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 Washington
Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning Methods, Machine Learning, Image Analysis, Machine Learning Algorithms, AI Personalization, Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Supervised Learning, Bayesian Statistics, Statistical Machine Learning, Model Training, Logistic Regression, Statistical Modeling, Data Mining
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Meta Ads Manager, Data Storytelling, Business Metrics, Key Performance Indicators (KPIs), Marketing Analytics, Data-Driven Marketing, Bayesian Statistics, Data Visualization, Descriptive Statistics, Marketing Effectiveness, Statistical Hypothesis Testing, Target Audience, Marketing Strategies, Pandas (Python Package), Data Analysis, Data Visualization Software, A/B Testing, Data Collection, Marketing, Interviewing Skills
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Data Cleansing, Sampling (Statistics), Data Integrity, Data Quality, Data Transformation, Data Validation, Analytics, Sample Size Determination, Google Sheets, SQL, Spreadsheet Software
Beginner · Course · 1 - 3 Months

Skills you'll gain: Agile Project Management, Backlogs, Agile Software Development, Agile Methodology, User Story, Sprint Planning, Agile Product Development, Product Roadmaps, Sprint Retrospectives, Coaching, Team Management, Organizational Change, Prioritization, Problem Solving, Influencing
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: User Story, Software Development Life Cycle, Stakeholder Engagement, Team Motivation, Software Architecture, Project Management Life Cycle, Resource Management, Project Planning, Peer Review, Agile Software Development, Scrum (Software Development), Stakeholder Management, Agile Methodology, Project Management, Information Technology, Risk Management, Interviewing Skills, Agile Project Management, Leadership, Communication
Beginner · Professional Certificate · 3 - 6 Months
Johns Hopkins University
Skills you'll gain: Rmarkdown, Exploratory Data Analysis, R (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Wrangling, Data Visualization, Data Processing, Plot (Graphics), Statistical Programming, Statistical Visualization, Ggplot2, Knitr, Data Sharing, GitHub, Machine Learning
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Generative Model Architectures, Exploratory Data Analysis, Generative Adversarial Networks (GANs), Data Ethics, Feature Engineering, AI literacy, Predictive Modeling, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Data Synthesis, Data Analysis, Data Visualization Software, Augmented and Virtual Reality (AR/VR), Autoencoders, Machine Learning
Intermediate · Specialization · 1 - 3 Months

University of Michigan
Skills you'll gain: Sampling (Statistics), Data Visualization, Plot (Graphics), Statistics, Matplotlib, Statistical Visualization, Statistical Programming, Seaborn, Probability & Statistics, Jupyter, Statistical Methods, Data Visualization Software, Data Analysis, Statistical Analysis, Exploratory Data Analysis, Descriptive Statistics, Statistical Inference, Data Collection, NumPy, Python Programming
Beginner · Course · 1 - 4 Weeks

University of California, Davis
Skills you'll gain: Presentations, Data Governance, SQL, Data Presentation, Apache Spark, Distributed Computing, Descriptive Statistics, Data Lakes, Data Storytelling, Peer Review, Data Quality, Exploratory Data Analysis, Descriptive Analytics, Data Architecture, Data Literacy, Data Pipelines, Databricks, Data Analysis, Complex Problem Solving, JSON
Beginner · Specialization · 3 - 6 Months

Eindhoven University of Technology
Skills you'll gain: Statistical Inference, Scientific Methods, Statistical Hypothesis Testing, Quantitative Research, Bayesian Statistics, Statistical Software, Statistical Analysis, Statistical Methods, Probability & Statistics, Sample Size Determination, Research, Data Literacy, General Science and Research, Data Sharing, Probability Distribution
Intermediate · Course · 1 - 3 Months

University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Machine Learning, Sampling (Statistics), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Systems Development, Simulations, Solution Architecture, Agentic systems, Feature Engineering, Model Training, Artificial Intelligence and Machine Learning (AI/ML), Markov Model, Decision Intelligence, Supervised Learning, Algorithms, Model Evaluation, Applied Machine Learning
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Data Warehousing, Extract, Transform, Load, Data Pipelines, Linux Commands, SQL, IBM Cognos Analytics, Apache Kafka, Bash (Scripting Language), Apache Airflow, Shell Script, IBM DB2, Data Transformation, Data Visualization, Dashboard, File Management, Dashboard Creation, Star Schema, Database Management, Relational Databases, Stored Procedure
Beginner · Specialization · 3 - 6 Months