Power BI Bespoke Boot Camp Course for Mozal

(See below also for DA-100 requirements check list) 

INTERNAL ONLY

Approach: 

(For the Future, track the requirements for DA-100 exam as well)

1. A 3-day Power BI course that will not make use of the Knight/Pearson manual. 
3. The course should have references to the Microsoft web pages and structure of their presentation. This will enable us to keep up to date with the latest developments automatically 
   
5. Use the Northwind data (Mark had no objections in his email re Zando) 
   
1. I want to use this as the schema is easy to understand. I want to focus the attention of the student on Power BI, not on the intricacies of the data model. 
   
2. Using Northwind also ties in very well with SQL Beginners. We recommend in the SQL course that they take Power BI, and vice versa. Using the same data will provide a narrative over the courses.
   

BESPOKE SECTION - ZandoCLone the completed course and add Zando material. In parallel with using Northwind, make use of the Zando data

• There is a lot to show them in terms of normalization 
  
• We can check which visualizations to use for the Zando data
  
• Have  meeting with MichaelC to get access to the Zando data (BernardN – 29-Jan-21 )
• Have  a short workshop with MichaelC. Show all the visualizations and to get his requirements on where to use specific visualization on the Zando data (BernardN: 5-Feb-21)

DA-100

https://query.prod.cms.rt.microsoft.com/cms/api/am/binary/RE4qlRu

Skills Measured

NOTE: The bullets that appear below each of the skills measured are intended to illustrate how

we are assessing that skill. This list is not definitive or exhaustive.

NOTE: Most questions cover features that are General Availability (GA). The exam may contain

questions on Preview features if those features are commonly used.

Prepare the Data (20-25%)

Get data from different data sources

 identify and connect to a data source

 change data source settings

 select a shared dataset or create a local dataset

 select a storage mode

 choose an appropriate query type

 identify query performance issues

 use Microsoft Dataversethe Common Data Service (CDS)

 use parameters

 use or create a PBIDS file

 use or create a data flow

Profile the data

 identify data anomalies

 examine data structures

 interrogate column properties

 interrogate data statistics

Clean, transform, and load the data

 resolve inconsistencies, unexpected or null values, and data quality issues

 apply user-friendly value replacements

 identify and create appropriate keys for joins

 evaluate and transform column data types

 apply data shape transformations to table structures

 combine queries

 apply user-friendly naming conventions to columns and queries

 leverage Advanced Editor to modify Power Query M code

 configure data loading

 resolve data import errors

Model the Data (25-30%)

Design a data model

 define the tables

 configure table and column properties

 define quick measures

 flatten out a parent-child hierarchy

 define role-playing dimensions

 define a relationship's cardinality and cross-filter direction

 design the data model to meet performance requirements

 resolve many-to-many relationships

 create a common date table

 define the appropriate level of data granularity

Develop a data model

 apply cross-filter direction and security filtering

 create calculated tables

 create hierarchies

 create calculated columns

 implement row-level security roles

 set up the Q&A feature

Create measures by using DAX

 use DAX to build complex measures

 use CALCULATE to manipulate filters

 implement Time Intelligence using DAX

 replace numeric columns with measures

 use basic statistical functions to enhance data

 create semi-additive measures

Optimize model performance

 remove unnecessary rows and columns

 identify poorly performing measures, relationships, and visuals

 improve cardinality levels by changing data types

 improve cardinality levels through summarization

 create and manage aggregations

Visualize the Data (20-25%)

Create reports

 add visualization items to reports

 choose an appropriate visualization type

 format and configure visualizations

 import a custom visual

 configure conditional formatting

 apply slicing and filtering

 add an R or Python visual

 configure the report page

 design and configure for accessibility

 configure automatic page refresh

Create dashboards

 set mobile view

 manage tiles on a dashboard

 configure data alerts

 use the Q&A feature

 add a dashboard theme

 pin a live report page to a dashboard

 configure data classification

Enrich reports for usability

 configure bookmarks

 create custom tooltips

 edit and configure interactions between visuals

 configure navigation for a report

 apply sorting

 configure Sync Slicers

 use the selection pane

 use drillthrough and cross filter

 drilldown into data using interactive visuals

 export report data

 design reports for mobile devices

Analyze the Data (10-15%)

Enhance reports to expose insights

 apply conditional formatting

 apply slicers and filters

 perform top N analysis

 explore statistical summary

 use the Q&A visual

 add a Quick Insights result to a report

 create reference lines by using Analytics pane

 use the Play Axis feature of a visualization

 personalize visuals

Perform advanced analysis

 identify outliers

 conduct Time Series analysis

 use groupings and binnings

 use the Key Influencers to explore dimensional variances

 use the decomposition tree visual to break down a measure

 apply AI Insights

Deploy and Maintain Deliverables (10-15%)

Manage datasets

 configure a dataset scheduled refresh

 configure row-level security group membership

 providing access to datasets

 configure incremental refresh settings

 promote or certify Power BI content a dataset

 identify downstream dataset dependencies

Create and manage workspaces

 create and configure a workspace

 recommend a development lifecycle strategy

 assign workspace roles

 configure and update a workspace app

 publish, import, or update assets in a workspace

 apply sensitivity labels to workspace content

 use deployment pipelines