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Home
Careerera
Courses
Microsoft Power Business Intelligence Training
Microsoft Power Business Intelligence Training
BY
Careerera
Brochure
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Online
24 Hours
Quick Facts
particular
details
Medium of instructions
English
Mode of learning
Self study, Virtual Classroom
Mode of Delivery
Video and Text Based
Course and certificate fees
certificate availability
Yes
certificate providing authority
Careerera
The syllabus
Chapter - 1: Power BI –A Complete Package Introduction
Chapter - 1.1: Introduction to Power BI
Chapter - 1.2: Components of Power BI
Chapter - 1.3: Installing Power BI Desktop
Chapter - 1.4: Various Options in Power BI Desktop
Chapter - 2: Working with Different Sources (Excel, SQL Server, OData Feed etc.)
Chapter - 2.1: Import
Chapter - 2.2: Direct Query
Chapter - 2.3: Import vs Direct Query
Chapter - 2.4: Limitations of Direct Query
Chapter - 2.5: Query Editor
Chapter - 2.6: Working with Power Query Editor
Chapter - 2.7: Relationships (1:1, 1: Many, Many:1)
Chapter - 2.8: Basics of M Language
Chapter - 3: Reports Development
Chapter - 3.1: Reports Development in Power BI
Chapter - 3.2: Working with Different Visuals
Chapter - 3.3: Formatting Options in Reports
Chapter - 3.4: Working with Filters
Chapter - 3.5: Custom Visuals
Chapter - 4: Power BI Service (Power BI service domain account will be provided to hands on Service)
Chapter - 4.1: Overview of Power BI Service
Chapter - 4.2: Publishing the Reports
Chapter - 4.3: Dashboards
Chapter - 4.4: Gateways
Chapter - 4.5: Enterprise vs Personal Gateway
Chapter - 4.6: Work Spaces
Chapter - 4.7: Content Packs/ Apps
Chapter - 4.8: Security
Chapter - 4.9: Schedule Data Refresh
Chapter - 4.10: Power BI Premium
Chapter - 5: SSAS Tabular
Chapter - 5.1: SSAS Tabular Overview
Chapter - 5.2: Install and Configure SSAS Tabular
Chapter - 5.3: Building a Tabular Model
Chapter - 5.4: SSAS Tabular as Source
Chapter - 5.5: Live Connections
Chapter - 5.6: Deploy & Processing in Tabular
Chapter - 5.7: SQL Server Agent
Chapter - 5.9: Schedule Processing of Model
Chapter - 6: Data Analysis Expressions (DAX)
Chapter - 6.1: Introduction to DAX
Chapter - 6.2: Calculated Columns
Chapter - 6.3: Measures
Chapter - 6.4: Calculated Columns vs Measures
Chapter - 6.5: Variables
Chapter - 6.6: Table Functions
Chapter - 6.7: Evaluation Contexts
Chapter - 6.8: Calculate
Chapter - 6.9: Time Intelligence in DAX
Chapter - 6.10: Frequently Used DAX functions in Real time
Chapter - 6.11: Calendar Functions
Chapter - 7: Advanced/ Other Power BI Concepts
Chapter - 7.1: Parameters
Chapter - 7.2: Drill Through
Chapter - 7.3: Bookmarks
Chapter - 7.4: Row level Security
Chapter - 7.5: Dynamic Measures
Chapter - 7.6: Dynamic Axis in Charts
Chapter - 7.7: Dynamic Filters
Chapter - 7.8: Power BI Template file
Chapter - 7.9: Wallpapers
Chapter - 7.10: Themes
Chapter - 7.11: Q&A
Chapter - 7.12: Editing the Themes
Chapter - 7.13: Power BI Updates
Chapter - 8: Live Project
Chapter - 8.1: Course Prerequisites
Chapter - 8.2: Before attending Analyzing Data with Power BI course, students must have:
Chapter - 8.3: Good understanding of relational databases and reporting.
Chapter - 8.4: Some basic knowledge of data warehouse schema topology (including star and snowflake schemas).
Chapter - 8.5: Fundamental understanding of basic programming constructs (such as looping and branching).
Chapter - 8.6: Basic knowledge of key business priorities such as revenue, profitability, and financial accounting
Chapter - 8.7: Familiarity with Microsoft Office applications particularly Excel.
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