Business Metrics for Data-Driven Companies (Duke)
Learn business metrics, cash flow, web marketing, and analytics job roles with Duke University's eight-hour, self-paced Coursera course.
Apply analytics to real business decisions across marketing, finance, operations and people.
Learn business metrics, cash flow, web marketing, and analytics job roles with Duke University's eight-hour, self-paced Coursera course.
Build Excel models that optimize decisions with Solver, test sensitivity, and simulate uncertainty, in a one-week course from Johns Hopkins.
Learn Green Belt Lean Six Sigma methods and run the statistical analysis in Python, with no coding background needed, in about 17 hours of video.
A 3h 20m Udemy course on demand planning and forecasting practice: accuracy metrics, model selection, outlier handling, and demand reviews.
A beginner-friendly Wharton course on using Excel, forecasting, optimization, simulation, and decision trees to match supply with demand.
A graduate-level MIT sequence of five courses plus a final exam covering supply chain analytics, design, dynamics and technology, taught online.
A beginner-friendly, six-course Rutgers specialization that teaches supply chain problem framing, forecasting, inventory and sourcing analytics.
Five Wharton-created courses covering customer, operations, people and accounting analytics, finished with a Yahoo-designed capstone project.
Build business analytics skills with Python, SQL, Tableau, and AWS through a three-course MicroMasters from the University of Wisconsin-Madison.
A five-course CU Boulder Specialization teaching SQL, predictive modeling, optimization, and presenting results, built around Excel tools.
Six-module Johns Hopkins course on Excel modeling: regression, linear and integer programming, and Solver for real business decisions.
Wharton's People Analytics course teaches data-driven hiring, performance evaluation, and workforce management skills for modern leaders.
Build core quantitative finance skills in derivative pricing, risk modeling, and portfolio optimization through Columbia University specialization.
Learn to build fully automated trading systems and apply Python-based quantitative analysis to stocks, forex, and market sentiment data.
An intermediate Python course covering linear models, decision trees, random forests, and neural nets to predict stock prices and build portfolios.
A six-course specialization teaching marketing analytics skills using Excel, from exploratory data analysis to predictive modeling and forecasting.
A 4-course Google certificate teaching data modeling, visualization, and dashboarding for business intelligence career roles in under 2 months.
A beginner-friendly DataCamp course teaching how to turn data analysis into clear, persuasive stories for business stakeholders and decision-makers.
A DataCamp skill track teaching Matplotlib, Seaborn, and geospatial plotting tools so you can turn raw datasets into clear, shareable visuals.
Duke University's Tableau course teaches business analysts to turn data analysis into clear, visual stories that stakeholders actually understand.
A five-course Tableau specialization from UC Davis covering data visualization, dashboards, and storytelling for complete beginners.
A short Tableau Desktop Specialist exam prep course with video lessons, a study guide, and three full-length practice tests by Lukas Halim.
A six-course DataCamp track that walks complete beginners through Power BI basics, DAX formulas, data cleanup, and dashboard building.
A hands-on Power BI Desktop course covering data prep, modeling, DAX, and dashboard design, taught by Maven Analytics' instructors.
Master Tableau from scratch with hands-on exercises. Learn to analyze, blend, and visualize data to build interactive dashboards.
Launch your career in data analytics with this comprehensive Power BI course designed for beginners and aspiring analysts.
Business Analytics is data work judged by the decision it improves, not the model it produces. This pillar covers the tools and the domain knowledge that turn analysis into action: business intelligence dashboards, visual communication with stakeholders, and applied analytics for marketing, finance, operations, supply chain and HR. The emphasis is on framing the right question, choosing metrics that cannot be gamed, and presenting findings to people who will not read your code. Many courses here need little or no programming, which makes them a practical entry point for analysts, product managers, consultants and executives who work alongside technical teams.