine Learning Algorithms, Computer Vision, Applied Machine Learning, Image Analysis, Civil Engineering, Artificial Intelligence, Electrical Substation, Machine Learning, Tensorflow, Convolutional Neural Networks, Deep Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Electric Power Systems, Electrical Engineering, Oil and Gas, Mechanical Engineering, Data Preprocessing, Healthcare 5.0
Intermediate · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Dashboard, Data Visualization Software, Tableau Software, Data Visualization, Interactive Data Visualization, Data Storytelling, Data Presentation, Data Analysis, Geospatial Mapping, Histogram, Advanced Analytics, Spatial Analysis, Scatter Plots, Data Science, Data Manipulation, Data Import/Export, Business Analytics, Marketing Analytics, Analytics, Forecasting
Beginner · Specialization · 1 - 3 Months

Illinois Tech
Skills you'll gain: NoSQL, Big Data, Model Evaluation, Apache Hadoop, Recurrent Neural Networks (RNNs), Deep Learning, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Apache Spark, Generative AI, Convolutional Neural Networks, Transfer Learning, Data Infrastructure, Data Cleansing, Real Time Data, Apache Kafka, Data Management, Machine Learning
Build toward a degree
Intermediate · Specialization · 3 - 6 Months
Duke University
Skills you'll gain: Data-Driven Decision-Making, Logistic Regression, Statistical Modeling, Model Evaluation, Predictive Modeling, Regression Analysis, R Programming, Statistics, Data Analysis, Probability & Statistics, Statistical Inference
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Data Preprocessing, Tensorflow, Applied Machine Learning, Feature Engineering, Data Cleansing, Classification And Regression Tree (CART), Machine Learning, Random Forest Algorithm, Pandas (Python Package), Data Analysis, Exploratory Data Analysis
Intermediate · Guided Project · Less Than 2 Hours