Microsoft Power BI Data Analyst Certification Guide: A Comprehensive Guide to Becoming a Confident and Certified Power BI Professional
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham
Packt Publishing, Limited
2022
|
| Ausgabe: | 1st ed |
| Schlagworte: | |
| Online-Zugang: | DE-2070s |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Beschreibung: | 1 Online-Ressource (399 Seiten) |
| ISBN: | 9781803241326 |
Internformat
MARC
| LEADER | 00000nmm a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV049876058 | ||
| 003 | DE-604 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 240919s2022 |||| o||u| ||||||eng d | ||
| 020 | |a 9781803241326 |9 978-1-80324-132-6 | ||
| 035 | |a (ZDB-30-PQE)EBC7002529 | ||
| 035 | |a (ZDB-30-PAD)EBC7002529 | ||
| 035 | |a (ZDB-89-EBL)EBL7002529 | ||
| 035 | |a (OCoLC)1323254027 | ||
| 035 | |a (DE-599)BVBBV049876058 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-2070s | ||
| 082 | 0 | |a 005.369 | |
| 100 | 1 | |a Edenfield, Orrin |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Microsoft Power BI Data Analyst Certification Guide |b A Comprehensive Guide to Becoming a Confident and Certified Power BI Professional |
| 250 | |a 1st ed | ||
| 264 | 1 | |a Birmingham |b Packt Publishing, Limited |c 2022 | |
| 264 | 4 | |c ©2022 | |
| 300 | |a 1 Online-Ressource (399 Seiten) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 500 | |a Description based on publisher supplied metadata and other sources | ||
| 505 | 8 | |a Cover -- Title -- Copyright and Credits -- Table of Contents -- Part 1 - Preparing the Data -- Chapter 1: Overview of Power BI and the PL-300 Exam -- A brief overview of Power BI -- Power BI for business intelligence -- Power BI as a solution -- Why get certified? -- PL-300 Analyzing Data with Microsoft Power BI -- Microsoft tests -- Timelines -- Strategies to get a passing grade -- Summary -- Questions -- Chapter 2: Connecting to Data Sources -- Technical requirements -- Identifying data sources -- Local data sources, files, and databases -- Cloud and SaaS data sources -- Connecting to data sources -- On-premises data gateway -- Exploring query types -- Power BI datasets -- Power BI dataflows -- Query performance tuning -- Reducing the data size -- DirectQuery optimization -- Composite model optimization -- Advanced options (what-if parameters, Power Query parameters, PBIDS files, and XMLA endpoints) -- What-if parameters -- Power Query parameters -- PBIDS files -- XMLA endpoints -- Summary -- Questions -- Chapter 3: Profiling the Data -- Technical requirements -- Identifying data anomalies -- Interrogating column properties -- Examining data structures -- Interrogating data statistics -- Column distribution -- Column profile -- Summary -- Questions -- Chapter 4: Cleansing, Transforming, and Shaping Data -- Technical requirements -- Accessing Power Query in Power BI -- Sorting and filtering -- Managing columns -- Using column transformations -- Transforming any data type columns -- Transforming text columns -- Transforming number columns -- Transforming date and time columns -- Adding columns -- Using row transformations -- Combining data -- Using merge queries -- Append queries -- Combine files -- Enriching data with AI -- Language detection -- Key phrase extraction -- Sentiment analysis -- Image tagging -- Azure ML. | |
| 505 | 8 | |a Using advanced operations of Power Query -- Using the Advanced Editor -- Using the Query Dependencies tool -- R and Python scripts -- Summary -- Questions -- Part 2 - Modeling the Data -- Chapter 5: Designing a Data Model -- Technical requirements -- Define the tables -- Flatten out a parent-child hierarchy -- Star schema -- Defining relationships -- Cardinality -- Cross-filter direction -- Relationship test tips -- Define role-playing dimensions -- Date table as a role-playing dimension -- Configure table and column properties -- The General section -- The Formatting section -- The Advanced section -- Define quick measures -- Resolve many-to-many relationships -- Create a common date table -- Power BI date hierarchy tables -- Using your own date table -- Date math -- Model size -- Role-playing with our date table -- Define the appropriate level of data granularity -- Design the data model to meet performance requirements -- Summary -- Questions -- Chapter 6: Using Data Model Advanced Features -- Technical requirements -- Using sensitivity labels -- Implementing row-level security -- Setting up row-level security -- Managing row-level security -- Applying natural-language Q& -- A capability -- Using Q& -- A in reports and dashboards -- Q& -- A linguistic models -- Optimizing Q& -- A in data models -- Summary -- Questions -- Chapter 7: Creating Measures Using DAX -- Technical requirements -- Building complex measures with DAX -- Quick measures -- Creating your own measure -- Measures versus calculated columns -- Default summarization -- Context is everything! -- Using CALCULATE to manipulate filters -- Simple filtering -- The FILTER function -- The ALL function -- Implementing time intelligence using DAX -- Date tables -- Role-playing dimensions -- Replacing numeric calculated columns with measures -- The X functions | |
| 505 | 8 | |a When to use calculated columns -- When to use measures -- Using basic statistical functions to enhance data -- Changing the default summarization -- Binning and grouping histograms -- Implementing top N analysis -- Ranking function -- Top N functions -- Creating semi-additive measures -- Additive measures -- Non-additive measures -- Semi-additive measures -- Summary -- Questions -- Chapter 8: Optimizing Model Performance -- Technical requirements -- Optimizing data in the model -- Removing unnecessary rows and columns -- Splitting numeric and text column data -- Optimizing measures, relationships, and visuals -- Optimizing relationships -- Optimizing visuals -- Optimizing with aggregations -- Query diagnostics -- Session diagnostics -- Step diagnostics -- Understanding query diagnostics -- Summary -- Questions -- Part 3 - Visualizing the Data -- Chapter 9: Creating Reports -- Technical requirements -- Understanding the capabilities of Power BI -- Adding visualization items to reports -- Choosing an appropriate visualization type -- Table and matrix visualizations -- Bar and column charts -- Line and area charts -- Pie chart, donut chart, and treemaps -- Combination charts -- Card visualization -- Funnel visualization -- Gauge chart -- Waterfall chart -- Scatter chart -- Map visuals -- Q& -- A visualization -- Formatting and configuring visualizations -- Formatting options for a visualization -- Importing a custom visual -- Configuring conditional formatting -- Configuring small multiples -- Applying slicing and filtering -- Adding an R or Python visual -- Adding a smart narrative visual -- Configuring the report page -- Designing and configuring for accessibility -- Report accessibility checklist -- Configuring automatic page refresh -- Creating a paginated report -- Using Power BI datasets in Excel PivotTables -- Summary -- Questions | |
