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Explore a wide range of free and certified Sports analytics online courses. Find the best Sports analytics training programs and enhance your skills today!
Build data analytics skills across Excel, SQL, ETL, Tableau, Power BI, Python and R, and apply generative AI, prompt engineering, and ChatGPT to analytics work.
Apply choice modeling, conjoint analysis, propensity weighting, multidimensional scaling, factor analysis, and marketing mix models in Python to guide pricing, positioning, and budget decisions.
Build practical data analysis skills with Excel, Python, SQL, visualization, machine learning, Tableau, and hands-on capstone projects.
Build a data analytics foundation by connecting statistical analysis, forecasting, visualization, and optimization to strategic decision-making.
A three-level Excel course that builds data-analysis workflows from formulas and charts to Pivot Tables, advanced functions, and macros.
Apply AI tools to collect, prepare, analyze, visualize, and interpret data with minimal coding, culminating in a comprehensive data analysis project.
Learn R for analytics: wrangle data with dplyr and tidyr, connect to databases, chart with ggplot2 and Leaflet, and build and deploy interactive Shiny apps.
Explore data analytics career paths, build a portfolio of analytics projects, and prepare for Data Analyst and Business Analyst job interviews.
Hands-on training for aspiring data and business analysts, using real-world projects to practice data analysis, visualization, and statistical techniques.
Hands-on training in analyzing datasets, building predictive models, and creating AI-powered applications with Python and industry tools.
Model, store and analyze graph-structured data: apply graph properties, query networks with Neo4j and Cypher, and scale analytics with GraphX and Giraph.
Master and apply the core methodologies used in supply chain analysis and modeling, including statistics, regression, optimization and probability ​- part of the MITx Supply Chain Management MicroMast
Apply Your Skills with a Power BI Case Study In this Power BI case study, you will be exploring a dataset for a fictitious software company called Atlas Labs.
Tackle adblocking for a fictional search and content company: write a problem statement, recommend a data-driven strategy, and plan how to measure its effects.
Walk the full data analytics process: define the problem, query relational databases with SQL, then load, clean, summarize and visualize data using pandas and NumPy.
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