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About this package: A non-technical pack designed for people teams. It builds data literacy and governance awareness, then adds Copilot and AI workflow automation so HR and L&D staff can work smarter without needing to code. The most affordable pack in the catalog. Designed for: HR professionals, L&D teams, and non-technical staff -
About this package: The entry point into data work. This pack takes someone with no formal analytics background and gives them the four essentials — data literacy, Excel, SQL, and Python — that every analyst role now assumes. It is the natural first purchase for teams building baseline capability. Designed for: All employees, junior analysts, and career switchers -
About this package: The newest pack, and the broadest on-ramp. Designed for entire workforces with no technical background, it delivers AI literacy, data literacy, governance awareness, and Copilot skills so every employee can use AI safely and productively. Designed for: All staff — zero technical background required -
About this package: Tailored for decision-makers rather than practitioners. It combines data-driven decision making, AI strategy and governance, finance fundamentals, and Copilot productivity, giving leaders the fluency to direct AI and data initiatives with confidence. Designed for: C-suite, directors, and strategy leads -
About this package: Built for the people who turn data into dashboards and reports the rest of the business relies on. It pairs Excel and governance grounding with the two leading BI tools, Power BI and Tableau, producing certified, job-ready reporting professionals. Designed for: BI developers, report writers, and dashboard builders -
About this package: A focused path into applied data science. Learners build from Python foundations into machine learning and natural language processing, finishing able to frame problems and build models that drive decisions. Designed for: Data scientists and machine-learning practitioners -
About this package: For the people who build the pipelines everyone else depends on. It combines advanced SQL with data-engineering foundations, Snowflake, and Databricks/Spark, producing engineers who can move and process data reliably at scale. Designed for: Data engineers and analytics engineers -
About this package: For software engineers who want to work across the whole stack, including AI. It pairs production Python and advanced SQL with version control and the Claude/Anthropic ecosystem, reflecting how modern development now includes agentic coding. Designed for: Full-stack developers and software engineers -
About this package: A focused path into applied data science. Learners build from Python foundations into machine learning and natural language processing, finishing able to frame problems and build models that drive decisions. Designed for: Data scientists and machine-learning practitioners -
About this package: A specialist pack for the finance sector. It runs from finance fundamentals into quantitative finance, risk analytics, applied machine learning, and Python analysis — the toolkit for quants, risk teams, and fintech engineers. Designed for: Quants, risk managers, and fintech engineers -
About this package: The most comprehensive infrastructure pack, spanning all three major clouds — AWS, Azure, and Google Cloud — plus Kubernetes. It is aimed at engineers responsible for the platforms modern applications run on. Designed for: Cloud engineers, DevOps, and platform engineers
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