Description

Duration

3 Days

18 CPD hours

This course is intended for

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. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises.

This course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will show how to access and process data from a range of data sources including both relational and non-relational sources. Finally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution.

Prerequisites

Understanding core data concepts.

Knowledge of working with relational data in the cloud.

Knowledge of working with non-relational data in the cloud.

Knowledge of data analysis and visualization concepts.

DP-900T00 Microsoft Azure Data Fundamentals is recommended

1 - Discover data analysis

Overview of data analysis

Roles in data

Tasks of a data analyst

2 - Get started building with Power BI

Use Power BI

Building blocks of Power BI

Tour and use the Power BI service

3 - Get data in Power BI

Get data from files

Get data from relational data sources

Create dynamic reports with parameters

Get data from a NoSQL database

Get data from online services

Select a storage mode

Get data from Azure Analysis Services

Fix performance issues

Resolve data import errors

4 - Clean, transform, and load data in Power BI

Shape the initial data

Simplify the data structure

Evaluate and change column data types

Combine multiple tables into a single table

Profile data in Power BI

Use Advanced Editor to modify M code

5 - Design a semantic model in Power BI

Work with tables

Create a date table

Work with dimensions

Define data granularity

Work with relationships and cardinality

Resolve modeling challenges

6 - Add measures to Power BI Desktop models

Create simple measures

Create compound measures

Create quick measures

Compare calculated columns with measures

7 - Add calculated tables and columns to Power BI Desktop models

Create calculated columns

Learn about row context

Choose a technique to add a column

8 - Use DAX time intelligence functions in Power BI Desktop models

Use DAX time intelligence functions

Additional time intelligence calculations

9 - Optimize a model for performance in Power BI

Review performance of measures, relationships, and visuals

Use variables to improve performance and troubleshooting

Reduce cardinality

Optimize DirectQuery models with table level storage

Create and manage aggregations

10 - Design Power BI reports

Design the analytical report layout

Design visually appealing reports

Report objects

Select report visuals

Select report visuals to suit the report layout

Format and configure visualizations

Work with key performance indicators

11 - Configure Power BI report filters

Apply filters to the report structure

Apply filters with slicers

Design reports with advanced filtering techniques

Consumption-time filtering

Select report filter techniques

Case study - Configure report filters based on feedback

12 - Enhance Power BI report designs for the user experience

Design reports to show details

Design reports to highlight values

Design reports that behave like apps

Work with bookmarks

Design reports for navigation

Work with visual headers

Design reports with built-in assistance

Tune report performance

Optimize reports for mobile use

13 - Perform analytics in Power BI

Explore statistical summary

Identify outliers with Power BI visuals

Group and bin data for analysis

Apply clustering techniques

Conduct time series analysis

Use the Analyze feature

Create what-if parameters

Use specialized visuals

14 - Create and manage workspaces in Power BI

Distribute a report or dashboard

Monitor usage and performance

Recommend a development life cycle strategy

Troubleshoot data by viewing its lineage

Configure data protection

15 - Manage semantic models in Power BI

Use a Power BI gateway to connect to on-premises data sources

Configure a semantic model scheduled refresh

Configure incremental refresh settings

Manage and promote semantic models

Troubleshoot service connectivity

Boost performance with query caching (Premium)

16 - Create dashboards in Power BI

Configure data alerts

Explore data by asking questions

Review Quick insights

Add a dashboard theme

Pin a live report page to a dashboard

Configure a real-time dashboard

Set mobile view

17 - Implement row-level security

Configure row-level security with the static method

Configure row-level security with the dynamic method

Additional course details:

Nexus Humans PL-300T00: Microsoft Power BI Data Analyst training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward.

This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts.

Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.

While we feel this is the best course for the PL-300T00: Microsoft Power BI Data Analyst course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.

Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

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PL-300T00 Microsoft Power BI Data Analyst

By Nexus Human

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