1. USA
  2. Professional
  3. Data Science
  4. Big Data Analytics

Big Data Analytics

by PM Resources Claim Listing

This 2-Day instructor-led course provides individuals with the knowledge and skills to analyse data with Power BI.

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img Duration

2 Days

Course Details

This 2-Day instructor-led course provides individuals with the knowledge and skills to analyse data with Power BI.

 

Objectives:

  • Describe self-service BI
  • Describe the Power BI suite of products
  • Connect to data sources and optimise data models

 

Prerequisites:

  • In addition to their professional experience, participants who attend this training should already have the following technical knowledge:
  • Basic knowledge of the Microsoft
  • Windows operating system and its core functionality.
  • Basic knowledge of data warehouse schema topology (including star and snowflake schemas).
  • Some exposure to basic programming concepts (such as looping and branching).
  • An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable.
  • Familiarity with Microsoft Office applications – particularly Excel.

 

Outline Modules:

  • Module 1: Introduction To Self-service Bi Solutions
  • Introduction to Business Intelligence
  • Introduction to Data Analysis
  • Introduction to Data Visualisation
  • 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
  • Module 2: Introducing Power Bi
  • Power BI
  • The Power BI Service
  • Lab: Creating a Power BI Dashboard
  • Connecting to Power BI Data
  • Create a Power BI Dashboard
  • Module 3: Power Bi Data
  • 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
  • Module 4: Shaping And Combining Data
  • Power BI Desktop Queries
  • Shaping Data
  • Combining Data
  • Lab: Shaping and Combining Data
  • Shape Power BI Data
  • Combine Power BI Data
  • Module 5: Modelling Data
  • Relationships
  • DAX Queries
  • Calculations and Measures
  • Lab: Modelling Data
  • Create Relationships
  • Calculations
  • Module 6: Interactive Data Visualizations
  • Creating Power BI Reports
  • Managing a Power BI Solution
  • Lab: Shaping and Combining Data
  • Connecting to Power BI Data
  • Building Power BI Reports
  • Creating a Power BI Dashboard
  • Module 7: Direct Connectivity
  • Cloud Data
  • Connecting to Analysis Services
  • Lab: Direct Connectivity
  • Direct Connections to Power BI
  • Module 8: Development With Power Bi
  • The Power BI API
  • Custom Visuals
  • Lab: Using Marketplace Visualisations
  • Using a Custom Visualisation
  • Module 9: Power Bi Mobile
  • Power BI Mobile Apps
  • Using the Power BI Mobile App

At PM Resources, we know the importance of seeing the big picture but alongside the big picture, we also develop an understanding specific to your needs - to put practical insights to work for you and your organisation in the most relevant way. We are committed to long-term relationships with you.

We believe it is the only way to understand your needs, deliver trusted advice and create lasting value. So we work with you to build your business for the future.

From strategies to daily operations support - by anticipating your changing needs, we deliver the solutions that help you make your business more efficient and productive. Customised advice from a practical perspective, working in partnership with organisations.

 

Mission:

With this mission, PM Resources believes in the ability to work together with you toward a common vision

PM Resources is the fuel that allows you to attain uncommon results.

To direct individual accomplishment towards organisational objectives, assisting you in moving from your business challenges and goals to capturing maximum value in your business solutions.

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  • Kuala Lumpur Branch

    Suite 7-5 Level 7 Wisma UOA II 21, Kuala Lumpur

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