| 505 | 8 | |a Chapter 10: Creating Dashboards -- Technical requirements -- Introducing Power BI dashboards -- Creating a dashboard -- Setting a dashboard theme -- Using a dashboard -- Pinning tiles -- Optimizing dashboards -- Configuring views of a dashboard -- Optimizing the performance of a dashboard -- Summary -- Questions -- Chapter 11: Enhancing Reports -- Technical requirements -- Using bookmarks -- Using the selection pane -- Creating custom tooltips -- Interactions between visuals -- Configuring navigation for a report -- Applying sorting -- Sync slicers -- Using drillthrough and cross-filter -- Drilling down into data using interactive visuals -- Exporting report data -- Designing reports for mobile devices -- Summary -- Questions -- Part 4 - Analyzing the Data -- Chapter 12: Exposing Insights from Data -- Technical requirements -- Exploring slicers and filters -- The Analytics pane -- Summary -- Questions -- Chapter 13: Performing Advanced Analysis -- Technical requirements -- Identifying outliers -- Using anomaly detection -- Conducting time series analysis -- Grouping and binning -- Grouping -- Binning -- Key influencers -- Decomposition tree visual -- Applying AI insights -- Summary -- Questions -- Part 5 - Deploying and Maintaining Deliverables -- Chapter 14: Managing Workspaces -- Technical requirements -- Using workspaces -- Using workspace roles -- Workspace licensing -- Distributing reports and dashboards -- Creating a Power BI app -- Using deployment pipelines -- Creating a deployment pipeline -- Unassigning a workspace to a deployment pipeline stage -- Automating deployment pipelines -- Monitoring workspace usage -- Using usage reports -- Summary -- Questions -- Chapter 15: Managing Datasets -- Technical requirements -- Configuring a dataset scheduled refresh -- Identifying when a gateway is required | |
| 505 | 8 | |a Configuring row-level security group membership -- Providing access to datasets -- Summary -- Questions -- Part 6 - Practice Exams -- Chapter 16: Practice Exams -- Practice test 1 -- Practice Test 2 -- Answer keys -- Practice Test 1 -- Practice Test 2 -- Appendix: Practice Question Answers -- Chapter 1, Overview of Power BI and the PL-300 Exam -- Chapter 2, Connecting to Data Sources -- Chapter 3, Profiling the Data -- Chapter 4, Cleansing, Transforming, and Shaping Data -- Chapter 5, Designing a Data Model -- Chapter 6, Using Data Model Advanced Features -- Chapter 7, Creating Measures Using DAX -- Chapter 8, Optimizing Model Performance -- Chapter 9, Creating Reports -- Chapter 10, Creating Dashboards -- Chapter 11, Enhancing Reports -- Chapter 12, Exposing Insights from Data -- Chapter 13, Performing Advanced Analytics -- Chapter 14, Managing Workspaces -- Chapter 15, Managing Datasets -- Index | |
| 650 | 4 | |a Microsoft Power BI (Computer file) | |
| 700 | 1 | |a Corcoran, Edward |e Sonstige |4 oth | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |a Edenfield, Orrin |t Microsoft Power BI Data Analyst Certification Guide |d Birmingham : Packt Publishing, Limited,c2022 |
| 912 | |a ZDB-30-PQE | ||
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-035215508 | |
| 966 | e | |u https://ebookcentral.proquest.com/lib/hwr/detail.action?docID=7002529 |l DE-2070s |p ZDB-30-PQE |q HWR_PDA_PQE |x Aggregator |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1810687471150694400 |
|---|---|
| adam_text | |
| any_adam_object | |
| author | Edenfield, Orrin |
| author_facet | Edenfield, Orrin |
| author_role | aut |
| author_sort | Edenfield, Orrin |
| author_variant | o e oe |
| building | Verbundindex |
| bvnumber | BV049876058 |
| collection | ZDB-30-PQE |
| contents | Cover -- Title -- Copyright and Credits -- Table of Contents -- Part 1 - Preparing the Data -- Chapter 1: Overview of Power BI and the PL-300 Exam -- A brief overview of Power BI -- Power BI for business intelligence -- Power BI as a solution -- Why get certified? -- PL-300 Analyzing Data with Microsoft Power BI -- Microsoft tests -- Timelines -- Strategies to get a passing grade -- Summary -- Questions -- Chapter 2: Connecting to Data Sources -- Technical requirements -- Identifying data sources -- Local data sources, files, and databases -- Cloud and SaaS data sources -- Connecting to data sources -- On-premises data gateway -- Exploring query types -- Power BI datasets -- Power BI dataflows -- Query performance tuning -- Reducing the data size -- DirectQuery optimization -- Composite model optimization -- Advanced options (what-if parameters, Power Query parameters, PBIDS files, and XMLA endpoints) -- What-if parameters -- Power Query parameters -- PBIDS files -- XMLA endpoints -- Summary -- Questions -- Chapter 3: Profiling the Data -- Technical requirements -- Identifying data anomalies -- Interrogating column properties -- Examining data structures -- Interrogating data statistics -- Column distribution -- Column profile -- Summary -- Questions -- Chapter 4: Cleansing, Transforming, and Shaping Data -- Technical requirements -- Accessing Power Query in Power BI -- Sorting and filtering -- Managing columns -- Using column transformations -- Transforming any data type columns -- Transforming text columns -- Transforming number columns -- Transforming date and time columns -- Adding columns -- Using row transformations -- Combining data -- Using merge queries -- Append queries -- Combine files -- Enriching data with AI -- Language detection -- Key phrase extraction -- Sentiment analysis -- Image tagging -- Azure ML. Using advanced operations of Power Query -- Using the Advanced Editor -- Using the Query Dependencies tool -- R and Python scripts -- Summary -- Questions -- Part 2 - Modeling the Data -- Chapter 5: Designing a Data Model -- Technical requirements -- Define the tables -- Flatten out a parent-child hierarchy -- Star schema -- Defining relationships -- Cardinality -- Cross-filter direction -- Relationship test tips -- Define role-playing dimensions -- Date table as a role-playing dimension -- Configure table and column properties -- The General section -- The Formatting section -- The Advanced section -- Define quick measures -- Resolve many-to-many relationships -- Create a common date table -- Power BI date hierarchy tables -- Using your own date table -- Date math -- Model size -- Role-playing with our date table -- Define the appropriate level of data granularity -- Design the data model to meet performance requirements -- Summary -- Questions -- Chapter 6: Using Data Model Advanced Features -- Technical requirements -- Using sensitivity labels -- Implementing row-level security -- Setting up row-level security -- Managing row-level security -- Applying natural-language Q& -- A capability -- Using Q& -- A in reports and dashboards -- Q& -- A linguistic models -- Optimizing Q& -- A in data models -- Summary -- Questions -- Chapter 7: Creating Measures Using DAX -- Technical requirements -- Building complex measures with DAX -- Quick measures -- Creating your own measure -- Measures versus calculated columns -- Default summarization -- Context is everything! -- Using CALCULATE to manipulate filters -- Simple filtering -- The FILTER function -- The ALL function -- Implementing time intelligence using DAX -- Date tables -- Role-playing dimensions -- Replacing numeric calculated columns with measures -- The X functions When to use calculated columns -- When to use measures -- Using basic statistical functions to enhance data -- Changing the default summarization -- Binning and grouping histograms -- Implementing top N analysis -- Ranking function -- Top N functions -- Creating semi-additive measures -- Additive measures -- Non-additive measures -- Semi-additive measures -- Summary -- Questions -- Chapter 8: Optimizing Model Performance -- Technical requirements -- Optimizing data in the model -- Removing unnecessary rows and columns -- Splitting numeric and text column data -- Optimizing measures, relationships, and visuals -- Optimizing relationships -- Optimizing visuals -- Optimizing with aggregations -- Query diagnostics -- Session diagnostics -- Step diagnostics -- Understanding query diagnostics -- Summary -- Questions -- Part 3 - Visualizing the Data -- Chapter 9: Creating Reports -- Technical requirements -- Understanding the capabilities of Power BI -- Adding visualization items to reports -- Choosing an appropriate visualization type -- Table and matrix visualizations -- Bar and column charts -- Line and area charts -- Pie chart, donut chart, and treemaps -- Combination charts -- Card visualization -- Funnel visualization -- Gauge chart -- Waterfall chart -- Scatter chart -- Map visuals -- Q& -- A visualization -- Formatting and configuring visualizations -- Formatting options for a visualization -- Importing a custom visual -- Configuring conditional formatting -- Configuring small multiples -- Applying slicing and filtering -- Adding an R or Python visual -- Adding a smart narrative visual -- Configuring the report page -- Designing and configuring for accessibility -- Report accessibility checklist -- Configuring automatic page refresh -- Creating a paginated report -- Using Power BI datasets in Excel PivotTables -- Summary -- Questions Chapter 10: Creating Dashboards -- Technical requirements -- Introducing Power BI dashboards -- Creating a dashboard -- Setting a dashboard theme -- Using a dashboard -- Pinning tiles -- Optimizing dashboards -- Configuring views of a dashboard -- Optimizing the performance of a dashboard -- Summary -- Questions -- Chapter 11: Enhancing Reports -- Technical requirements -- Using bookmarks -- Using the selection pane -- Creating custom tooltips -- Interactions between visuals -- Configuring navigation for a report -- Applying sorting -- Sync slicers -- Using drillthrough and cross-filter -- Drilling down into data using interactive visuals -- Exporting report data -- Designing reports for mobile devices -- Summary -- Questions -- Part 4 - Analyzing the Data -- Chapter 12: Exposing Insights from Data -- Technical requirements -- Exploring slicers and filters -- The Analytics pane -- Summary -- Questions -- Chapter 13: Performing Advanced Analysis -- Technical requirements -- Identifying outliers -- Using anomaly detection -- Conducting time series analysis -- Grouping and binning -- Grouping -- Binning -- Key influencers -- Decomposition tree visual -- Applying AI insights -- Summary -- Questions -- Part 5 - Deploying and Maintaining Deliverables -- Chapter 14: Managing Workspaces -- Technical requirements -- Using workspaces -- Using workspace roles -- Workspace licensing -- Distributing reports and dashboards -- Creating a Power BI app -- Using deployment pipelines -- Creating a deployment pipeline -- Unassigning a workspace to a deployment pipeline stage -- Automating deployment pipelines -- Monitoring workspace usage -- Using usage reports -- Summary -- Questions -- Chapter 15: Managing Datasets -- Technical requirements -- Configuring a dataset scheduled refresh -- Identifying when a gateway is required Configuring row-level security group membership -- Providing access to datasets -- Summary -- Questions -- Part 6 - Practice Exams -- Chapter 16: Practice Exams -- Practice test 1 -- Practice Test 2 -- Answer keys -- Practice Test 1 -- Practice Test 2 -- Appendix: Practice Question Answers -- Chapter 1, Overview of Power BI and the PL-300 Exam -- Chapter 2, Connecting to Data Sources -- Chapter 3, Profiling the Data -- Chapter 4, Cleansing, Transforming, and Shaping Data -- Chapter 5, Designing a Data Model -- Chapter 6, Using Data Model Advanced Features -- Chapter 7, Creating Measures Using DAX -- Chapter 8, Optimizing Model Performance -- Chapter 9, Creating Reports -- Chapter 10, Creating Dashboards -- Chapter 11, Enhancing Reports -- Chapter 12, Exposing Insights from Data -- Chapter 13, Performing Advanced Analytics -- Chapter 14, Managing Workspaces -- Chapter 15, Managing Datasets -- Index |
