Develop, train and evaluate ML models. In practice this covers independent execution, quality assurance of one's own results, and close alignment with adjacent roles and interfaces.Develop, train and evaluate ML models. In practice this covers independent execution, quality assurance of one's own results, and close alignment with adjacent roles and interfaces.Develop, train and evaluate ML models. In practice this covers independent execution, quality assurance of one's own results, and close alignment with adjacent roles and interfaces. moreDevelop, train and evaluate ML models. In practice this covers independent execution, quality assurance of one's own results, and close alignment with adjacent roles and interfaces.

Develop applications, scripts and data analyses with Python. Covers implementing new features, reading and refactoring existing code, writing tests, and working with package managers, debugging tools and the ecosystem's tooling.Develop applications, scripts and data analyses with Python. Covers implementing new features, reading and refactoring existing code, writing tests, and working with package managers, debugging tools and the ecosystem's tooling.Develop applications, scripts and data analyses with Python. Covers implementing new features, reading and refactoring existing code, writing tests, and working with package managers, debugging tools and the ecosystem's tooling. moreDevelop applications, scripts and data analyses with Python. Covers implementing new features, reading and refactoring existing code, writing tests, and working with package managers, debugging tools and the ecosystem's tooling.

Validate hypotheses through controlled experiments. Covers preparing and quality-assuring the data, methodologically sound analysis, visualising results and presenting them audience-appropriately as a basis for decisions.Validate hypotheses through controlled experiments. Covers preparing and quality-assuring the data, methodologically sound analysis, visualising results and presenting them audience-appropriately as a basis for decisions.Validate hypotheses through controlled experiments. Covers preparing and quality-assuring the data, methodologically sound analysis, visualising results and presenting them audience-appropriately as a basis for decisions. moreValidate hypotheses through controlled experiments. Covers preparing and quality-assuring the data, methodologically sound analysis, visualising results and presenting them audience-appropriately as a basis for decisions.

Develop neural networks with PyTorch or TensorFlow. In practice this covers independent execution, quality assurance of one's own results, and close alignment with adjacent roles and interfaces.Develop neural networks with PyTorch or TensorFlow. In practice this covers independent execution, quality assurance of one's own results, and close alignment with adjacent roles and interfaces.Develop neural networks with PyTorch or TensorFlow. In practice this covers independent execution, quality assurance of one's own results, and close alignment with adjacent roles and interfaces. moreDevelop neural networks with PyTorch or TensorFlow. In practice this covers independent execution, quality assurance of one's own results, and close alignment with adjacent roles and interfaces.

Query and model data with SQL and work with relational databases. Covers preparing and quality-assuring the data, methodologically sound analysis, visualising results and presenting them audience-appropriately as a basis for decisions.Query and model data with SQL and work with relational databases. Covers preparing and quality-assuring the data, methodologically sound analysis, visualising results and presenting them audience-appropriately as a basis for decisions.Query and model data with SQL and work with relational databases. Covers preparing and quality-assuring the data, methodologically sound analysis, visualising results and presenting them audience-appropriately as a basis for decisions. moreQuery and model data with SQL and work with relational databases. Covers preparing and quality-assuring the data, methodologically sound analysis, visualising results and presenting them audience-appropriately as a basis for decisions.

Analyse and interpret data using statistical methods. Covers preparing and quality-assuring the data, methodologically sound analysis, visualising results and presenting them audience-appropriately as a basis for decisions.Analyse and interpret data using statistical methods. Covers preparing and quality-assuring the data, methodologically sound analysis, visualising results and presenting them audience-appropriately as a basis for decisions.Analyse and interpret data using statistical methods. Covers preparing and quality-assuring the data, methodologically sound analysis, visualising results and presenting them audience-appropriately as a basis for decisions. moreAnalyse and interpret data using statistical methods. Covers preparing and quality-assuring the data, methodologically sound analysis, visualising results and presenting them audience-appropriately as a basis for decisions.

