Excel 2016: Core Data Analysis, Manipulation, and Presentation Exam Dumps

77-727 Exam Format | Course Contents | Course Outline | Exam Syllabus | Exam Objectives

Successful candidates for the Microsoft Office Specialist Excel 2016 certification exam have a fundamental understanding of the Excel environment and the ability to complete tasks independently. They know and demonstrate the correct application of the principle features of Excel 2016. Candidates create and edit a workbook with multiple sheets, and they use a graphic element to represent data visually. Workbook examples include professional-looking budgets, financial statements, team performance charts, sales invoices, and data-entry logs.

- Create and manage worksheets and workbooks (30-35%)
- Manage data cells and ranges (15-20%)
- Create tables (15-20%)
- Perform operations with formulas and functions (10-15%)
- Create charts and objects (15-20%)

Create and manage worksheets and workbooks (30-35%)
Create worksheets and workbooks
Create a workbook, import data from a delimited text file, add a worksheet to an existing workbook, copy and move a worksheet
Navigate in worksheets and workbooks
Search for data within a workbook; navigate to a named cell, range, or workbook element; insert and remove hyperlinks
Format worksheets and workbooks
Change worksheet tab color, rename a worksheet, change worksheet order, modify page setup, insert and delete columns or rows, change workbook themes, adjust row height and column width, insert headers and footers
Customize options and views for worksheets and workbooks
Hide or unhide worksheets, hide or unhide columns and rows, customize the Quick Access Toolbar, change workbook views, change window views, modify document properties, change magnification by using zoom tools, display formulas
Configure worksheets and workbooks for distribution
Set a print area, save workbooks in alternative file formats, print all or part of a workbook, set print scaling, display repeating row and column titles on multipage worksheets, inspect a workbook for hidden properties or personal information, inspect a workbook for accessibility issues, inspect a workbook for compatibility issues
Manage data cells and ranges (15-20%)
Replace data; cut, copy, or paste data; paste data by using special paste options; fill cells by using Auto Fill; insert and delete cells
Format cells and ranges
Merge cells, modify cell alignment and indentation, format cells by using Format Painter, wrap text within cells, apply number formats, apply cell formats, apply cell styles
Summarize and organize data
Insert sparklines, outline data, insert subtotals, apply conditional formatting
Create tables (15-20%)
Create and manage tables
Create an Excel table from a cell range, convert a table to a cell range, add or remove table rows and columns
Manage table styles and options
Apply styles to tables, configure table style options, insert total rows Filter and sort a table
Filter records, sort data by multiple columns, change sort order, remove duplicate records
Perform operations with formulas and functions (10-15%)
Summarize data by using functions
Insert references, perform calculations by using the SUM function, perform calculations by using MIN and MAX functions, perform calculations by using the COUNT function, perform calculations by using the AVERAGE function
Perform conditional operations by using functions
Perform logical operations by using the IF function, perform logical operations by using the SUMIF function, perform logical operations by using the AVERAGEIF function, perform statistical operations by using the COUNTIF function
Format and modify text by using functions
Format text by using RIGHT, LEFT, and MID functions; format text by using UPPER, LOWER, and PROPER functions; format text by using the CONCATENATE function
Create charts and objects (15-20%)
Create a new chart, add additional data series, switch between rows and columns in source data, analyze data by using Quick Analysis
Format graphic elements
Resize charts, add and modify chart elements, apply chart layouts and styles, move charts to a chart sheet
Insert and format objects
Insert text boxes and shapes, insert images, modify object properties, add alternative text to objects for accessibility

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Why business schools need to train Experimentation

a mixture of the availability of massive quantities of customer records and enhanced computing vigour, plus the fact that it’s simpler and more affordable to randomize contributors than ever before, has created the best situations for the upward push of what’s being known as the “experimental revolution” in business. As corporations more and more demand actionable facts to inform their choices with the aid of leveraging experiments, MBA courses are primarily smartly-positioned to equip future leaders with the indispensable abilities. The authors present three leading moves that enterprise faculties should soak up order to most appropriate position students to realize their full skills as leaders of the experimental revolution. whereas they’re including lessons in cybersecurity, AI/computer getting to know, and fintech, company colleges shouldn’t forget to move again to fundamentals. they have got stood the check of time for producing professional and insightful consequences in science and philosophy.

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  • “In a dramatic departure from its ancient position as an esoteric tool for educational research, the randomized controlled trial has gone mainstream.” — Michael Luca and Max H. Bazerman

    A basic shift within the way agencies make decisions is taking vicinity. traditionally, running experiments and abiding by means of the scientific formulation has been the domain of scientists, however managers throughout industries have been adopting cultures of experimentation to inform their choices at an extraordinary scale.

    At Microsoft’s Bing, for example, approximately 80% of product alterations are in the beginning tested as controlled experiments. eBay now saves many thousands and thousands of bucks per yr in advertising thanks to a simple in-condominium study, which published that buying paid search ads wasn’t profitable for them. Google conducts experiments to look which interview questions are without doubt to correspond with on-the-job performance, and then it closely weights candidates’ answers to these questions.

    a mixture of the availability of huge amounts of purchaser facts and more suitable computing energy, plus the incontrovertible fact that it’s more convenient and more cost-effective to randomize members than ever earlier than, has created the excellent circumstances for the rise of what’s being referred to as the “experimental revolution” in business. As organizations more and more demand actionable statistics to notify their decisions by way of leveraging experiments, MBA programs need to do extra to equip future leaders with the integral advantage.

    The Case for Experimentation

    The price of experiments in nonscientific groups is rather high. as an alternative of calling in managers to solve each puzzle or dispute significant and small (may still we make the heritage yellow or blue? may still we increase fundamental performance or add new features? Are personnel thoroughly supported and incentivized to provide speedy responses?), teams can run experiments and measure consequences of activity and, armed with new information, make a decision for themselves, or at least put ahead a concept grounded in imperative suggestions. The records also give tangible deliverables to display to stakeholders to exhibit progress and accountability.