| ctrlnum | (ZDB-30-PQE)EBC7002529 (ZDB-30-PAD)EBC7002529 (ZDB-89-EBL)EBL7002529 (OCoLC)1323254027 (DE-599)BVBBV049876058 |
| dewey-full | 005.369 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.369 |
| dewey-search | 005.369 |
| dewey-sort | 15.369 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| edition | 1st ed |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nmm a2200000zc 4500</leader><controlfield tag="001">BV049876058</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">240919s2022 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781803241326</subfield><subfield code="9">978-1-80324-132-6</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-30-PQE)EBC7002529</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-30-PAD)EBC7002529</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-89-EBL)EBL7002529</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1323254027</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV049876058</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-2070s</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">005.369</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Edenfield, Orrin</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Microsoft Power BI Data Analyst Certification Guide</subfield><subfield code="b">A Comprehensive Guide to Becoming a Confident and Certified Power BI Professional</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">1st ed</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Birmingham</subfield><subfield code="b">Packt Publishing, Limited</subfield><subfield code="c">2022</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2022</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (399 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Description based on publisher supplied metadata and other sources</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Cover -- Title -- Copyright and Credits -- Table of Contents -- Part 1 - Preparing the Data -- Chapter 1: Overview of Power BI and the PL-300 Exam -- A brief overview of Power BI -- Power BI for business intelligence -- Power BI as a solution -- Why get certified? -- PL-300 Analyzing Data with Microsoft Power BI -- Microsoft tests -- Timelines -- Strategies to get a passing grade -- Summary -- Questions -- Chapter 2: Connecting to Data Sources -- Technical requirements -- Identifying data sources -- Local data sources, files, and databases -- Cloud and SaaS data sources -- Connecting to data sources -- On-premises data gateway -- Exploring query types -- Power BI datasets -- Power BI dataflows -- Query performance tuning -- Reducing the data size -- DirectQuery optimization -- Composite model optimization -- Advanced options (what-if parameters, Power Query parameters, PBIDS files, and XMLA endpoints) -- What-if parameters -- Power Query parameters -- PBIDS files -- XMLA endpoints -- Summary -- Questions -- Chapter 3: Profiling the Data -- Technical requirements -- Identifying data anomalies -- Interrogating column properties -- Examining data structures -- Interrogating data statistics -- Column distribution -- Column profile -- Summary -- Questions -- Chapter 4: Cleansing, Transforming, and Shaping Data -- Technical requirements -- Accessing Power Query in Power BI -- Sorting and filtering -- Managing columns -- Using column transformations -- Transforming any data type columns -- Transforming text columns -- Transforming number columns -- Transforming date and time columns -- Adding columns -- Using row transformations -- Combining data -- Using merge queries -- Append queries -- Combine files -- Enriching data with AI -- Language detection -- Key phrase extraction -- Sentiment analysis -- Image tagging -- Azure ML.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Using advanced operations of Power Query -- Using the Advanced Editor -- Using the Query Dependencies tool -- R and Python scripts -- Summary -- Questions -- Part 2 - Modeling the Data -- Chapter 5: Designing a Data Model -- Technical requirements -- Define the tables -- Flatten out a parent-child hierarchy -- Star schema -- Defining relationships -- Cardinality -- Cross-filter direction -- Relationship test tips -- Define role-playing dimensions -- Date table as a role-playing dimension -- Configure table and column properties -- The General section -- The Formatting section -- The Advanced section -- Define quick measures -- Resolve many-to-many relationships -- Create a common date table -- Power BI date hierarchy tables -- Using your own date table -- Date math -- Model size -- Role-playing with our date table -- Define the appropriate level of data granularity -- Design the data model to meet performance requirements -- Summary -- Questions -- Chapter 6: Using Data Model Advanced Features -- Technical requirements -- Using sensitivity labels -- Implementing row-level security -- Setting up row-level security -- Managing row-level security -- Applying natural-language Q&amp -- A capability -- Using Q&amp -- A in reports and dashboards -- Q&amp -- A linguistic models -- Optimizing Q&amp -- A in data models -- Summary -- Questions -- Chapter 7: Creating Measures Using DAX -- Technical requirements -- Building complex measures with DAX -- Quick measures -- Creating your own measure -- Measures versus calculated columns -- Default summarization -- Context is everything! -- Using CALCULATE to manipulate filters -- Simple filtering -- The FILTER function -- The ALL function -- Implementing time intelligence using DAX -- Date tables -- Role-playing dimensions -- Replacing numeric calculated columns with measures -- The X functions</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">When to use calculated columns -- When to use measures -- Using basic statistical functions to enhance data -- Changing the default