Data skills for media professionals : a basic guide / Ken Blake, Jason Reineke.

By:

Blake, Ken, 1965- [author.]

Contributor(s):

Reineke, Jason, 1979- [author.]

Material type: Text

TextPublisher: Hoboken, NJ : John Wiley & Sons, Inc., 2020Description: x, 209 pages : illustrations ; 23 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9781119118978
9781119119067

Subject(s):

LOC classification:

PN 4784.E5 B53 2020

Contents:

Basic data analysis -- Data visualization -- Making online maps -- Microsoft Excel and PivotTables -- Matching records with Excel's VLOOKUP -- Excel and inferential statistics -- Other functions, tools and techniques.

Summary: "Our students often tell us they don't like doing math. We tell them we don't, either. We've had the conversation often enough to know that students usually are referring to their dislike for the tedium and anxiety of completing such standard-issue math course tasks as solving 20 separate quadratic equations for 20 separate 'x' values, each with no meaning beyond indicating whether one can solve a quadratic equation. Neither of us ever liked doing that kind of thing, or ever will. But computers don't seem to mind it at all. Given valid data and correct instructions, they'll do it without complaint. They'll also do it with much more speed and accuracy than either of us could. So, we let computers do the math. We do the thinking. In this book we focus on getting computers to do the kinds of math behind the kinds of thinking that media professionals must do most often: thinking about what questions to ask, how to ask them, and how to evaluate and communicate the answers"-- Provided by publisher.

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Holdings
Item type	Current library	Shelving location	Call number	Status	Date due	Barcode
Book	TUP Manila Library	General Circulation Section-GF	PN 4784.E5 B53 2020 (Browse shelf(Opens below))	Available		P00033735

Includes bibliographical references and index.

"Our students often tell us they don't like doing math. We tell them we don't, either. We've had the conversation often enough to know that students usually are referring to their dislike for the tedium and anxiety of completing such standard-issue math course tasks as solving 20 separate quadratic equations for 20 separate 'x' values, each with no meaning beyond indicating whether one can solve a quadratic equation. Neither of us ever liked doing that kind of thing, or ever will. But computers don't seem to mind it at all. Given valid data and correct instructions, they'll do it without complaint. They'll also do it with much more speed and accuracy than either of us could. So, we let computers do the math. We do the thinking. In this book we focus on getting computers to do the kinds of math behind the kinds of thinking that media professionals must do most often: thinking about what questions to ask, how to ask them, and how to evaluate and communicate the answers"-- Provided by publisher.

Description based on print version record and CIP data provided by publisher; resource not viewed.

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