Power BI Training Syllabus
SLA offers the top Power BI training in Chennai along with job placement support. Students enrolled in our Power BI Course gain an understanding of the following topics: SSIS and Data Warehouse, ETL entities, SSIS Expressions and Package Debugging, Data Flow Transformations, SSIS Customizations, SCD Transformation, Data Capture, and SSIS Project Deployments as a part of the Power BI training syllabus.
We hope that the Power BI course Syllabus will be useful to students all over the world. We train newcomers in everything from fundamentals to advanced concepts, and for professionals in the workforce and applicants who want to learn quickly, we will assess your skill level in order to tailor the Power BI training curriculum to the needs of students.
Introduction To Power BI
- Introduction to Power BI – Need, Importance
- Power BI – Advantages and Scalable Options
- History – Power View, Power Query, Power Pivot
- Power BI Data Source Library and DW Files
- Cloud Collaboration and Usage Scope
- Business Analyst Tools, MS Cloud Tools
- Power BI Installation and Cloud Account
- Power BI Cloud and Power BI Service
- Power BI Architecture and Data Access
- OnPremise Data Access and Microsoft On Drive
- Power BI Desktop – Installation, Usage
- Sample Reports and Visualization Controls
- Power BI Cloud Account Configuration
- Understanding Desktop & Mobile Editions
- Report Rendering Options and End User Access
- Power View and Power Map. Power BI Licenses
- Course Plan – Power BI Online Training
CREATING POWER BI REPORTS, AUTO FILTERS
- Report Design with Legacy &.DAT Files
- Report Design with Database Tables
- Understanding Power BI Report Designer
- Report Canvas, Report Pages: Creation, Renames
- Report Visuals, Fields and UI Options
- Experimenting Visual Interactions, Advantages
- Reports with Multiple Pages and Advantages
- Pages with Multiple Visualizations. Data Access
- PUBLISH Options and Report Verification in Cloud
- “GET DATA” Options and Report Fields, Filters
- Report View Options: Full, Fit Page, Width Scale
- Report Design using Databases & Queries
- Query Settings and Data Preloads
- Navigation Options and Report Refresh
- Stacked bar chart, Stacked column chart
- Clustered bar chart, Clustered column chart
- Adding Report Titles. Report Format Options
- Focus Mode, Explore and Export Settings
REPORT VISUALIZATIONS and PROPERTIES
- Power BI Design: Canvas, Visualizations, and Fileds
- Import Data Options with Power BI Model, Advantages
- Direct Query Options and Real-time (LIVE) Data Access
- Data Fields and Filters with Visualizations
- Visualization Filters, Page Filters, Report Filters
- Conditional Filters and Clearing. Testing Sets
- Creating Customised Tables with Power BI Editor
- General Properties, Sizing, Dimensions, and Positions
- Alternate Text and Tiles. Header (Column, Row) Properties
- Grid Properties (Vertical, Horizontal) and Styles
- Table Styles & Alternate Row Colors – Static, Dynamic
- Sparse, Flashy Rows, Condensed Table Reports. Focus Mode
- Totals Computations, Background. Borders Properties
- Column Headers, Column Formatting, Value Properties
- Conditional Formatting Options – Color Scale
- Page-Level Filters and Report Level Filters
- Visual-Level Filters and Format Options
- Report Fields, Formats and Analytics
- Page-Level Filters and Column Formatting, Filters
- Background Properties, Borders and Lock Aspect
CHART AND MAP REPORT PROPERTIES
- CHART Report Types and Properties
- STACKED BAR CHART, STACKED COLUMN CHART
- CLUSTERED BAR CHART, CLUSTERED COLUMN CHART
- 100% STACKED BAR CHART, 100% STACKED COLUMN CHART
- LINE CHARTS, AREA CHARTS, STACKED AREA CHARTS
- LINE AND STACKED ROW CHARTS
- LINE AND STACKED COLUMN CHARTS
- WATERFALL CHART, SCATTER CHART, PIE CHART
- Field Properties: Axis, Legend, Value, Tooltip
- Field Properties: Color Saturation, Filters Types
- Formats: Legend, Axis, Data Labels, Plot Area
- Data Labels: Visibility, Color and Display Units
- Data Labels: Precision, Position, Text Options
- Analytics: Constant Line, Position, Labels
- Working with Waterfall Charts and Default Values
- Modifying Legends and Visual Filters – Options
- Map Reports: Working with Map Reports
- Hierarchies: Grouping Multiple Report Fields
- Hierarchy Levels and Usages in Visualizations
- Preordered Attribute Collection – Advantages
- Using Field Hierarchies with Chart Reports
- Advanced Query Mode @ Connection Settings – Options
- Direct Import and In-memory Loads, Advantages
HIERARCHIES and DRILLDOWN REPORTS
- Hierarchies and Drill Down Options
- Hierarchy Levels and Drill Modes – Usage
- Drill-thru Options with TreeMap and Pie Chart
- Higher Levels and Next Level Navigation Options
- Aggregates with Bottom/Up Navigations. Rules
- Multi-Field Aggregations and Hierarchies in Power BI
- Drill down, SHOWNEXTLEVEL, EXPANDTONEXTLEVEL
- SEE DATA and SEE RECORDS Options. Differences
- Toggle Options with Tabular Data. Filters
- Drilldown Buttons and Mouse Hover Options @ Visuals
- Dependant Aggregations, Independent Aggregations
- Automated Records Selection with Tabular Data
- Report Parameters: Creation and Data Type
- Available Values and Default values. Member Values
- Parameters for Column Data and Table / Query Filters
- Parameters Creation – Query Mode, UI Option
- Linking Parameters to Query Columns – Options
- Edit Query Options and Parameter Manage Entries
- Connection Parameters and Dynamic Data Sources
- Synonyms – Creation and Usage Options
POWER QUERY & M LANGUAGE
- Understanding Power Query Editor – Options
- Power BI Interface and Query / Dataset Edits
- Working with Empty Tables and Load / Edits
- Empty Table Names and Header Row Promotions
- Undo Headers Options. Blank Columns Detection
- Data Imports and Query Marking in Query Editor
- JSON Files & Binary Formats with Power Query
- JavaScript Object Notation – Usage with M Lang.