summarization -- Binning and grouping histograms -- Implementing top N analysis -- Ranking function -- Top N functions -- Creating semi-additive measures -- Additive measures -- Non-additive measures -- Semi-additive measures -- Summary -- Questions -- Chapter 8: Optimizing Model Performance -- Technical requirements -- Optimizing data in the model -- Removing unnecessary rows and columns -- Splitting numeric and text column data -- Optimizing measures, relationships, and visuals -- Optimizing relationships -- Optimizing visuals -- Optimizing with aggregations -- Query diagnostics -- Session diagnostics -- Step diagnostics -- Understanding query diagnostics -- Summary -- Questions -- Part 3 - Visualizing the Data -- Chapter 9: Creating Reports -- Technical requirements -- Understanding the capabilities of Power BI -- Adding visualization items to reports -- Choosing an appropriate visualization type -- Table and matrix visualizations -- Bar and column charts -- Line and area charts -- Pie chart, donut chart, and treemaps -- Combination charts -- Card visualization -- Funnel visualization -- Gauge chart -- Waterfall chart -- Scatter chart -- Map visuals -- Q&amp -- A visualization -- Formatting and configuring visualizations -- Formatting options for a visualization -- Importing a custom visual -- Configuring conditional formatting -- Configuring small multiples -- Applying slicing and filtering -- Adding an R or Python visual -- Adding a smart narrative visual -- Configuring the report page -- Designing and configuring for accessibility -- Report accessibility checklist -- Configuring automatic page refresh -- Creating a paginated report -- Using Power BI datasets in Excel PivotTables -- Summary -- Questions</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Chapter 10: Creating Dashboards -- Technical requirements -- Introducing Power BI dashboards -- Creating a dashboard -- Setting a dashboard theme -- Using a dashboard -- Pinning tiles -- Optimizing dashboards -- Configuring views of a dashboard -- Optimizing the performance of a dashboard -- Summary -- Questions -- Chapter 11: Enhancing Reports -- Technical requirements -- Using bookmarks -- Using the selection pane -- Creating custom tooltips -- Interactions between visuals -- Configuring navigation for a report -- Applying sorting -- Sync slicers -- Using drillthrough and cross-filter -- Drilling down into data using interactive visuals -- Exporting report data -- Designing reports for mobile devices -- Summary -- Questions -- Part 4 - Analyzing the Data -- Chapter 12: Exposing Insights from Data -- Technical requirements -- Exploring slicers and filters -- The Analytics pane -- Summary -- Questions -- Chapter 13: Performing Advanced Analysis -- Technical requirements -- Identifying outliers -- Using anomaly detection -- Conducting time series analysis -- Grouping and binning -- Grouping -- Binning -- Key influencers -- Decomposition tree visual -- Applying AI insights -- Summary -- Questions -- Part 5 - Deploying and Maintaining Deliverables -- Chapter 14: Managing Workspaces -- Technical requirements -- Using workspaces -- Using workspace roles -- Workspace licensing -- Distributing reports and dashboards -- Creating a Power BI app -- Using deployment pipelines -- Creating a deployment pipeline -- Unassigning a workspace to a deployment pipeline stage -- Automating deployment pipelines -- Monitoring workspace usage -- Using usage reports -- Summary -- Questions -- Chapter 15: Managing Datasets -- Technical requirements -- Configuring a dataset scheduled refresh -- Identifying when a gateway is required</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Configuring row-level security group membership -- Providing access to datasets -- Summary -- Questions -- Part 6 - Practice Exams -- Chapter 16: Practice Exams -- Practice test 1 -- Practice Test 2 -- Answer keys -- Practice Test 1 -- Practice Test 2 -- Appendix: Practice Question Answers -- Chapter 1, Overview of Power BI and the PL-300 Exam -- Chapter 2, Connecting to Data Sources -- Chapter 3, Profiling the Data -- Chapter 4, Cleansing, Transforming, and Shaping Data -- Chapter 5, Designing a Data Model -- Chapter 6, Using Data Model Advanced Features -- Chapter 7, Creating Measures Using DAX -- Chapter 8, Optimizing Model Performance -- Chapter 9, Creating Reports -- Chapter 10, Creating Dashboards -- Chapter 11, Enhancing Reports -- Chapter 12, Exposing Insights from Data -- Chapter 13, Performing Advanced Analytics -- Chapter 14, Managing Workspaces -- Chapter 15, Managing Datasets -- Index</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Microsoft Power BI (Computer file)</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Corcoran, Edward</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="a">Edenfield, Orrin</subfield><subfield code="t">Microsoft Power BI Data Analyst Certification Guide</subfield><subfield code="d">Birmingham : Packt Publishing, Limited,c2022</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-PQE</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-035215508</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://ebookcentral.proquest.com/lib/hwr/detail.action?docID=7002529</subfield><subfield code="l">DE-2070s</subfield><subfield code="p">ZDB-30-PQE</subfield><subfield code="q">HWR_PDA_PQE</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV049876058 |
| illustrated | Not Illustrated |
| indexdate | 2024-09-20T04:22:16Z |
| institution | BVB |
| isbn | 9781803241326 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035215508 |
| oclc_num | 1323254027 |
| open_access_boolean | |
| owner | DE-2070s |
| owner_facet | DE-2070s |
| physical | 1 Online-Ressource (399 Seiten) |
| psigel | ZDB-30-PQE ZDB-30-PQE HWR_PDA_PQE |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | Packt Publishing, Limited |
| record_format | marc |