Use generative AI tools productively and responsibly. In practice this covers independent execution, quality assurance of one's own results, and close alignment with adjacent roles and interfaces.Use generative AI tools productively and responsibly. In practice this covers independent execution, quality assurance of one's own results, and close alignment with adjacent roles and interfaces.Use generative AI tools productively and responsibly. In practice this covers independent execution, quality assurance of one's own results, and close alignment with adjacent roles and interfaces. moreUse generative AI tools productively and responsibly. In practice this covers independent execution, quality assurance of one's own results, and close alignment with adjacent roles and interfaces.

Clean, merge and prepare raw data for analysis. Covers preparing and quality-assuring the data, methodologically sound analysis, visualising results and presenting them audience-appropriately as a basis for decisions.Clean, merge and prepare raw data for analysis. Covers preparing and quality-assuring the data, methodologically sound analysis, visualising results and presenting them audience-appropriately as a basis for decisions.Clean, merge and prepare raw data for analysis. Covers preparing and quality-assuring the data, methodologically sound analysis, visualising results and presenting them audience-appropriately as a basis for decisions. moreClean, merge and prepare raw data for analysis. Covers preparing and quality-assuring the data, methodologically sound analysis, visualising results and presenting them audience-appropriately as a basis for decisions.

Design business and technical data models. Covers preparing and quality-assuring the data, methodologically sound analysis, visualising results and presenting them audience-appropriately as a basis for decisions.Design business and technical data models. Covers preparing and quality-assuring the data, methodologically sound analysis, visualising results and presenting them audience-appropriately as a basis for decisions.Design business and technical data models. Covers preparing and quality-assuring the data, methodologically sound analysis, visualising results and presenting them audience-appropriately as a basis for decisions. moreDesign business and technical data models. Covers preparing and quality-assuring the data, methodologically sound analysis, visualising results and presenting them audience-appropriately as a basis for decisions.

Create dashboards and meaningful visualisations. Covers preparing and quality-assuring the data, methodologically sound analysis, visualising results and presenting them audience-appropriately as a basis for decisions.Create dashboards and meaningful visualisations. Covers preparing and quality-assuring the data, methodologically sound analysis, visualising results and presenting them audience-appropriately as a basis for decisions.Create dashboards and meaningful visualisations. Covers preparing and quality-assuring the data, methodologically sound analysis, visualising results and presenting them audience-appropriately as a basis for decisions. moreCreate dashboards and meaningful visualisations. Covers preparing and quality-assuring the data, methodologically sound analysis, visualising results and presenting them audience-appropriately as a basis for decisions.

Collaborate efficiently with Teams, Slack, Confluence and similar. In practice this covers independent execution, quality assurance of one's own results, and close alignment with adjacent roles and interfaces.Collaborate efficiently with Teams, Slack, Confluence and similar. In practice this covers independent execution, quality assurance of one's own results, and close alignment with adjacent roles and interfaces.Collaborate efficiently with Teams, Slack, Confluence and similar. In practice this covers independent execution, quality assurance of one's own results, and close alignment with adjacent roles and interfaces. moreCollaborate efficiently with Teams, Slack, Confluence and similar. In practice this covers independent execution, quality assurance of one's own results, and close alignment with adjacent roles and interfaces.

Model and analyse data with Power Query, pivots and formulas. Covers preparing and quality-assuring the data, methodologically sound analysis, visualising results and presenting them audience-appropriately as a basis for decisions.Model and analyse data with Power Query, pivots and formulas. Covers preparing and quality-assuring the data, methodologically sound analysis, visualising results and presenting them audience-appropriately as a basis for decisions.Model and analyse data with Power Query, pivots and formulas. Covers preparing and quality-assuring the data, methodologically sound analysis, visualising results and presenting them audience-appropriately as a basis for decisions. moreModel and analyse data with Power Query, pivots and formulas. Covers preparing and quality-assuring the data, methodologically sound analysis, visualising results and presenting them audience-appropriately as a basis for decisions.

