Microsoft Power BI: From Data to Interactive Dashboards

Requires producing practical outputs such as queries, dashboards, reports, charts, data models, formulas, notebooks, cleaned datasets, transformation steps, or executive recommendations. Key source references: 5 أيام, 25 ساعة, 3 أيام.

Covers Power BI Desktop, Power Query, data models, DAX, visualizations, Power BI Service, dashboards, sharing, and scheduled refresh. Covers cloud publishing, workspaces, dashboards, datasets, apps, permissions, scheduled refresh, and sharing controls. Key source references: Power BI, Power Platform.

Covers Power BI Desktop, Power Query, data models, DAX, visualizations, Power BI Service, dashboards, sharing, and scheduled refresh. Covers ETL workflows, data import, type conversion, merging, appending, unpivoting, conditional columns, missing values, and repeatable transformations. Covers report structure, findings, recommendations, executive communication, and actionable insight delivery. Develops business communication skills through concise reports, insight summaries, visual explanations, recommendations, and final presentations for decision makers. Key source references: Power BI, Power Query.

Covers Azure AD identity, users, groups, licensing, MFA, conditional access, device management, and cloud security controls. Covers SharePoint sites, libraries, permissions, pages, document management, and collaboration governance. Covers Excel tables, formulas, Power Query, PivotTables, PivotCharts, Power Pivot, statistics, what-if analysis, and dashboards. Covers relational database querying, SELECT, filtering, sorting, joins, aggregation, subqueries, CTEs, and analytical extraction. Includes identification, extraction, analysis, classification, measurement, profiling, comparison, prioritization, and interpretation of data, risks, quality issues, results, and business opportunities. Requires producing practical outputs such as queries, dashboards, reports, charts, data models, formulas, notebooks, cleaned datasets, transformation steps, or executive recommendations. Key source references: 1, Excel, 2, CSV, 3, SQL, 4, 5, SharePoint, Azure, Google Analytics, Salesforce.

Covers ETL workflows, data import, type conversion, merging, appending, unpivoting, conditional columns, missing values, and repeatable transformations. Key source references: Power Query, 1, 2, 3, 0, 4, 5, 6.

Practical application: participants work individually or in small teams on realistic datasets, business scenarios, cloud environments, dashboards, database queries, notebooks, visualization files, or analytics projects using structured templates and guided steps. Covers Power BI Desktop, Power Query, data models, DAX, visualizations, Power BI Service, dashboards, sharing, and scheduled refresh. Covers Excel tables, formulas, Power Query, PivotTables, PivotCharts, Power Pivot, statistics, what-if analysis, and dashboards. Covers relational database querying, SELECT, filtering, sorting, joins, aggregation, subqueries, CTEs, and analytical extraction. Covers data profiling, duplicates, missing values, inconsistent formats, outliers, data types, validation, and quality checks. Covers missing-value diagnosis, deletion, imputation, flagging, and impact assessment. Key source references: Excel, CSV, SQL, 1, Power BI, 2, 0, 3, 4, 5.

Covers PivotTables, PivotCharts, summarization, slicing, grouping, calculated fields, and interactive analysis. Covers relational database querying, SELECT, filtering, sorting, joins, aggregation, subqueries, CTEs, and analytical extraction. Covers missing-value diagnosis, deletion, imputation, flagging, and impact assessment. Covers mean, median, mode, variance, standard deviation, and interpretation of distributions. Includes identification, extraction, analysis, classification, measurement, profiling, comparison, prioritization, and interpretation of data, risks, quality issues, results, and business opportunities. Requires producing practical outputs such as queries, dashboards, reports, charts, data models, formulas, notebooks, cleaned datasets, transformation steps, or executive recommendations. Develops business communication skills through concise reports, insight summaries, visual explanations, recommendations, and final presentations for decision makers. Key source references: 1, 2, SQL, 3, 4, 5.

Includes calculations, formulas, measures, indicators, queries, scoring, statistical results, comparison metrics, and interpretation of numerical outputs based on the source activity. Key source references: 1, 2, 3.

Includes identification, extraction, analysis, classification, measurement, profiling, comparison, prioritization, and interpretation of data, risks, quality issues, results, and business opportunities. Requires producing practical outputs such as queries, dashboards, reports, charts, data models, formulas, notebooks, cleaned datasets, transformation steps, or executive recommendations. Develops business communication skills through concise reports, insight summaries, visual explanations, recommendations, and final presentations for decision makers. Key source references: 1, 2, 3, 4, 5.

Covers ETL workflows, data import, type conversion, merging, appending, unpivoting, conditional columns, missing values, and repeatable transformations. Covers measures, calculated columns, filter context, row context, CALCULATE, FILTER, ALL, RELATED, and time-intelligence calculations. Includes identification, extraction, analysis, classification, measurement, profiling, comparison, prioritization, and interpretation of data, risks, quality issues, results, and business opportunities. Requires producing practical outputs such as queries, dashboards, reports, charts, data models, formulas, notebooks, cleaned datasets, transformation steps, or executive recommendations. Key source references: 1, DAX, 2, Power Query.

