Learner Reviews & Feedback for Data Visualization in Excel by Macquarie University
4.9
stars
1,152 ratings
About the Course
In an age now driven by "big data", we need to cut through the noise and present key information in a way that can be quickly consumed and acted upon making data visualization an increasingly important skill. Visualizations need to not only present data in an easy to understand and attractive way, but they must also provide context for the data, tell a story, achieving that fine balance between form and function. Excel has many rivals in this space, but it is still an excellent choice, particularly if it's where your data resides. It offers a wealth of tools for creating visualizations other than charts and the chart options available are constantly increasing and improving, so the newer versions now include waterfall charts, sunburst diagrams and even map charts. But what sets Excel apart is its flexibility, it gives us total creative control over our designs so if needed we could produce our own animated custom chart to tell the right story for our data.
Over five weeks we will explore Excel's rich selection of visualization tools using practical case studies as seen through the eyes of Rohan, an environmental analyst. Rohan is required to produce visualizations that will show trends, forecasts, breakdowns and comparisons for a large variety of environmental data sets. As well as utilising the usual chart types he wants to use conditional formats, sparklines, specialised charts and even create his own animated charts and infographics. In some cases, he will also need to prepare the data using pivot tables to drill down and answer very specific questions. We are going to help him achieve all this and present our finished visualizations in attractive reports and dashboards that use tools like slicers and macros for automation and interactivity.
These are the topics we will cover:
Week 1: Dynamic visualizations with conditional formatting, custom number formatting, sparklines and macros
Week 2: Charting techniques for telling the right story
Week 3: Creating specialised and custom charts
Week 4: Summarising and filtering data with pivot tables and pivot charts
Week 5: Creating interactive dashboards in Excel
This is the second course in our Specialization on Data Analytics and Visualization. The first course: Excel Fundamentals for Data Analysis, covers data preparation and cleaning but also teaches some of the prerequisites for this course like tables and named ranges as well as text, lookup and logical functions. To get the most out of this course we would recommend you do the first course or have experience with these topics. In this course we focus on Data Visualization in Excel, join us for this exciting journey....
Top reviews
CD
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The course content was excellent however the rushed pace of the videos made it loose spontaneity and flow with constant stopping and rewinding non conducive to learning.
PP
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Highly recommended! Course videos are well-paced and have very clear explanation. Each topics are taught deep and detailed, with a step-by-step process. Thank you!
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301 - 306 of 306 Reviews for Data Visualization in Excel
By SAMUEL A D E
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Dec 11, 2022
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By Jorge E A A
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Aug 7, 2024
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By Ribal T
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Oct 11, 2022
Great content! I have learnt a lot of new features that I am sure will be useful for me. The only issue with this course is that the course creators are not reactive at all. Do not expect support from them, also many issues have been reported but never fixed.
By ELIDA B M G
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Nov 11, 2022
ES MUY COMPLICADO ENTENDER LOS VIDEOS EN INGLES, Y NO TIENEN SUBTITULOS EN ESPAÑOL. HAY MUCHAS COSAS MUY TECNICAS Y HACE MUCHO MAS COMPLICADO ENTENDERLO