- Applied Steps and Usage Options. Revert Options
- creating Query Groups and Query References. Usage
- Query Rename, Load Enable, and Data Refresh Options
- Combine Queries – Merge Join and Anti-Join Options
- Combine Queries – Union and Union All as New Dataset
- M Language: NestedJoin and JoinKind Functions
- REPLACE, REMOVE ROWS, REMOVE COL, BLANK – M Lang
- Column Splits and FilledUp / FilledDown Options
- Query Hide and Change Type Options. Code Generation
POWER QUERY & M LANGUAGE
- Invoke Function and Freezing Columns
- Creating Reference Tables and Queries
- Detection and Removal of Query Datasets
- Custom Columns with Power Query
- Power Query Expressions and Usage
- Blank Queries and Enumeration Value Generation
- M Language Semantics and Syntax. Transform Types
- IF.ELSE Conditions, TransformColumn() Types
- RemoveColumns(), SplitColumns(),ReplaceValue()
- Table.Distinct Options and GROUP BY Options
- Table.Group(), Table.Sort() with Type Conversions
- PIVOT Operation and Table.Pivot(). List Functions
- Using Parameters with M Language (Power Query Editor)
- Advanced Query Editor and Parameter Scripts
- List Generation and Table Conversion Options
- Aggregations using PowerQuery & Usage in Reports
- Report Generation using Web Pages & HTML Tables
- Reports from Page collection with Power Query
- Aggregate and Evaluate Options with M Language
- Creating high-density reports, ArcGIS Maps, ESRI Files
- Generating QR Codes for Reports
- Table Bars and Drill Thru Filters
DAX EXPRESSIONS – Level 1
- Purpose of Data Analysis Expressions (DAX)
- Scope of Usage with DAX. Usability Options
- DAX Context: Row Context and Filter Context
- DAX Entities: Calculated Columns and Measures
- DAX Data Types: Numeric, Boolean, Variant, Currency
- Datetime Data Tye with DAX. Comparison with Excel
- DAX Operators & Symbols. Usage. Operator Priority
- Parenthesis, Comparison, Arithmetic, Text, Logic
- DAX Functions and Types: Table-Valued Functions
- Filter, Aggregation and Time Intelligence Functions
- Information Functions, Logical, Parent-Child Functions
- Statistical and Text Functions. Formulas and Queries
- Syntax Requirements with DAX. Differences with Excel
- Naming Conventions and DAX Format Representation
- Working with Special Characters in Table Names
- Attribute / Column Scope with DAX – Examples
- Measure / Column Scope with DAX – Examples
DAX EXPRESSIONS – Level 2
- YTD, QT, MTD Calculations with DAX
- DAX Calculations and Measures
- Using TOPN, RANKX, RANK.EQ
- Computations using STDEV & VAR
- SAMPLE Function, COUNT ALL, ISERROR
- ISTEXT, date format, TIME FORMAT
- Time Intelligence Functions with DAX
- Data Analysis Expressions and Functions
- DATESYTD, DATESQTD, DATESMTD
- END OF YEAR, ENDOFQUARTER, ENDOFMONTH
- FIRST DATE, LAST DATE, DATES BETWEEN
- CLOSINGBALANCEYEAR, CLOSINGBALANCEQTR
- SAME PERIOD and PREVIOUS MONTH, QUARTER
- KPIs with DAX. Vertipaq Queries in DAX
- IF-ELSE-IF Conditions with DAX
- Slicing and Dicing Options with Columns, Measures
- DAX for Query Extraction, Data Mashup Operations
- Calculated Columns and Calculated Measures with DAX
POWER BI DEPLOYMENT & CLOUD
- PowerBI Report Validation and Publish
- Understanding PowerBI Cloud Architecture
- PowerBI Cloud Account and Workspace
- Reports and DataSet Items Validation
- Dashboards and Pins – Real-time Usage
- Dynamic Data Sources and Encryptions
- Personal and Organizational Content Packs
- Gateways, Subscriptions, Mobile Reports
- Data Refresh with Power BI Architecture
- PBIX and PBIT Files with Power BI – Usage
- Visual Data Imprts and Visual Schemas
- Cloud and On-Premise Data Sources
- How the PowerBI Supports Data Model?