Practical application: participants work individually or in small teams on realistic datasets, business scenarios, cloud environments, dashboards, database queries, notebooks, visualization files, or analytics projects using structured templates and guided steps. Covers data profiling, duplicates, missing values, inconsistent formats, outliers, data types, validation, and quality checks. Requires producing practical outputs such as queries, dashboards, reports, charts, data models, formulas, notebooks, cleaned datasets, transformation steps, or executive recommendations. Key source references: 1, 2, 3, 4.

Covers measures, calculated columns, filter context, row context, CALCULATE, FILTER, ALL, RELATED, and time-intelligence calculations. Covers report structure, findings, recommendations, executive communication, and actionable insight delivery. Includes calculations, formulas, measures, indicators, queries, scoring, statistical results, comparison metrics, and interpretation of numerical outputs based on the source activity. Includes identification, extraction, analysis, classification, measurement, profiling, comparison, prioritization, and interpretation of data, risks, quality issues, results, and business opportunities. Requires producing practical outputs such as queries, dashboards, reports, charts, data models, formulas, notebooks, cleaned datasets, transformation steps, or executive recommendations. Develops business communication skills through concise reports, insight summaries, visual explanations, recommendations, and final presentations for decision makers. Key source references: DAX.

Includes calculations, formulas, measures, indicators, queries, scoring, statistical results, comparison metrics, and interpretation of numerical outputs based on the source activity. Key source references: 1, 2, CALCULATE, FILTER, ALL, 3, 4, 5.

Includes calculations, formulas, measures, indicators, queries, scoring, statistical results, comparison metrics, and interpretation of numerical outputs based on the source activity. Key source references: CALCULATE, 1, 2, 3, ALL, 4, FILTER.

Includes calculations, formulas, measures, indicators, queries, scoring, statistical results, comparison metrics, and interpretation of numerical outputs based on the source activity. Key source references: 1, TOTALYTD, 2, 3, 4, SAMEPERIODLASTYEAR, 5, DATEADD, 6, ALL, 7.

Covers the topic through structured explanations, applied examples, datasets, tool demonstrations, analytical exercises, and practical outputs aligned with data-analysis and business-intelligence work. Key source references: 1, RELATED, 2.

Practical application: participants work individually or in small teams on realistic datasets, business scenarios, cloud environments, dashboards, database queries, notebooks, visualization files, or analytics projects using structured templates and guided steps. Covers assessment, quizzes, simulation tests, exam-readiness checks, and review of core concepts. Includes calculations, formulas, measures, indicators, queries, scoring, statistical results, comparison metrics, and interpretation of numerical outputs based on the source activity. Requires producing practical outputs such as queries, dashboards, reports, charts, data models, formulas, notebooks, cleaned datasets, transformation steps, or executive recommendations. Key source references: 1, 2, 3, 4, CALCULATE, SAMEPERIODLASTYEAR, 5, 6, FILTER, 7.

Includes calculations, formulas, measures, indicators, queries, scoring, statistical results, comparison metrics, and interpretation of numerical outputs based on the source activity. Develops business communication skills through concise reports, insight summaries, visual explanations, recommendations, and final presentations for decision makers. Key source references: 1, 100%, 2, 3, 4, 5, 6, 7, 8, 9, 10.

Develops business communication skills through concise reports, insight summaries, visual explanations, recommendations, and final presentations for decision makers. Key source references: 1, 2, 3, 4, 5, 6.

Covers report structure, findings, recommendations, executive communication, and actionable insight delivery. Includes identification, extraction, analysis, classification, measurement, profiling, comparison, prioritization, and interpretation of data, risks, quality issues, results, and business opportunities. Requires producing practical outputs such as queries, dashboards, reports, charts, data models, formulas, notebooks, cleaned datasets, transformation steps, or executive recommendations. Develops business communication skills through concise reports, insight summaries, visual explanations, recommendations, and final presentations for decision makers. Key source references: 1, 2, 3, 4, 5, 6.

Covers report structure, findings, recommendations, executive communication, and actionable insight delivery. Develops business communication skills through concise reports, insight summaries, visual explanations, recommendations, and final presentations for decision makers. Key source references: 1, 2, 3, 4, 5, 6, 7.

Practical application: participants work individually or in small teams on realistic datasets, business scenarios, cloud environments, dashboards, database queries, notebooks, visualization files, or analytics projects using structured templates and guided steps. Covers mean, median, mode, variance, standard deviation, and interpretation of distributions. Covers report structure, findings, recommendations, executive communication, and actionable insight delivery. Includes identification, extraction, analysis, classification, measurement, profiling, comparison, prioritization, and interpretation of data, risks, quality issues, results, and business opportunities. Requires producing practical outputs such as queries, dashboards, reports, charts, data models, formulas, notebooks, cleaned datasets, transformation steps, or executive recommendations. Develops business communication skills through concise reports, insight summaries, visual explanations, recommendations, and final presentations for decision makers. Key source references: 3, 1, 10, 2, 4.

