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.
University of Colorado Boulder
Skills you'll gain: Engineering Analysis, Vibrations, Mechanics, Finite Element Methods, Differential Equations, Applied Mathematics, Mathematical Modeling, Integral Calculus, Calculus
Advanced · Course · 1 - 4 Weeks

Packt
Skills you'll gain: Data Cleansing, Data Manipulation, Advanced Analytics, Applied Machine Learning, Data Wrangling, Fraud detection, Data Transformation, Predictive Modeling, Data Processing, Machine Learning, Data Analysis, Model Training, Data Preprocessing, Sampling (Statistics), Data Integration, Case Studies, Model Evaluation, Workflow Management
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Precision Medicine, Game Theory, Reinforcement Learning, Data-Driven Decision-Making, Clinical Trials, Bioinformatics, Image Analysis, Markov Model, Bayesian Statistics, Data Analysis, Time Series Analysis and Forecasting, Decision Making, Data Science, Biostatistics, Strategic Decision-Making, Clinical Research, Statistical Methods, Cyber Security Strategy, Decision Intelligence, Statistical Analysis
Intermediate · Specialization · 3 - 6 Months

Universidade de São Paulo
Skills you'll gain: Network Analysis, Social Network Analysis, Data Visualization, Scientific Visualization, Network Model, Graphing, Graph Theory, Exploratory Data Analysis, Environmental Science, R (Software), Data Analysis, R Programming, Data Science, Data Processing
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Model Optimization, Feature Engineering, Tensorflow, Machine Learning, Machine Learning Methods, Google Cloud Platform, Machine Learning Software, Model Deployment, Applied Machine Learning, Data Preprocessing, Cloud Storage, Data Quality, Cloud Computing, Model Training, Keras (Neural Network Library), Machine Learning Algorithms, Statistical Machine Learning, Embeddings, Fine-tuning, Dataflow
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Clinical Data Management, Statistical Reporting, Data Sharing, Version Control, Clinical Trials, GitHub, Data Quality, Medical Privacy, Quality Assurance, Risk Analysis, Risk Management, R (Software), Maintainability, DevOps, R Programming, Package and Software Management, Agile Software Development, Agile Methodology
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Google Analytics, Driving engagement, Web Analytics, Benchmarking, Drive Engagement, Customer Engagement, Customer Analysis, Performance Analysis, Journey Mapping, Customer Retention, Marketing
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Plotly, Data Visualization, Machine Learning, Scientific Visualization, Social Sciences, Machine Learning Methods, Socioeconomics, Statistical Machine Learning, Machine Learning Algorithms, Social Studies, Economics, Policy, and Social Studies, Social Determinants Of Health, Data Mining, Data Analysis, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Microsoft Teams, Slack (Software), Google Workspace, Collaborative Software, Productivity Software, Microsoft 365, Virtual Teams, Meeting Facilitation, Setting Appointments, Internal Communications, Communication
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Anthropic Claude, Business Intelligence, Data Presentation, Data Visualization, Data Storytelling, Trend Analysis, Sales Presentations, Sales, Business Analytics, Sales Strategy, Data-Driven Decision-Making, Data Analysis, Business Strategies, Business Strategy, Business Analysis, LLM Application
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Apache Kafka, Apache Hadoop, Apache Spark, Real Time Data, Scala Programming, Data Integration, Command-Line Interface, AWS Kinesis, Apache Hive, Big Data, Applied Machine Learning, Data Processing, Systems Design, System Design and Implementation, Apache Cassandra, Data Pipelines, Java, Distributed Computing, Query Languages, IntelliJ IDEA
Intermediate · Specialization · 3 - 6 Months
Duke University
Skills you'll gain: Responsible AI, Large Language Modeling, Decision Tree Learning, Data Ethics, Regression Analysis, Artificial Intelligence, Machine Learning, Applied Machine Learning, Statistical Modeling, Python Programming, Embeddings, Deep Learning, Machine Learning Algorithms, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks