70-779:Analyzing & Visualizing Data With Excel:Real Exam MCQ
Course
70-779:ANALYZING & VISUALIZING DATA WITH EXCEL:REAL EXAM MCQ
Category
Microsoft 70-779IT Training
Eligibility
Job Aspirants
Mode
Online and Offline Classes
Batches
Week Days and Week Ends
Duration :
60 Days
Microsoft 70-779 Objectives
•How to work with Microsoft 70-779 Tool.
•Explore how to use existing features in Microsoft 70-779 .Learn how to use conditional statements in Microsoft 70-779 .
•How to handle Microsoft 70-779 script and code in apps.
•Learn How to interact with Microsoft 70-779 , Step By Step
•You’ll learn how to solve well known problems in Microsoft 70-779 .
•An easy way to learn one of the widely used Microsoft 70-779
•Learn Microsoft 70-779 . Become Developer in Test and Kick-start your Career in IT.
•This course is designed for any graduates as well as Software Professionals who are willing to learn Microsoft 70-779 .
70-779:Analyzing & Visualizing Data with Excel:Real Exam MCQ Course Highlights
•Post training offline support available
•Certificate after completion of the course
•We assist on Internship on Real-Time Project
•We Provide the Course Certificate of completion
•Facility of Lab on cloud available (based on booking)
•Hands On Experience – will be provided during the course to practice
•Affordable fee structure to help as many students strive career in IT industry
•This Instructor-led classroom course is designed with an aim to build theoretical knowledge supplemented by ample hands-on lab exercises
Who are eligible for Microsoft 70-779
•Architect, Lead, Developer, Project Manager, Verification Engineer, Rtl Design, Physical Design, L3 Support Engineer, Cloud Computing, Big Data Engineer
•It Software, .net c# asp.net, Java Developer, technical support engineer, Automation Testing, Software Engineer, java, Basis, Sap Basis, Netweaver, Solution
•Java, .Net, Selenium, QTP, DBA, PHP, Neoload, Manual Testing, Rest, Soap, Web Services, SQL, UI, Peoplesoft, Cloud
•Qa, Ui/ux, Java Developer, Java Architect, C++/qt, Php, Lamp, Api, J2ee, Java, Soa, Esb, Middleware, Bigdata Achitect, Hadoop Architect, Deep
•Solution Architect, Technical Lead, Software Developer, Testing Engineer, Project Manager, sap, sas, sql, magento, wordpress, laravel, mysql, Payment Gateways
•
70-779:ANALYZING & VISUALIZING DATA WITH EXCEL:REAL EXAM MCQ
Who should take this exam? Candidates for this exam should have a strong understanding of how to use Microsoft Excel to perform data analysis. Candidates should be able to consume, transform, model, and visualize data in Excel. Candidates should also be able to configure and manipulate data in PowerPivot, PivotTables, and PivotCharts. Candidates may include BI professionals, data analysts, and other roles responsible for analyzing data with Excel. Consume and Transform Data by Using Microsoft Excel (30-35%) Import from data sources Connect to and import from databases, files, and folders; connect to Microsoft SQL Azure, Big Data, SQL Server Analysis Services (SSAS), and Power Query; import supported file types; import from other Excel workbooks; link to data from other sources Perform data transformations Design and implement basic and advanced transformations, apply business rules, change data format to support visualization, filter data, format data Cleanse data Manage incomplete data; handle data received as a report; remove unnecessary rows, columns, and data; remove repeating headers Model Data (35-40%) Create and optimize data models Manage data relationships, optimize models for reporting, manually enter data, perform Get & Transform, create automatic relationships, create manual relationships Create calculated columns, measures, and tables Create DAX queries, create DAX formulas, create Excel formulas Create performance KPIs Calculate the actual value, calculate the target value, calculate actual to target values Create hierarchies Create date hierarchies, create business hierarchies, resolve hierarchy issues Visualize Data (30-35%) Create and manage PivotTables Format PivotTables and PivotCharts, format calculated measures, filter data, group and summarize data Create and manage PivotCharts Select a chart type, format calculated measures, filter data; group and summarize data, use slicers Interact with Power BI Import Excel data from Power BI, manipulate Excel data in Power BI
Eligiblity for Certification :
Candidates for this exam should have a strong understanding of how to use Microsoft Excel to perform data analysis Candidates should be able to consume, transform, model, and visualize data in Excel. Candidates should also be able to configure and manipulate data in PowerPivot, PivotTables, and PivotCharts. Candidates may include BI professionals, data analysts, and other roles responsible for analyzing data with Excel.Our Locations
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