    Experiments spur innovation. they could supply proof of thought and a level of self assurance in new concepts earlier than taking greater dangers and scaling up. When performed neatly, with records gathered and interpreted objectively, experiments can additionally supply a corrective for faulty intuition, inaccurate assumptions, or overconfidence. The scientific formulation (which powers experiments) is the gold ordinary of equipment to fight bias and reply questions objectively.

    but as further and further companies are embracing a tradition of experimentation, they face a big problem: ability. Experiments are tricky to do smartly. Some challenges encompass particular statistical abilities, clear difficulty definition, and interpretation of the results. And it’s not sufficient to have the skillset. Experiments should ideally be completed iteratively, building on prior potential and dealing toward deeper figuring out of the question at hand. There are also the considerations of managers’ preparedness to override their intuition when information disagree with it, and their capacity to navigate hierarchy and paperwork to put into effect changes in keeping with the experiments’ outcomes.

    Some businesses seem to be hiring small armies of PhDs to satisfy these competency challenges. (Amazon, for instance, employs greater than one hundred PhD economists.) This isn’t dazzling, considering PhDs acquire years of coaching — and that the shrinking tenure-song market in academia has created a glut of PhDs. other organizations are establishing employees in-condominium, working towards them in slim, industry-selected methodologies. as an example, familiar Mills recently employed for his or her innovator incubator neighborhood, called g-works, advertising for personnel who are “the use of entrepreneurial knowledge and an experimental mindset” in what they called a “verify and learn environment, with speedy experimentation to validate or invalidate assumptions.” different businesses — including fidelity, LinkedIn, and Aetna — have hired consultants to habits experiments, amongst them Irrational Labs, cofounded by using Duke college’s Dan Ariely and the behavioral economist Kristen Berman.

    The bottom line is that groups today are searching for the person who can do it all — design and run experiments, be numerically literate to interpret the results, make the most of their interpersonal savvy to implement data-pushed change, and be inspiring and visionary satisfactory to guide a way of life of experimentation. These potential, which can be on the core of what enterprise college students should know when they graduate, demand training in experimentation and the scientific method. however company schools aren’t placing that practising at the core of their curricula. What can they do in another way?

    enforcing Experimentation in enterprise schools

    Some enterprise colleges do train experimentation to a limited extent. Professors who train marketing lessons, as an example, regularly cowl basic forms of A/B trying out (e.g., examining whether an advertisement versus a public service announcement leads to greater product purchases and no matter if the ad crusade became a great funding). Some professors additionally teach “booking.com,” a case by means of Thomke and Beyersdorfer about a commute-accommodations company that has an exemplary lifestyle of experimentation, empowering employees to run lots of experiments per day. besides tradition, the case teaches some nuts and bolts of experiments, including terminology (e.g., p-price, null speculation, category 1 Error). however this is only 1 task and one case — and the instructing notes to “reserving.com” even warn instructors that almost all enterprise-college college students “could have little or no adventure with online experimentation.”

    one of us (Elizabeth) devotes time to experimentation in a class called Managing and leading in groups within the PMBA software on the David Eccles college of company, at the college of Utah: each 12 months in the category, she asks college students to damage into organizations and each design an scan, which they then discuss as a class. students taking half in this exercise be taught beneficial lessons about experimentation, but the class itself isn’t committed to the use of experiments in managerial choices. there is one first rate path that does this, taught at Harvard company school by means of Michael Luca, however it isn’t provided each year. instructing proper experimentation is neither commonplace nor frequent in business colleges.

    Doing more wouldn’t be tough. through their institution libraries, MBA students already have access to a full posted literature that they can be the use of to assemble and examine concepts. They also usually have Qualtrics accounts or an identical, which permit them to create surveys, and that they can access statistical applications to research facts. in the event that they have been taught the basics in a company analysis strategies category, they could companion with corporations while nevertheless in school to get journey with experiments within the field whereas additionally presenting a benefit to the business.

    An MBA-stage direction in experimentation may still encompass foundational points of the scientific components, which may later be adapted for the specifics of a given firm or business. The basics consist of:

  • a way to kind testable, falsifiable analysis questions and construct on what has been achieved already
  • the way to operationalize constructs and define initiatives
  • how to consider about random assignment to situations and threats to the validity of the scan
  • Why a clear workflow can permit suit scrutiny and assist protect the scan’s integrity
  • the way to do inferential facts
  • standard, we agree with there are three main moves that company schools should take in order to ultimate position college students to recognize their full talents as leaders of the experimental revolution. First, students on the way to mine academic literature efficaciously and construct on insights from prior experimental work, then solidify this as considered one of many resources they flip to when producing value. second, teach the scientific formula and the way to conduct effective experiments within the company world the use of up-to-date optimum practices. eventually, give students a chance to apply these strategies whereas they’re in faculty, so that they’ll be extra prone to observe them once they go away the classroom and enter the office.

    however some questions stay: How integrated into the MBA curriculum can or may still experimental research strategies be? Is a single classification enough? should a analysis apprenticeship at an organization or with an academic researcher be required? These are premiere answered by using the college within each and every college, preserving in intellect the school’s mission, present curriculum, scholar body, and business/supplier partners.

    for centuries, in all styles of knowledgeable arenas, we’ve relied on experimentation and the scientific method to generate legitimate and insightful consequences. however all too frequently in enterprise nowadays, as we try to deal with the onslaught of trade, we count on expensive and wild instinct-based determination making, and it’s costing us. It’s time for us — with the aid of MBA courses — to get again to the fundamentals.


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