| spelling | Edenfield, Orrin Verfasser aut Microsoft Power BI Data Analyst Certification Guide A Comprehensive Guide to Becoming a Confident and Certified Power BI Professional 1st ed Birmingham Packt Publishing, Limited 2022 ©2022 1 Online-Ressource (399 Seiten) txt rdacontent c rdamedia cr rdacarrier Description based on publisher supplied metadata and other sources Cover -- Title -- Copyright and Credits -- Table of Contents -- Part 1 - Preparing the Data -- Chapter 1: Overview of Power BI and the PL-300 Exam -- A brief overview of Power BI -- Power BI for business intelligence -- Power BI as a solution -- Why get certified? -- PL-300 Analyzing Data with Microsoft Power BI -- Microsoft tests -- Timelines -- Strategies to get a passing grade -- Summary -- Questions -- Chapter 2: Connecting to Data Sources -- Technical requirements -- Identifying data sources -- Local data sources, files, and databases -- Cloud and SaaS data sources -- Connecting to data sources -- On-premises data gateway -- Exploring query types -- Power BI datasets -- Power BI dataflows -- Query performance tuning -- Reducing the data size -- DirectQuery optimization -- Composite model optimization -- Advanced options (what-if parameters, Power Query parameters, PBIDS files, and XMLA endpoints) -- What-if parameters -- Power Query parameters -- PBIDS files -- XMLA endpoints -- Summary -- Questions -- Chapter 3: Profiling the Data -- Technical requirements -- Identifying data anomalies -- Interrogating column properties -- Examining data structures -- Interrogating data statistics -- Column distribution -- Column profile -- Summary -- Questions -- Chapter 4: Cleansing, Transforming, and Shaping Data -- Technical requirements -- Accessing Power Query in Power BI -- Sorting and filtering -- Managing columns -- Using column transformations -- Transforming any data type columns -- Transforming text columns -- Transforming number columns -- Transforming date and time columns -- Adding columns -- Using row transformations -- Combining data -- Using merge queries -- Append queries -- Combine files -- Enriching data with AI -- Language detection -- Key phrase extraction -- Sentiment analysis -- Image tagging -- Azure ML. Using advanced operations of Power Query -- Using the Advanced Editor -- Using the Query Dependencies tool -- R and Python scripts -- Summary -- Questions -- Part 2 - Modeling the Data -- Chapter 5: Designing a Data Model -- Technical requirements -- Define the tables -- Flatten out a parent-child hierarchy -- Star schema -- Defining relationships -- Cardinality -- Cross-filter direction -- Relationship test tips -- Define role-playing dimensions -- Date table as a role-playing dimension -- Configure table and column properties -- The General section -- The Formatting section -- The Advanced section -- Define quick measures -- Resolve many-to-many relationships -- Create a common date table -- Power BI date hierarchy tables -- Using your own date table -- Date math -- Model size -- Role-playing with our date table -- Define the appropriate level of data granularity -- Design the data model to meet performance requirements -- Summary -- Questions -- Chapter 6: Using Data Model Advanced Features -- Technical requirements -- Using sensitivity labels -- Implementing row-level security -- Setting up row-level security -- Managing row-level security -- Applying natural-language Q& -- A capability -- Using Q& -- A in reports and dashboards -- Q& -- A linguistic models -- Optimizing Q& -- A in data models -- Summary -- Questions -- Chapter 7: Creating Measures Using DAX -- Technical requirements -- Building complex measures with DAX -- Quick measures -- Creating your own measure -- Measures versus calculated columns -- Default summarization -- Context is everything! -- Using CALCULATE to manipulate filters -- Simple filtering -- The FILTER function -- The ALL function -- Implementing time intelligence using DAX -- Date tables -- Role-playing dimensions -- Replacing numeric calculated columns with measures -- The X functions When to use calculated columns -- When to use measures -- Using basic statistical functions to enhance data -- Changing the default summarization -- Binning and grouping histograms -- Implementing top N analysis -- Ranking function -- Top N functions -- Creating semi-additive measures -- Additive measures -- Non-additive measures -- Semi-additive measures -- Summary -- Questions -- Chapter 8: Optimizing Model Performance -- Technical requirements -- Optimizing data in the model -- Removing unnecessary rows and columns -- Splitting numeric and text column data -- Optimizing measures, relationships, and visuals -- Optimizing relationships -- Optimizing visuals -- Optimizing with aggregations -- Query diagnostics -- Session diagnostics -- Step diagnostics -- Understanding query diagnostics -- Summary -- Questions -- Part 3 - Visualizing the Data -- Chapter 9: Creating Reports -- Technical requirements -- Understanding the capabilities of Power BI -- Adding visualization items to reports -- Choosing an appropriate visualization type -- Table and matrix visualizations -- Bar and column charts -- Line and area charts -- Pie chart, donut chart, and treemaps -- Combination charts -- Card visualization -- Funnel visualization -- Gauge chart -- Waterfall chart -- Scatter chart -- Map visuals -- Q& -- A visualization -- Formatting and configuring visualizations -- Formatting options for a visualization -- Importing a custom visual -- Configuring conditional formatting -- Configuring small multiples -- Applying slicing and filtering -- Adding an R or Python visual -- Adding a smart narrative visual -- Configuring the report page -- Designing and configuring for accessibility -- Report accessibility checklist -- Configuring automatic page refresh -- Creating a paginated report -- Using Power BI datasets in Excel PivotTables -- Summary -- Questions Chapter 10: Creating Dashboards -- Technical requirements -- Introducing Power BI dashboards -- Creating a dashboard -- Setting a dashboard theme -- Using a dashboard -- Pinning tiles -- Optimizing dashboards -- Configuring views of a dashboard -- Optimizing the performance of a dashboard -- Summary -- Questions -- Chapter 11: Enhancing Reports -- Technical requirements -- Using bookmarks -- Using the selection pane -- Creating custom tooltips -- Interactions between visuals -- Configuring navigation for a report -- Applying sorting -- Sync slicers -- Using drillthrough and cross-filter -- Drilling down into data using interactive