- The relation between Dashboards to Reports
- The relation between Datasets to Reports
- The relation between Datasets to Dashboards
- Page to Report – Mapping Options
- Publish Options and Data Import Options
- Need for PINS @ Visuals and PINS @ Reports
- Need for Data Streams and Cloud Integration
POWER BI CLOUD OPERATIONS
- Report Publish Options and Verifications
- Working with Power BI Cloud Interface & Options
- Navigation Paths with “My Workspace” Screens
- FILE, VIEW, EDIT REPORTS, ACCESS, drill down
- Saving Reports into pdf, pptx, etc. Report Embed
- Report Rendering and EDIT, SAVE, Print Options
- Report PIN and individual Visual PIN Options
- Create and Use Dashboards. Menu Options
- Go to Dashboard and Goto LIVE Page Options
- Operations on Pinned Reports and Visuals
- TITLE, MEDIA, USAGE METRICS & FAVOURITES
- SUBSCRIPTION Options and Reports with Mobile View
- Options with Report Page: Print and Subscribe
- Report Actions: USAGE METRICS, ANALYSE IN EXCEL
- Report Actions: RELATED ITEMS, RENAME, DELETE
- Dashboard Actions: METRICS, RELATED ITEMS
- Dashboard Actions: SETTINGS FOR Q & A, DELETE
- PIN Actions: METRICS, SHARE, RELATED ITEMS
- PIN Actions: SETTINGS FOR Q & A, DELETE
- EDIT DASHBOARD (CLOUD), On-The-Fly Reports
- Dataset Actions: CREATE REPORT, REFRESH
- SCHEDULED REFRESH & RELATED ITEMS
- Dashboard Integration with Apps in Power BI
IMPROVING POWER BI REPORTS
- Publish PowerBI Report Templates
- Import and Export Options with Power BI
- Dataset Navigations and Report Navigations
- Quick Navigation Options with “My Workspace”
- Dashboards, Workbooks, Reports, Datasets
- Working with MY WORKSPACE group
- Installing the Power BI Personal Gateway
- Automatic Refresh – Possible Issues
- Adding images to the dashboards
- Reading & Editing Power BI Views
- Power BI Templates (pbit)- Creation, Usage
- Managing report in Power BI Services
- PowerBI Gateway – Download and Installation
- Personal and Enterprise Gateway Features
- PowerBI Settings: Dataset – Gateway Integration
- Configuring Dataset for Manual Refresh of Data
- Configuring Automatic Refresh and Schedules
- Workbooks and Alerts with Power BI
- Dataset Actions and Refresh Settings with Gateway
- Using natural Language Q&A to data – Cortana
INSIGHTS AND SUBSCRIPTIONS
- Data Navigation Paths and Data Splits
- Getting data from existing systems
- Data Refresh and LIVE Connections
- pbit and pbix: differences. Usage Options
- Quick Insights For Power BI Reports
- Quick Insights For PowerBI Dashboards
- Generating Insights with Cloud Datasets
- Generating Reports with Cloud Datasets
- Using relational databases on-premises
- Using relational databases in the cloud
- Consuming a service content pack
- Creating a custom data set from a service
- Creating a content pack for your organization
- Consuming an organizational content pack
- Updating an organizational content pack
- Adding Tiles: Images, Videos, DataStreams
- Creating New Reports from Cortana, Advantages
POWER INTEGRATION ELEMENTS
- SSRS Integration with Power BI
- SSRS Report Portal URL to Power BI Cloud
- Power BI KPI Reports Vs SSRS KPI Reports
- Converting and Working with Mobile Reports
- Report Builder Reports to Power BI
- Generating QR Codes and Report Security
- Reporting JSON Files, Bulk Data Loads
- Creating high-density Reports in Power BI
- OLAP DataSources in Power BI
- Using MDX Queries with PowerBI Queries
- MDX SELECT and Perspective Access
- KPIs and MDX Expressions with Power BI
- MDX Queries and Filters with Power BI
- Linked Servers and T-SQL SPROCs with MDX
- YTD, PARALLELPERIOD, SCOPE, ALL MEMBERS
- WHERE, EXCEPT, RANGE, NONEMPTY
- CURRENT & EMPTY, AND / OR, LEFT / RIGHT
- Implementing Row Level Security (RLS)
- Security Roles and Role Members. Tests
- Using R for Power BI, Streaming DataSets
- Azure Connections with PowerBI Desktop
- PowerBI Reports using SQL Azure DBs
The Power BI course syllabus has been revised to reflect the most recent changes in the business world. Every session is loaded with hands-on exercises designed to help students learn more effectively. Using SLA’s training courses, you can quickly and conveniently earn your Power BI Certification with IBM Collaboration.
No more waiting! Just enroll in SLA and strengthen your skills!