5 Effective Data Analysis Expressions (DAX) Functions for Power BI Professionals | Power BI Tips

Опубликовано: 12 Октябрь 2024
на канале: NetCom Learning
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This video talks about the 5 effective DAX functions that can help Power BI professionals in improving their outcome in a great extent.

Below mentioned topics will be discussed in this video:

What is Power BI?
What is DAX?
Data Analytics Expressions (DAX): What are they and why are they needed?
Implementation of DAX Functions in Power BI

You can also watch out our free webinars here - http://tiny.cc/2yfqhz

Summary of our webinar

Power BI has changed the Business Intelligence landscape as it truly simplifies the task of crunching numbers, analyzing data, and visualizing patterns. You pick a field you want to analyze, drop it into the Power BI dashboard, and voila! Amazing insights are right in front of you.

But what if we want to dive deeper into our analysis? That’s where the power of Data Analysis Expressions (DAX) in Power BI comes into play.

This interactive session will introduce you to the powerful Microsoft Power BI tool, and then it will deep dive into five really useful data analysis expressions (DAX) and functions you can use in Power BI.

Agenda
Introduction to Business Intelligence (BI)
What is Power BI?
Data Analytics Expressions (DAX): What are they and why are they needed?
The 5 DAX Functions you MUST know
Q&A with the speaker

Learn to ANALYZE DATA WITH POWER BI https://www.netcomlearning.com/course...

Course Objectives
Ingest, clean, and transform data
Model data for performance and scalability
Design and create reports for data analysis
Apply and perform advanced report analytics
Manage and share report assets
Create paginated reports in Power BI

Who Should Attend
The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI.
Course Outline
Module 1: Introduction
The Power BI Portfolio
Identifying Tasks of the Data Analyst
Lab : Getting Started
Getting Started
Getting and Profiling Data
Data Sources
Storage Modes
Query Performance
Data Profiling
Lab : Preparing Data in Power BI Desktop
Prepare Data
Cleaning and Transforming Data
User-Friendliness
Combining Queries
Data cleaning and transformation
Advanced capabilities
Configuring data loading and resolving errors
Lab : Loading Data in Power BI Desktop
Loading Data
Designing a Data Model
Data modeling basics
Measures and Dimensions
Model Performance
Lab : Data Modeling in Power BI Desktop
Create Model Relationships
Configure Tables
Review the model interface
Create Quick Measures
Developing a Data Model
Common data modeling techniques
Adding columns to support the data model
Row-level security
Q&A considerations
Lab : Advanced Data Modeling
Create a man-to-many relationship
Enforce row-level security
Creating Model Calculations with DAX
Introduction to DAX
Creating tables and columns
Measures
The CALCULATE expression
Time-Intelligence functions
Lab : Using DAX in Power BI - Part 1
Create Calculated tables
Create Measures
Lab : Using DAX in Power BI - Part 2
Work with Filter content
Work with Time-Intelligence
Publish the Power BI Desktop file
Optimizing Model Performance
Fine-tune the data model
Cardinality
Identifying performance issues
Creating Reports
Selecting a visualization
Configuring visualizations
Formatting pages
Enhancing the report
Lab : Designing a report in Power BI Desktop - Part 1
Create a report
Sign in to the Power BI Service
Enhancing Reports for Usability and Performance
Bookmarks and navigation
Designing cohesive pages and interactions
Improving reports
Lab : Designing a report in Power BI Desktop - Part 2
Configure Sync Slicers
Configure Drill-through
Add Conditional Formatting
Add Bookmarks and Buttons
Explore the Report
Creating Dashboards
Dashboard design
Real-time dashboards
Dashboard enhancements
Lab : Creating a Power BI Dashboard
Create a Dashboard
Refresh the dataset
Review the dashboard
Enhancing Reports and Applying Advanced Analytics
Navigation
Basic analysis
Grouping, binning, and clustering
Analysis over time
Advanced analysis
Lab : Data Analysis in Power BI Desktop
Create a report
Create a Scatter chart
Create a Forecast
Work with a Decomposition Tree
Work with Key Influencers
Managing and Sharing Power BI Assets
Dataset management
Enhancing datasets
Configure row-level security
Create and Manage workspaces
Enhancing datasets and reports in the workspace
Sharing and distributing content
Lab : Publishing and Sharing Power BI Content
Configure dataset security
Share a Dashboard
Publish an APP
Working with Paginated Reports in Power BI
Introduction to Paginated Reports
Data sources and datasets
Adding visual elements
Enhancing and publishing reports
Lab : Creating a Paginated report
Getting Started
Develop the report

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