visuals -- Exporting report data -- Designing reports for mobile devices -- Summary -- Questions -- Part 4 - Analyzing the Data -- Chapter 12: Exposing Insights from Data -- Technical requirements -- Exploring slicers and filters -- The Analytics pane -- Summary -- Questions -- Chapter 13: Performing Advanced Analysis -- Technical requirements -- Identifying outliers -- Using anomaly detection -- Conducting time series analysis -- Grouping and binning -- Grouping -- Binning -- Key influencers -- Decomposition tree visual -- Applying AI insights -- Summary -- Questions -- Part 5 - Deploying and Maintaining Deliverables -- Chapter 14: Managing Workspaces -- Technical requirements -- Using workspaces -- Using workspace roles -- Workspace licensing -- Distributing reports and dashboards -- Creating a Power BI app -- Using deployment pipelines -- Creating a deployment pipeline -- Unassigning a workspace to a deployment pipeline stage -- Automating deployment pipelines -- Monitoring workspace usage -- Using usage reports -- Summary -- Questions -- Chapter 15: Managing Datasets -- Technical requirements -- Configuring a dataset scheduled refresh -- Identifying when a gateway is required Configuring row-level security group membership -- Providing access to datasets -- Summary -- Questions -- Part 6 - Practice Exams -- Chapter 16: Practice Exams -- Practice test 1 -- Practice Test 2 -- Answer keys -- Practice Test 1 -- Practice Test 2 -- Appendix: Practice Question Answers -- Chapter 1, Overview of Power BI and the PL-300 Exam -- Chapter 2, Connecting to Data Sources -- Chapter 3, Profiling the Data -- Chapter 4, Cleansing, Transforming, and Shaping Data -- Chapter 5, Designing a Data Model -- Chapter 6, Using Data Model Advanced Features -- Chapter 7, Creating Measures Using DAX -- Chapter 8, Optimizing Model Performance -- Chapter 9, Creating Reports -- Chapter 10, Creating Dashboards -- Chapter 11, Enhancing Reports -- Chapter 12, Exposing Insights from Data -- Chapter 13, Performing Advanced Analytics -- Chapter 14, Managing Workspaces -- Chapter 15, Managing Datasets -- Index Microsoft Power BI (Computer file) Corcoran, Edward Sonstige oth Erscheint auch als Druck-Ausgabe Edenfield, Orrin Microsoft Power BI Data Analyst Certification Guide Birmingham : Packt Publishing, Limited,c2022 |
| spellingShingle | Edenfield, Orrin Microsoft Power BI Data Analyst Certification Guide A Comprehensive Guide to Becoming a Confident and Certified Power BI Professional Cover -- Title -- Copyright and Credits -- Table of Contents -- Part 1 - Preparing the Data -- Chapter 1: Overview of Power BI and the PL-300 Exam -- A brief overview of Power BI -- Power BI for business intelligence -- Power BI as a solution -- Why get certified? -- PL-300 Analyzing Data with Microsoft Power BI -- Microsoft tests -- Timelines -- Strategies to get a passing grade -- Summary -- Questions -- Chapter 2: Connecting to Data Sources -- Technical requirements -- Identifying data sources -- Local data sources, files, and databases -- Cloud and SaaS data sources -- Connecting to data sources -- On-premises data gateway -- Exploring query types -- Power BI datasets -- Power BI dataflows -- Query performance tuning -- Reducing the data size -- DirectQuery optimization -- Composite model optimization -- Advanced options (what-if parameters, Power Query parameters, PBIDS files, and XMLA endpoints) -- What-if parameters -- Power Query parameters -- PBIDS files -- XMLA endpoints -- Summary -- Questions -- Chapter 3: Profiling the Data -- Technical requirements -- Identifying data anomalies -- Interrogating column properties -- Examining data structures -- Interrogating data statistics -- Column distribution -- Column profile -- Summary -- Questions -- Chapter 4: Cleansing, Transforming, and Shaping Data -- Technical requirements -- Accessing Power Query in Power BI -- Sorting and filtering -- Managing columns -- Using column transformations -- Transforming any data type columns -- Transforming text columns -- Transforming number columns -- Transforming date and time columns -- Adding columns -- Using row transformations -- Combining data -- Using merge queries -- Append queries -- Combine files -- Enriching data with AI -- Language detection -- Key phrase extraction -- Sentiment analysis -- Image tagging -- Azure ML. Using advanced operations of Power Query -- Using the Advanced Editor -- Using the Query Dependencies tool -- R and Python scripts -- Summary -- Questions -- Part 2 - Modeling the Data -- Chapter 5: Designing a Data Model -- Technical requirements -- Define the tables -- Flatten out a parent-child hierarchy -- Star schema -- Defining relationships -- Cardinality -- Cross-filter direction -- Relationship test tips -- Define role-playing dimensions -- Date table as a role-playing dimension -- Configure table and column properties -- The General section -- The Formatting section -- The Advanced section -- Define quick measures -- Resolve many-to-many relationships -- Create a common date table -- Power BI date hierarchy tables -- Using your own date table -- Date math -- Model size -- Role-playing with our date table -- Define the appropriate level of data granularity -- Design the data model to meet performance requirements -- Summary -- Questions -- Chapter 6: Using Data Model Advanced Features -- Technical requirements -- Using sensitivity labels -- Implementing row-level security -- Setting up row-level security -- Managing row-level security -- Applying natural-language Q& -- A capability -- Using Q& -- A in reports and dashboards -- Q& -- A linguistic models -- Optimizing Q& -- A in data models -- Summary -- Questions -- Chapter 7: Creating Measures Using DAX -- Technical requirements -- Building complex measures with DAX -- Quick measures -- Creating your own measure -- Measures versus calculated columns -- Default summarization -- Context is everything! -- Using CALCULATE to manipulate filters -- Simple filtering -- The FILTER function -- The ALL function -- Implementing time intelligence using DAX -- Date tables -- Role-playing dimensions -- Replacing numeric calculated columns with measures -- The X functions When to use calculated columns -- When to use