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.

MathWorks
Skills you'll gain: Plot (Graphics), Scripting, Matlab, User Interface and User Experience (UI/UX) Design, Data Manipulation, Data Visualization Software, Generative AI, Interactive Data Visualization, Mathematical Modeling, Data Visualization, LLM Application, Data Sharing, Scientific Visualization, Data Storytelling, Data Analysis, Code Review, Descriptive Statistics, User Interface (UI) Design, Engineering Calculations, Programming Principles
Beginner · Specialization · 1 - 3 Months

Rice University
Skills you'll gain: Physics, electromagnetics, Materials science, Mechanics, Physical Science, Vibrations, Trigonometry, Mathematical Modeling, Advanced Mathematics, Linear Algebra, Engineering Analysis, Differential Equations, Applied Mathematics, Problem Solving
Intermediate · Course · 1 - 4 Weeks

Illinois Tech
Skills you'll gain: Financial Statement Analysis, Financial Statements, Financial Analysis, Inventory Accounting, Generally Accepted Accounting Principles (GAAP), Financial Accounting, Income Statement, Cash Flows, Balance Sheet, Profit and Loss (P&L) Management, Financial Forecasting, Working Capital, Fraud detection, Trend Analysis
Build toward a degree
Beginner · Course · 1 - 3 Months

Skills you'll gain: Vector Databases, MongoDB, NoSQL, Applied Machine Learning, Apache Cassandra, Text Mining, Image Analysis, Node.JS, Database Application
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Predictive Modeling, Data Visualization, Predictive Analytics, Statistical Analysis, Data Manipulation, Data Analysis, Data Science, Statistical Methods, Pandas (Python Package), Statistics, Data Wrangling, Data Cleansing, Analytics, Data Preprocessing, Data Processing, Data-Driven Decision-Making, Business Analytics, Exploratory Data Analysis, Model Evaluation, Machine Learning
Beginner · Course · 1 - 4 Weeks

American Psychological Association
Skills you'll gain: Statistical Hypothesis Testing, Sample Size Determination, Probability & Statistics, Probability Distribution, Statistical Methods, Quantitative Research, Statistical Inference, Sampling (Statistics), Statistical Analysis, Probability, Data Analysis
Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Tidyverse (R Package), Ggplot2, Data Wrangling, Statistical Modeling, Exploratory Data Analysis, Plot (Graphics), R Programming, Data Import/Export, Predictive Modeling, Data Visualization, Data Visualization Software, Statistical Hypothesis Testing, Data Analysis, Data Manipulation, Data Modeling, Regression Analysis, Web Scraping, Data Science, R (Software), Data Analysis Software
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Image Analysis, Tensorflow, Computer Vision, Transfer Learning, Applied Machine Learning, Machine Learning, Data Preprocessing, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Johns Hopkins University
Skills you'll gain: Algebra, Graphing, Advanced Mathematics, Logical Reasoning, General Mathematics, Mathematical Theory & Analysis, Applied Mathematics, Mathematical Modeling, Visualization (Computer Graphics), Correlation Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: ASP.NET, C# (Programming Language), Application Programming Interface (API), Microsoft Development Tools, Restful API, Microsoft Azure, Web Applications, Integrated Development Environments, Application Development, Development Environment, Virtual Environment, Middleware
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Natural Language Processing, Text Mining, Data Manipulation, Unstructured Data, Markov Model, Data Preprocessing, Python Programming, Applied Machine Learning, Feature Engineering, Algorithms, Probability & Statistics
Intermediate · Course · 1 - 3 Months

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, Data Strategy, Machine Learning, Embeddings, MLOps (Machine Learning Operations), Model Evaluation, Applied Machine Learning, Unsupervised Learning, Dataflow, Data Analysis, Deep Learning, Artificial Neural Networks
Intermediate · Specialization · 3 - 6 Months