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.

DeepLearning.AI
Skills you'll gain: Model Evaluation, Deep Learning, Statistical Analysis, Clinical Trials, Data Preprocessing, Risk Modeling, Treatment Planning, Data Analysis, Convolutional Neural Networks, Decision Tree Learning, Predictive Modeling, Feature Engineering, Patient Treatment, Image Analysis, Applied Machine Learning, AI Personalization, Diagnostic Radiology, Machine Learning, Random Forest Algorithm, Forecasting
Intermediate · Specialization · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Rmarkdown, Version Control, Data Science, R (Software), GitHub, Data Literacy, Data Analysis, R Programming, Statistical Programming, Exploratory Data Analysis, Software Installation
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Software Development Life Cycle, Software Architecture, Software Design, Software Development Methodologies, Software Design Patterns, Development Environment, Unified Modeling Language, Software Engineering, Web Applications, Software Development Tools, Software Development, Application Deployment, Programming Principles, Front-End Web Development, Back-End Web Development, Software Documentation, Computer Programming, Python Programming
Beginner · Course · 1 - 3 Months

Skills you'll gain: Failure Analysis, Applied Machine Learning, Spatial Data Analysis, Predictive Modeling, Statistical Machine Learning
Intermediate · Course · 1 - 4 Weeks

University of California San Diego
Skills you'll gain: Data Structures, Graph Theory, Algorithms, Program Development, Bioinformatics, Data Storage, Development Testing, Theoretical Computer Science, Computational Thinking, Network Analysis, Test Case, Programming Principles, Computer Programming, Python Programming, C and C++, Java, Rust (Programming Language), Javascript, Software Testing, Debugging
Intermediate · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Descriptive Statistics, Dashboard, Histogram, Data Presentation, Data Storytelling, Exploratory Data Analysis, Tableau Software, Data Visualization, Interactive Data Visualization, Data-Driven Decision-Making, Analytics, Business Analysis, Strategic Decision-Making, Data Quality, Performance Analysis, Stakeholder Analysis, Business Metrics, Performance Metric
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Sample Size Determination, Sampling (Statistics), Survey Creation, Quantitative Research, Research Design, Business Research, Data Collection, Statistical Methods, Statistics, Decision Making, Probability & Statistics
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Process Capability, Lean Six Sigma, Root Cause Analysis, Statistics, Process Mapping, Process Analysis, Performance Measurement, Statistical Methods, Statistical Process Controls, Descriptive Statistics, Probability & Statistics, Process Improvement, Statistical Analysis, Failure Mode And Effects Analysis, Risk Analysis, Systems Of Measurement
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Model Evaluation, Supervised Learning, Feature Engineering, Transfer Learning, NumPy, Matplotlib, Convolutional Neural Networks, Statistical Methods, Deep Learning, Applied Machine Learning, Data Visualization, Keras (Neural Network Library), Python Programming, Pandas (Python Package), Seaborn, Applied Mathematics, Machine Learning, Machine Learning Algorithms, Tensorflow
Intermediate · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Machine Learning Methods, Scikit Learn (Machine Learning Library), Data Preprocessing, Applied Machine Learning, Classification And Regression Tree (CART), Performance Metric, Regression Analysis, Continuous Monitoring, Statistical Methods, Statistical Hypothesis Testing, Algorithms
Intermediate · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Unified Modeling Language, JSON, Object Oriented Programming (OOP), File I/O, Software Design, Debugging, Object Oriented Design, Data Processing, Web Scraping, Unit Testing, Programming Principles, Program Development, Python Programming, Data Import/Export, Restful API, Image Analysis, Data Manipulation, Jupyter, Computer Programming, Data Structures
Beginner · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Continuous Deployment, Model Evaluation, Data Preprocessing, Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Debugging, Continuous Monitoring, Data Pipelines
Intermediate · Course · 1 - 4 Weeks