02446cam a2200289 i 45000010009000000050017000090080041000260100017000670200031000840350013001150400032001280420008001600500026001681000030001942450071002242460052002952640113003473000039004603360026004993370028005253380027005535040051005805201431006316300039020626500031021016550024021322255036420260209112245.0220517s2022    njua     b    001 0 eng    a  2022938757  a9780137901234q(paperback)  a22550364  aDLCbengerdacDLCdDLCdAU  apcc00aQA76.9.I52bM374 20231 aMaslyuk, Daniil,eauthor.10aExam Ref PL-300 Microsoft power BI data analyst /cDaniil Maslyuk.14aMicrosoft power BI data analyst Exam Ref PL-300 1aHoboken, NJ :bpublished with the authorization of Microsoft Corporation by Pearson Education, Inc.,c©2023  a208 pages billustrations ;c24 cm  atextbtxt2rdacontent  aunmediatedbn2rdamedia  avolumebnc2rdacarrier  aIncludes bibliographical references and index.  aPrepare for Microsoft Exam PL-300 and help demonstrate your real-world ability to deliver actionable insights with Power BI by leveraging available data and domain expertise; to provide meaningful business value through clear data visualizations; to enable others to perform self-service analytics, and to deploy and configure solutions for consumption. Designed for data analysts, business users, and other professionals, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified: Power BI Data Analyst Associate level. Exam PL-300 focuses on knowledge needed to get data from different data sources; clean, transform, and load data; design and develop data models; create model calculations with DAX; optimize model performance; create reports and dashboards; enhance reports for usability and storytelling; identify patterns and trends; and manage files, datasets, and workspaces. Passing this exam fulfills your requirements for the Microsoft Certified: Power BI Data Analyst Associate certification, demonstrating your understanding of data repositories and data processes, and your skills in designing and building scalable data models, cleaning and transforming data, enabling advanced analytic capabilities to provide meaningful business value, and collaborating with key stakeholders to deliver relevant insights based on identified business requirements
00aMicrosoft Power BI (Computer file) 0aInformation visualization. 0aPrint books.2local