Power BI Training in Bangalore

Learn Power BI Course from Expert Oracle Trainers who are Real-time Working Professionals.
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Best Power BI Training in Bangalore

Softgen Infotech, based in BTM Layout, is a premier training facility that offers real-time and job-oriented POWER BI Training Courses. We have completed over 2000 POWER BI sessions with a 100% placement rate, assisting college students. For the past 5 years, the team at Softgen infotech has been dedicated to providing high-quality POWER BI training.

Softgen Infotech’s trainers have a minimum of 5 years of experience implementing POWER BI Technology and are hand-picked from the POWER BI sector. All POWER BI Trainers are real-world consultants with extensive experience in providing hands-on training based on real-time scenarios.

Our POWER BI training centre in Bangalore is completely equipped with labs and excellent infrastructure to give you hands-on experience. We also provide certification training for POWER BI. We have successfully trained and placed several of our students in huge MNC firms with the help of placement assistance.


Contact us and let us together build a perfect career for your future!

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    Why Choose Softgen Infotech

    Softgen Infotech is a leading Training Institute in Bangalore providing Quality Training for Multiple IT Courses with Placement Assistance.

    Live & Interactive Sessions

    Real Time Training

    Practical Classes

    Interview & Placement Assistance

    Need Advice?

    Worried or Confused whether this is the right course for you? Feel free to reach our Expert Consultant for all your Queries !

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    Course Material & Syllabus

    Get all Course Content and Syllabus. Get Trained like a  Professional. We Provide Course Material, Prepare for Interviews, Arrange Mock Interviews and 100 % Placement Assistance

    CHAPTER 1: INTRODUCTION TO POWER BI (Free Demo)

    • 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
    • On Premise 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

     

    CHAPTER 2: 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

     

    CHAPTER 3: REPORT VISUALIZATIONS and PROPERTIES

    • Power BI Design: Canvas, Visualizations and Fields
    • 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 Customized 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

     

    CHAPTER 4: 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

    CHAPTER 5: HIERARCHIES and DRILLDOWN REPORTS

    • Hierarchies and Drilldown Options
    • Hierarchy Levels and Drill Modes – Usage
    • Drill-thru Options with Tree Map and Pie Chart
    • Higher Levels and Next Level Navigation Options
    • Aggregates with Bottom/Up Navigations. Rules
    • Multi Field Aggregations and Hierarchies in Power BI
    • DRILLDOWN, SHOWNEXTLEVEL, EXPANDTONEXTLEVEL
    • SEE DATA and SEE RECORDS Options. Differences
    • Toggle Options with Tabular Data. Filters
    • Drilldown Buttons and Mouse Hover Options @ Visuals
    • Dependent 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

    CHAPTER 6: POWER QUERY & M LANGUAGE – Part 1

    • 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: Nested Join and Join Kind Functions
    • REPLACE, REMOVE ROWS, REMOVE COL, BLANK – M Lang
    • Column Splits and Filled Up / Filled Down Options
    • Query Hide and Change Type Options. Code Generation

    CHAPTER 7: POWER QUERY & M LANGUAGE – Part 2

    • 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 Semitics 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 through Filters

    Power BI Training Course Duration & Batch Timings

    Duration : 30 Hours Version : latest Version
    Regular : 1 Hour per day Fast Track : 2 - 3 Hours per day: 10 days
    Weekdays : Monday - Friday Weekend : Saturday and Sunday
    Online Training : Available Class Room Training : Available
    Course Fee : Talk to our Customer Support Mode of Payment : Talk to our Customer Support

    Frequently Asked Questions for Power BI Training Course

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