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Course Details

Course Type: Big Data, AI and Analytics

Name: 20778 SF – Analyzing Data with Microsoft Power BI

Category: SQL Server

Duration: 22 hours

Venue: 298 Tiong Bahru Road #08-05 Central Plaza Singapore 168730

Fee (inclusive of GST): $1605.00

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    Big Data, AI and Analytics

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    • 20778 SF – Analyzing Data with Microsoft Power BI
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    20778 SF – Analyzing Data with Microsoft Power BI

    Big Data, AI and Analytics, Data, AI & Analytics, Excel, Microsoft, Microsoft Business Applications, Microsoft Technical, Office Applications Skills, Power Platform, SQL Server
    $1,605.00
    20778 SF – Analyzing Data with Microsoft Power BI
    DURATION FEE (S$ before GST)
    22 hours 1,500.00
    COURSE CODE
    MS 20778
    VENUE
    298 Tiong Bahru Road #08-05 Central Plaza Singapore 168730
    Training Hours
    9.00am to 5.30pm

    Course Overview

    COURSE REF: CRS-Q-0036087-ICT
    DURATION: 22 Hours
    ABOUT THIS COURSE

    The main purpose of the course is to give students a good understanding of data analysis with Power BI. The course includes creating visualizations, the Power BI Service, and the Power BI Mobile App.

    This course is SSG Funding approved for Singapore Citizens/Permanent Residents.

    Course Overview

    Audience Profile

    The course will likely be attended by database report creators who are interested in alternative methods of presenting data.

     

    Pre Requisite

    Before attending this course, students must have:

    • Excellent knowledge of relational databases and reporting.
    • An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable.
    • Familiarity with Microsoft Office applications – particularly Advanced Excel.

    Having this prior knowledge is an advantage but not mandatory:

    • Some basic knowledge of data warehouse schema topology (including star and snowflake schemas).
    • Some exposure to basic programming constructs (such as looping and branching).

    Course Details

    Module 1: Introduction to Self-Service BI Solutions
    Introduces business intelligence (BI) and how to self-serve with BI.
    Lessons

    • Introduction to business intelligence
    • Introduction to data analysis
    • Introduction to data visualization
    • Overview of self-service BI
    • Considerations for self-service BI
    • Microsoft tools for self-service BI

    Lab : Exploring an Enterprise BI solution

    • Viewing reports
    • Creating a Power BI report
    • Creating a Power BI dashboard

    After completing this module, students will be able to:

    • Describe the trends in BI
    • Describe the process of data analysis in Power BI.
    • Use the key visualizations in Power BI.
    • Describe the rationale for self-service BI.
    • Describe considerations for self-service BI.
    • Understand how you can use Microsoft products to implement a BI solution.

     

    Module 2: Introducing Power BI
    This module introduces Power BI desktop, and explores the features that enable the rapid creation and publication of sophisticated data visualizations.
    Lessons

    • Power BI
    • The Power BI service

    Lab : Creating a Power BI dashboard

    • Connecting to Power BI data
    • Create a Power BI dashboard

    After completing this module, students will be able to:

    • Develop reports using the Power BI Desktop app.
    • Use report items to create dashboards on the Power BI portal.
    • Understand the components of the Power BI service including licensing and tenant management.

     

    Module 3: Power BI
    At the end of this module students will be able to explain the rationale and advantages of using Power BI.
    Lessons

    • Using Excel as a data source for Power BI
    • The Power BI data model
    • Using databases as a data source for Power BI
    • The Power BI service

    Lab : Importing data into Power BI

    • Importing Excel files into Power BI
    • Viewing reports from Excel files

    After completing this module, students will be able to:

    • Describe the data model and know how to optimize data within the model.
    • Connect to Excel files and import data
    • Use on-premises and cloud Microsoft SQL Server databases as a data source, along with the R script data connector
    • Take advantage of the features of the Power BI service by using Q&A to ask questions in natural query language, and create content packs and groups.

     

    Module 4: Shaping and Combining Data
    With Power BI desktop you can shape and combine data with powerful, built-in tools. This module introduces the tools that are available for preparing your data, and transforming it into a form ready for reporting.
    Lessons

    • Power BI desktop queries
    • Shaping data
    • Combining data

    Lab : Shaping and combining data

    • Shape power BI data
    • Combine Power BI data

    After completing this module, students will be able to:

    • Perform a range of query editing skills in Power BI
    • Shape data, using formatting and transformations.
    • Combine data together from tables in your dataset.

     

    Module 5: Modeling data
    This module describes how to shape and enhance data.
    Lessons

    • Relationships
    • DAX queries
    • Calculations and measures

    Lab : Modeling Data

    • Create relationships
    • Calculations

    After completing this module, students will be able to:

    • Describe relationships between data tables.
    • Understand the DAX syntax, and use DAX functions to enhance your dataset.
    • Create calculated columns, calculated tables and measures.

     

    Module 6: Interactive Data Visualizations
    This module describes how to create and manage interactive data visualizations.
    Lessons

    • Creating Power BI reports
    • Managing a Power BI solution

    Lab : Creating a Power BI report

    • Connecting to Power BI data
    • Building Power BI reports
    • Creating a Power BI dashboard

    After completing this module, students will be able to:

    • Use Power Bi desktop to create interactive data visualizations.
    • Manage a power BI solution.

     

    Module 7: Direct Connectivity
    This module describes various connectivity options using Power BI.
    Lessons

    • Cloud data
    • Connecting to analysis services

    Lab : Direct Connectivity

    • Direct connectivity from Power BI desktop
    • Direct connectivity from the Power BI service

    After completing this module, students will be able to:

    • Use Power BI direct connectivity to access data in Azure SQL data warehouse, in addition to big data sources such as Hadoop
    • Use Power BI with SQL Server Analysis Services data, including Analysis services modles running in multidimentional mode.

     

    Module 8: The Developer API
    This module describes the developer API within Power BI.
    Lessons

    • The developer API
    • Custom visuals

    Lab : Using the developer API

    • Using custom visuals

    After completing this module, students will be able to:

    • Describe the developer API.
    • Use the developer API to create custom visuals.

     

    Module 9: Power BI mobile app
    This module describes the Power BI mobile app.
    Lessons

    • Power BI mobile apps
    • Using the Power BI mobile app
    • Power BI embedded

    After completing this module, students will be able to:

    • Describe the Power BI mobile app.
    • Download and use the Power BI mobile app.
    • Describe Power BI embedded and when you would want to use it.

     

    Course Schedule

    08 Feb 2021 to 10 Feb 2021
    29 Mar 2021 to 31 Mar 2021
    10 May 2021 to 12 May 2021
    28 Jun 2021 to 30 Jun 2021
    • Description
    • Curriculum
    • Instructors
    $1,605.00
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