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 Huddersfield
Skills you'll gain: Data Literacy, Linear Algebra, Graph Theory, Statistical Software, Big Data, Computational Logic, Back-End Web Development, Integral Calculus, Analytics, Matplotlib, Data Visualization, Probability & Statistics, Statistical Programming, Plot (Graphics), Calculus, Scatter Plots, Data Mining, R Programming, Relational Databases, Applied Mathematics
Degree · 1 - 4 Years
University of Colorado Boulder
Skills you'll gain: Model Evaluation, Data Mining, Supervised Learning, Unsupervised Learning, Service Level, Dimensionality Reduction, Deep Learning, Statistical Modeling, Probability, Applied Machine Learning, Anomaly Detection, Machine Learning Algorithms, Statistical Inference, Statistical Hypothesis Testing, Statistical Machine Learning, Data Warehousing, Model Training, Performance Testing, Bash (Scripting Language), Data Science
Graduate Certificate · 6 - 12 Months

University of London
Skills you'll gain: Process Design, Global Marketing, Consumer Behaviour, Statistical Analysis, Organizational Change, Supply Management, Process Mapping, Statistical Methods, Integrated Marketing Communications, Innovation, Mergers & Acquisitions, Performance Measurement, Training and Development, Virtual Teams, Databases, International Finance, Research, Branding, Economic Development, Cultural Diversity
Degree · 1 - 4 Years

Skills you'll gain: Statistical Process Controls, Statistical Hypothesis Testing, Process Improvement, Lean Methodologies, Kaizen Methodology, Lean Six Sigma, Process Capability, Six Sigma Methodology, Risk Analysis, Process Improvement and Optimization, Quality Improvement, Process Analysis, Statistical Analysis, Statistical Methods, Continuous Improvement Process, Quality Assessment, Risk Management, Quality Monitoring, Business Process, Continuous Quality Improvement (CQI)
★ 5 (11) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Rmarkdown, Knitr, Surveys, Survey Creation, Data Quality, Sample Size Determination, Statistical Hypothesis Testing, Data Governance, Market Research, Regression Analysis, Predictive Modeling, Quantitative Research, Data Analysis, Statistical Analysis, Key Performance Indicators (KPIs), R Programming, Excel Formulas, Business Intelligence, Data Visualization, Performance Metric
Intermediate · Specialization · 3 - 6 Months