Analyse KPIs, explain variances and deliver ad-hoc reports. Covers preparing and quality-assuring the data, methodologically sound analysis, visualising results and presenting them audience-appropriately as a basis for decisions.Analyse KPIs, explain variances and deliver ad-hoc reports. Covers preparing and quality-assuring the data, methodologically sound analysis, visualising results and presenting them audience-appropriately as a basis for decisions.Analyse KPIs, explain variances and deliver ad-hoc reports. Covers preparing and quality-assuring the data, methodologically sound analysis, visualising results and presenting them audience-appropriately as a basis for decisions. moreAnalyse KPIs, explain variances and deliver ad-hoc reports. Covers preparing and quality-assuring the data, methodologically sound analysis, visualising results and presenting them audience-appropriately as a basis for decisions.

Analyse data with formulas, pivot tables and charts. In practice this covers independent execution, quality assurance of one's own results, and close alignment with adjacent roles and interfaces.Analyse data with formulas, pivot tables and charts. In practice this covers independent execution, quality assurance of one's own results, and close alignment with adjacent roles and interfaces.Analyse data with formulas, pivot tables and charts. In practice this covers independent execution, quality assurance of one's own results, and close alignment with adjacent roles and interfaces. moreAnalyse data with formulas, pivot tables and charts. In practice this covers independent execution, quality assurance of one's own results, and close alignment with adjacent roles and interfaces.

Manage documents, emails and appointments with Microsoft Office. In practice this covers independent execution, quality assurance of one's own results, and close alignment with adjacent roles and interfaces.Manage documents, emails and appointments with Microsoft Office. In practice this covers independent execution, quality assurance of one's own results, and close alignment with adjacent roles and interfaces.Manage documents, emails and appointments with Microsoft Office. In practice this covers independent execution, quality assurance of one's own results, and close alignment with adjacent roles and interfaces. moreManage documents, emails and appointments with Microsoft Office. In practice this covers independent execution, quality assurance of one's own results, and close alignment with adjacent roles and interfaces.

Build data models, DAX and dashboards in Power BI. In practice this covers independent execution, quality assurance of one's own results, and close alignment with adjacent roles and interfaces.Build data models, DAX and dashboards in Power BI. In practice this covers independent execution, quality assurance of one's own results, and close alignment with adjacent roles and interfaces.Build data models, DAX and dashboards in Power BI. In practice this covers independent execution, quality assurance of one's own results, and close alignment with adjacent roles and interfaces. moreBuild data models, DAX and dashboards in Power BI. In practice this covers independent execution, quality assurance of one's own results, and close alignment with adjacent roles and interfaces.

Structure, visualise and deliver presentations to audiences. In practice this covers independent execution, quality assurance of one's own results, and close alignment with adjacent roles and interfaces.Structure, visualise and deliver presentations to audiences. In practice this covers independent execution, quality assurance of one's own results, and close alignment with adjacent roles and interfaces.Structure, visualise and deliver presentations to audiences. In practice this covers independent execution, quality assurance of one's own results, and close alignment with adjacent roles and interfaces. moreStructure, visualise and deliver presentations to audiences. In practice this covers independent execution, quality assurance of one's own results, and close alignment with adjacent roles and interfaces.

Perform statistical analyses with SPSS or R. Covers confident day-to-day use: data maintenance and quality, configuration of processes and workflows, analyses and reports, and onboarding of new users.Perform statistical analyses with SPSS or R. Covers confident day-to-day use: data maintenance and quality, configuration of processes and workflows, analyses and reports, and onboarding of new users.Perform statistical analyses with SPSS or R. Covers confident day-to-day use: data maintenance and quality, configuration of processes and workflows, analyses and reports, and onboarding of new users. morePerform statistical analyses with SPSS or R. Covers confident day-to-day use: data maintenance and quality, configuration of processes and workflows, analyses and reports, and onboarding of new users.