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70-779:Analyzing & Visualizing Data With Excel:Real Exam MCQ

Course

70-779:ANALYZING & VISUALIZING DATA WITH EXCEL:REAL EXAM MCQ

Category

Microsoft 70-779Computer Training

Eligibility

Working Professionals and Freshers

Mode

Online and Classroom Sessions

Batches

Week Days and Week Ends

Duration :

45 Days

Microsoft 70-779 What will you learn?

•How to work with Microsoft 70-779 Tool.
•Learn Microsoft 70-779 proficiently in a structured fashion.
•Improve your front end design and development skills
•Learn how to structure a large-scale project using Microsoft 70-779 .
•Learn the Basic Concepts of Microsoft 70-779 with Practical Examples
•You’ll learn how to solve well known problems in Microsoft 70-779 .
•Learn the fundamentals of Microsoft 70-779 and get trained on analyzing data
•you will be confident in your skills as a Developer / designer
•Amazing Step by Step Guide for Beginners to Learn Microsoft 70-779 Language Quick and Simple!

70-779:Analyzing & Visualizing Data with Excel:Real Exam MCQ Course Highlights

•We are Known for High-Quality Training
•Resume & Interviews Preparation Support
•Fast Track course available with best Fees
•Personal attention and guidance for every student
•60+ Hours of Intensive Classroom & Online Sessions
•Project manager can be assigned to track candidates’ performance
•We provide one to one mentorship for the students and Working Professionals
• Our dedicated HR department will help you search jobs as per your module & skill set, thus, drastically reducing the job search time

Who are eligible for Microsoft 70-779

•c#, .net Technologies, java, J2ee, c++, director, vp, architect, Senior Architect, Sde1, Sde3, Engineering Manager, Python Developer
•Java Developer, Front End Developer, Visionplus Developer, Automation Testing, Selenium/ Tosca Testing, Functional Testing, Mainframe Developer, Connex
•Java Fullstack Developer, Java, Javascript, Data Structures, OOPS, Cassandra, NoSQL, Big Data, CI, XSLT, Maven, XML, Web Services, Microservices, SQL, Rest
•Qa, Ui/ux, Java Developer, Java Architect, C++/qt, Php, Lamp, Api, J2ee, Java, Soa, Esb, Middleware, Bigdata Achitect, Hadoop Architect, Deep
•webdesigner, informatica, datastage, teradata, mircostrategy, Sap Abap, QA Tester, Green hat tester, salesforce, asp.net developer, tibco, Hadoop

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.