measures -- Using basic statistical functions to enhance data -- Changing the default summarization -- Binning and grouping histograms -- Implementing top N analysis -- Ranking function -- Top N functions -- Creating semi-additive measures -- Additive measures -- Non-additive measures -- Semi-additive measures -- Summary -- Questions -- Chapter 8: Optimizing Model Performance -- Technical requirements -- Optimizing data in the model -- Removing unnecessary rows and columns -- Splitting numeric and text column data -- Optimizing measures, relationships, and visuals -- Optimizing relationships -- Optimizing visuals -- Optimizing with aggregations -- Query diagnostics -- Session diagnostics -- Step diagnostics -- Understanding query diagnostics -- Summary -- Questions -- Part 3 - Visualizing the Data -- Chapter 9: Creating Reports -- Technical requirements -- Understanding the capabilities of Power BI -- Adding visualization items to reports -- Choosing an appropriate visualization type -- Table and matrix visualizations -- Bar and column charts -- Line and area charts -- Pie chart, donut chart, and treemaps -- Combination charts -- Card visualization -- Funnel visualization -- Gauge chart -- Waterfall chart -- Scatter chart -- Map visuals -- Q& -- A visualization -- Formatting and configuring visualizations -- Formatting options for a visualization -- Importing a custom visual -- Configuring conditional formatting -- Configuring small multiples -- Applying slicing and filtering -- Adding an R or Python visual -- Adding a smart narrative visual -- Configuring the report page -- Designing and configuring for accessibility -- Report accessibility checklist -- Configuring automatic page refresh -- Creating a paginated report -- Using Power BI datasets in Excel PivotTables -- Summary -- Questions Chapter 10: Creating Dashboards -- Technical requirements -- Introducing Power BI dashboards -- Creating a dashboard -- Setting a dashboard theme -- Using a dashboard -- Pinning tiles -- Optimizing dashboards -- Configuring views of a dashboard -- Optimizing the performance of a dashboard -- Summary -- Questions -- Chapter 11: Enhancing Reports -- Technical requirements -- Using bookmarks -- Using the selection pane -- Creating custom tooltips -- Interactions between visuals -- Configuring navigation for a report -- Applying sorting -- Sync slicers -- Using drillthrough and cross-filter -- Drilling down into data using interactive visuals -- Exporting report data -- Designing reports for mobile devices -- Summary -- Questions -- Part 4 - Analyzing the Data -- Chapter 12: Exposing Insights from Data -- Technical requirements -- Exploring slicers and filters -- The Analytics pane -- Summary -- Questions -- Chapter 13: Performing Advanced Analysis -- Technical requirements -- Identifying outliers -- Using anomaly detection -- Conducting time series analysis -- Grouping and binning -- Grouping -- Binning -- Key influencers -- Decomposition tree visual -- Applying AI insights -- Summary -- Questions -- Part 5 - Deploying and Maintaining Deliverables -- Chapter 14: Managing Workspaces -- Technical requirements -- Using workspaces -- Using workspace roles -- Workspace licensing -- Distributing reports and dashboards -- Creating a Power BI app -- Using deployment pipelines -- Creating a deployment pipeline -- Unassigning a workspace to a deployment pipeline stage -- Automating deployment pipelines -- Monitoring workspace usage -- Using usage reports -- Summary -- Questions -- Chapter 15: Managing Datasets -- Technical requirements -- Configuring a dataset scheduled refresh -- Identifying when a gateway is required Configuring row-level security group membership -- Providing access to datasets -- Summary -- Questions -- Part 6 - Practice Exams -- Chapter 16: Practice Exams -- Practice test 1 -- Practice Test 2 -- Answer keys -- Practice Test 1 -- Practice Test 2 -- Appendix: Practice Question Answers -- Chapter 1, Overview of Power BI and the PL-300 Exam -- Chapter 2, Connecting to Data Sources -- Chapter 3, Profiling the Data -- Chapter 4, Cleansing, Transforming, and Shaping Data -- Chapter 5, Designing a Data Model -- Chapter 6, Using Data Model Advanced Features -- Chapter 7, Creating Measures Using DAX -- Chapter 8, Optimizing Model Performance -- Chapter 9, Creating Reports -- Chapter 10, Creating Dashboards -- Chapter 11, Enhancing Reports -- Chapter 12, Exposing Insights from Data -- Chapter 13, Performing Advanced Analytics -- Chapter 14, Managing Workspaces -- Chapter 15, Managing Datasets -- Index Microsoft Power BI (Computer file) |
| title | Microsoft Power BI Data Analyst Certification Guide A Comprehensive Guide to Becoming a Confident and Certified Power BI Professional |
| title_auth | Microsoft Power BI Data Analyst Certification Guide A Comprehensive Guide to Becoming a Confident and Certified Power BI Professional |
| title_exact_search | Microsoft Power BI Data Analyst Certification Guide A Comprehensive Guide to Becoming a Confident and Certified Power BI Professional |
| title_full | Microsoft Power BI Data Analyst Certification Guide A Comprehensive Guide to Becoming a Confident and Certified Power BI Professional |
| title_fullStr | Microsoft Power BI Data Analyst Certification Guide A Comprehensive Guide to Becoming a Confident and Certified Power BI Professional |
| title_full_unstemmed | Microsoft Power BI Data Analyst Certification Guide A Comprehensive Guide to Becoming a Confident and Certified Power BI Professional |
| title_short | Microsoft Power BI Data Analyst Certification Guide |
| title_sort | microsoft power bi data analyst certification guide a comprehensive guide to becoming a confident and certified power bi professional |
| title_sub | A Comprehensive Guide to Becoming a Confident and Certified Power BI Professional |
| topic | Microsoft Power BI (Computer file) |
| topic_facet | Microsoft Power BI (Computer file) |
| work_keys_str_mv | AT edenfieldorrin microsoftpowerbidataanalystcertificationguideacomprehensiveguidetobecomingaconfidentandcertifiedpowerbiprofessional AT corcoranedward microsoftpowerbidataanalystcertificationguideacomprehensiveguidetobecomingaconfidentandcertifiedpowerbiprofessional |