
Exam Ref DA-100 Analyzing Data with Microsoft Power BI
Daniil Maslyuk(Author)
Addison Wesley (Publisher)
Published on 1. July 2021
Book
Paperback/Softback
288 pages
978-0-13-681968-4 (ISBN)
Shipment within 15-20 days
Description
Prepare for Microsoft Exam DA-100 and help demonstrate your real-world mastery of Power BI data analysis and visualization. Designed for experienced data analytics professionals ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified Associate level.
Focus on the expertise measured by these objectives:
Prepare the data
Model the data
Visualize the data
Analyze the data
Deploy and maintain deliverables
This Microsoft Exam Ref:
Organizes its coverage by exam objectives
Features strategic, what-if scenarios to challenge you
Assumes you are an experienced business intelligence professional or data analyst, or have a similar role
Analyzing Data with Microsoft Power BI About the Exam
Exam DA-100 focuses on skills and knowledge needed to acquire, profile, clean, transform, and load data; design and develop data models; create measures with DAX; optimize model performance; create reports and dashboards; enrich reports for usability; enhance reports to expose insights; perform advanced analysis; manage datasets, and create and manage workspaces.
About Microsoft Certification
Passing this exam earns your Microsoft Certified: Data Analyst Associate certification, demonstrating your ability to help businesses maximize the value of data assets by using Microsoft Power BI.
As subject matter experts, Data Analysts design and build scalable data models, clean and transform data, and enable advanced analytic capabilities that provide meaningful business value through easy-to-comprehend data visualizations.
See full details at: microsoft.com/learn
Focus on the expertise measured by these objectives:
Prepare the data
Model the data
Visualize the data
Analyze the data
Deploy and maintain deliverables
This Microsoft Exam Ref:
Organizes its coverage by exam objectives
Features strategic, what-if scenarios to challenge you
Assumes you are an experienced business intelligence professional or data analyst, or have a similar role
Analyzing Data with Microsoft Power BI About the Exam
Exam DA-100 focuses on skills and knowledge needed to acquire, profile, clean, transform, and load data; design and develop data models; create measures with DAX; optimize model performance; create reports and dashboards; enrich reports for usability; enhance reports to expose insights; perform advanced analysis; manage datasets, and create and manage workspaces.
About Microsoft Certification
Passing this exam earns your Microsoft Certified: Data Analyst Associate certification, demonstrating your ability to help businesses maximize the value of data assets by using Microsoft Power BI.
As subject matter experts, Data Analysts design and build scalable data models, clean and transform data, and enable advanced analytic capabilities that provide meaningful business value through easy-to-comprehend data visualizations.
See full details at: microsoft.com/learn
More details
Series
Language
English
Place of publication
Boston
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
Dimensions
Height: 230 mm
Width: 191 mm
Thickness: 15 mm
Weight
473 gr
ISBN-13
978-0-13-681968-4 (9780136819684)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions

Daniil Maslyuk
Exam Ref PL-300 Power BI Data Analyst
Book
11/2022
1st Edition
Addison Wesley
€37.49
Shipment within 15-20 days
Previous edition

Book
09/2018
Microsoft Press
€37.50
Shipment within 3-4 weeks
Person
DANIIL MASLYUK is an independent business intelligence consultant, trainer, and speaker who specializes in Microsoft Power BI. Daniil blogs at xxlbi.com and tweets as @DMaslyuk.
Content
1. Prepare the Data
2. Model the Data
3. Visualize the Data
4. Analyze the Data
5. Deploy and Maintain Deliverables
2. Model the Data
3. Visualize the Data
4. Analyze the Data
5. Deploy and Maintain Deliverables