Covers Power BI Desktop, Power Query, data models, DAX, visualizations, Power BI Service, dashboards, sharing, and scheduled refresh. Covers dashboard design principles, executive KPIs, interactive filters, navigation, visual storytelling, and publishing. Covers cloud publishing, workspaces, dashboards, datasets, apps, permissions, scheduled refresh, and sharing controls. Key source references: Power BI, Dashboard.

Covers Power BI Desktop, Power Query, data models, DAX, visualizations, Power BI Service, dashboards, sharing, and scheduled refresh. Covers report structure, findings, recommendations, executive communication, and actionable insight delivery. Includes calculations, formulas, measures, indicators, queries, scoring, statistical results, comparison metrics, and interpretation of numerical outputs based on the source activity. Develops business communication skills through concise reports, insight summaries, visual explanations, recommendations, and final presentations for decision makers. Key source references: 1, Power BI, 2, 3, 4.

Covers dashboard design principles, executive KPIs, interactive filters, navigation, visual storytelling, and publishing. Covers report structure, findings, recommendations, executive communication, and actionable insight delivery. Develops business communication skills through concise reports, insight summaries, visual explanations, recommendations, and final presentations for decision makers. Key source references: Dashboard, 1, 2, 3, 4, 5.

Covers SharePoint sites, libraries, permissions, pages, document management, and collaboration governance. Covers Excel tables, formulas, Power Query, PivotTables, PivotCharts, Power Pivot, statistics, what-if analysis, and dashboards. Covers relational database querying, SELECT, filtering, sorting, joins, aggregation, subqueries, CTEs, and analytical extraction. Covers duplicate detection, duplicate removal, record matching, and validation of unique keys. Includes identification, extraction, analysis, classification, measurement, profiling, comparison, prioritization, and interpretation of data, risks, quality issues, results, and business opportunities. Requires producing practical outputs such as queries, dashboards, reports, charts, data models, formulas, notebooks, cleaned datasets, transformation steps, or executive recommendations. Key source references: SQL, Excel, OneDrive, SharePoint, 1, 2, 3, 4, 5, 6.

Covers Azure AD identity, users, groups, licensing, MFA, conditional access, device management, and cloud security controls. Covers report structure, findings, recommendations, executive communication, and actionable insight delivery. Requires producing practical outputs such as queries, dashboards, reports, charts, data models, formulas, notebooks, cleaned datasets, transformation steps, or executive recommendations. Develops business communication skills through concise reports, insight summaries, visual explanations, recommendations, and final presentations for decision makers. Key source references: 1, 2, 3, 4, Azure, 5.

Covers report structure, findings, recommendations, executive communication, and actionable insight delivery. Includes identification, extraction, analysis, classification, measurement, profiling, comparison, prioritization, and interpretation of data, risks, quality issues, results, and business opportunities. Requires producing practical outputs such as queries, dashboards, reports, charts, data models, formulas, notebooks, cleaned datasets, transformation steps, or executive recommendations. Develops business communication skills through concise reports, insight summaries, visual explanations, recommendations, and final presentations for decision makers. Key source references: 1, 2, 3, 4, RLS.

Practical application: participants work individually or in small teams on realistic datasets, business scenarios, cloud environments, dashboards, database queries, notebooks, visualization files, or analytics projects using structured templates and guided steps. Covers Power BI Desktop, Power Query, data models, DAX, visualizations, Power BI Service, dashboards, sharing, and scheduled refresh. Covers ETL workflows, data import, type conversion, merging, appending, unpivoting, conditional columns, missing values, and repeatable transformations. Covers measures, calculated columns, filter context, row context, CALCULATE, FILTER, ALL, RELATED, and time-intelligence calculations. Covers cloud publishing, workspaces, dashboards, datasets, apps, permissions, scheduled refresh, and sharing controls. Covers data profiling, duplicates, missing values, inconsistent formats, outliers, data types, validation, and quality checks. Covers missing-value diagnosis, deletion, imputation, flagging, and impact assessment. Covers mean, median, mode, variance, standard deviation, and interpretation of distributions. Covers report structure, findings, recommendations, executive communication, and actionable insight delivery. Includes identification, extraction, analysis, classification, measurement, profiling, comparison, prioritization, and interpretation of data, risks, quality issues, results, and business opportunities. Requires producing practical outputs such as queries, dashboards, reports, charts, data models, formulas, notebooks, cleaned datasets, transformation steps, or executive recommendations. Develops business communication skills through concise reports, insight summaries, visual explanations, recommendations, and final presentations for decision makers. Key source references: 1, 4 ملفات, CSV, 2, Power Query, 3, 4, 5, DAX, 6, 7, Power BI, 8, 5 دقائق.

Covers ETL workflows, data import, type conversion, merging, appending, unpivoting, conditional columns, missing values, and repeatable transformations. Covers measures, calculated columns, filter context, row context, CALCULATE, FILTER, ALL, RELATED, and time-intelligence calculations. Key source references: Power Query, DAX.