Learn with focused lessons, practical activities, knowledge checks, and a project in every course. Choose a subject and study at your own pace.
Organize a small dataset, use spreadsheet formulas, and explain a finding with an honest chart.
You will make: Create a one-page data story with a question, chart, finding, and limitation.
Explore courseBuild foundational knowledge through guided instruction, practical examples, and supported practice. Develop practical skills in asking clear questions of structured data with basic SQL through applied scenarios and a final work sample.
You will make: Write and explain a small set of read-only queries against a fictional practice dataset.
Explore courseBuild foundational knowledge through guided instruction, practical examples, and supported practice. Develop practical skills in finding missing, duplicate, inconsistent, and implausible data through applied scenarios and a final work sample.
You will make: Document a small data-cleaning workflow and keep an audit note of every correction.
Explore courseBuild foundational knowledge through guided instruction, practical examples, and supported practice. Develop practical skills in choosing honest visual forms that match a data question through applied scenarios and a final work sample.
You will make: Create a chart with a title, labelled axes, and a note about the source or limitation.
Explore courseBuild foundational knowledge through guided instruction, practical examples, and supported practice. Develop practical skills in communicating a finding with evidence, context, and limitations through applied scenarios and a final work sample.
You will make: Produce a one-page data story with a question, evidence, finding, limitation, and next step.
Explore courseBuild on foundational knowledge by comparing methods, adapting them to constraints, and supporting decisions with evidence. Develop practical skills in sql for business analysis through applied scenarios and a final work sample.
You will make: Create a practical sql for business analysis work sample for data & analytics. Explain its goal, method, evidence, limitations, and recommended next step.
Explore courseBuild on foundational knowledge by comparing methods, adapting them to constraints, and supporting decisions with evidence. Develop practical skills in dashboard design and data communication through applied scenarios and a final work sample.
You will make: Create a practical dashboard design and data communication work sample for data & analytics. Explain its goal, method, evidence, limitations, and recommended next step.
Explore courseBuild on foundational knowledge by comparing methods, adapting them to constraints, and supporting decisions with evidence. Develop practical skills in experiment design and measurement through applied scenarios and a final work sample.
You will make: Create a practical experiment design and measurement work sample for data & analytics. Explain its goal, method, evidence, limitations, and recommended next step.
Explore courseBuild on foundational knowledge by comparing methods, adapting them to constraints, and supporting decisions with evidence. Develop practical skills in data quality and validation through applied scenarios and a final work sample.
You will make: Create a practical data quality and validation work sample for data & analytics. Explain its goal, method, evidence, limitations, and recommended next step.
Explore courseBuild on foundational knowledge by comparing methods, adapting them to constraints, and supporting decisions with evidence. Develop practical skills in operational forecasting foundations through applied scenarios and a final work sample.
You will make: Create a practical operational forecasting foundations work sample for data & analytics. Explain its goal, method, evidence, limitations, and recommended next step.
Explore courseIntegrate multiple methods, justify complex trade-offs, evaluate uncertainty, and produce work suitable for expert review. Develop practical skills in advanced analytics and statistical reasoning through applied scenarios and a final work sample.
You will make: Create a practical advanced analytics and statistical reasoning work sample for data & analytics. Explain its goal, method, evidence, limitations, and recommended next step.
Explore courseIntegrate multiple methods, justify complex trade-offs, evaluate uncertainty, and produce work suitable for expert review. Develop practical skills in data governance and privacy engineering through applied scenarios and a final work sample.
You will make: Create a practical data governance and privacy engineering work sample for data & analytics. Explain its goal, method, evidence, limitations, and recommended next step.
Explore courseIntegrate multiple methods, justify complex trade-offs, evaluate uncertainty, and produce work suitable for expert review. Develop practical skills in predictive model evaluation through applied scenarios and a final work sample.
You will make: Create a practical predictive model evaluation work sample for data & analytics. Explain its goal, method, evidence, limitations, and recommended next step.
Explore courseIntegrate multiple methods, justify complex trade-offs, evaluate uncertainty, and produce work suitable for expert review. Develop practical skills in experimentation and causal inference through applied scenarios and a final work sample.
You will make: Create a practical experimentation and causal inference work sample for data & analytics. Explain its goal, method, evidence, limitations, and recommended next step.
Explore courseIntegrate multiple methods, justify complex trade-offs, evaluate uncertainty, and produce work suitable for expert review. Develop practical skills in analytics strategy and decision systems through applied scenarios and a final work sample.
You will make: Create a practical analytics strategy and decision systems work sample for data & analytics. Explain its goal, method, evidence, limitations, and recommended next step.
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