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Excel Fu: Excel for Researchers at UNSW Kensington

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Location

UNSW Kensington

Computer Lab G16-G17, ground floor, Wallace Wurth Building, map ref C27

University of New South Wales

Kensington, NSW 2052

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Event description

Description

Why do this course?

Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there's too much of it. Frequently, it has errors. We'll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data.

While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data.

Who should take this course?

This course is suitable for all researchers and research students from any discipline. The course will use a sample dataset from meteorology to demonstrate Excel's features and produce charts, but the techniques taught will be applicable to any field.

You'll learn how to:

  • Find, import and ‘clean up’ messy research data

  • Organise, format and name your data in Excel

  • Analyse your data (answer research questions)

  • Interpret your data (filtering, conditional formatting)

  • Perform calculations on your data (max, min, average)

  • Extract significant findings from your data (pivot tables)

  • Manipulate your data (data conversion, dates and times)

  • Create graphs and charts to visualise your data

The Intersect approach to training

At Intersect, we work closely with our member universities to develop and deliver training that targets the day-to-day software and technology problems that researchers face. We deliver hands-on courses in a relaxed setting with knowledgeable, helpful trainers who are themselves researchers and who know how researchers work.

Download the course outline.

For more information visit Learn.intersect.org.au

Date and Time

Location

UNSW Kensington

Computer Lab G16-G17, ground floor, Wallace Wurth Building, map ref C27

University of New South Wales

Kensington, NSW 2052

View Map

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