Macquarie University - Data Visualization in Excel
5.0 /5- Offered byCoursera
Data Visualization in Excel at Coursera Overview
Duration | 18 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Data Visualization in Excel at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 2 of 3 in the Excel Skills for Data Analytics and Visualization Specialization
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Intermediate Level We expect that you have some background with Excel. You can move around the interface and create basic formulas.
- Approx. 18 hours to complete
- English Subtitles: English
Data Visualization in Excel at Coursera Course details
- 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.
Data Visualization in Excel at Coursera Curriculum
Welcome and critical information
Course Introduction
Welcome to Data Visualization in Excel
Course goals and weekly learning objectives
Important information about versions and regions
Week 1 Introduction
Trend-based conditional formats
Value-based conditional formats
Macros for interactive visualizations
Visualizations with Sparklines and Shapes
Custom number formats
Read me before you start: Quizzes and Navigation
Download the Week 1 workbooks
Week 1 Practice Challenge
Week 1 Toolbox
Trend-based conditional formats
Value-based conditional formats
Macros for interactive visualizations
Visualizations with Sparklines and Shapes
Custom number formats
Mastering charting techniques
Week 2 Introduction
Charting techniques
Pies and doughnuts
Line charts and trendlines
Area charts
Scatter and bubble charts
Download the Week 2 workbooks
Week 2 Practice Challenge
Week 2 Toolbox
Charting techniques
Pies and doughnuts
Line charts and trendlines
Area charts
Scatter and bubble charts
Test your skills: Weeks 1 and 2
Specialized charts
Week 3 Introduction
Hierarchy charts
Waterfall and funnel charts
Geospatial charts
Custom chart techniques - population charts
Creative chart techniques - gauge charts
Download the Week 3 workbooks
Week 3 Practice Challenge
Week 3 Toolbox
Hierarchy charts
Waterfall and funnel charts
Geospatial charts
Custom chart techniques - population charts
Creative chart techniques - gauge charts
Create an Interactive Dashboard Using Pivot Charts and Slicers
Week 4 Introduction
Summarise data with PivotTables
Customise PivotTables
Group and sort pivot data
Filter pivot data
Perform calculations in pivots
PivotCharts and other visualizations
Download the Week 4 workbooks
Week 4 Practice Challenge
Week 4 Toolbox
Summarise data with PivotTables
Customise PivotTables
Group and sort pivot data
Filter pivot data
Perform calculations in pivots
PivotCharts and other visualizations
Test your skills: Weeks 3 and 4
Complete the Dashboard with Creative Visualisations and Dynamic Charts
Week 5 Introduction
Dashboard planning and layout
Add charts to a dashboard
Create responsive infographics
Slicers for interactive dashboards
Dashboard drilldowns and protection
Download the Week 5 workbooks
Week 5 Practice Challenge
Week 5 Toolbox
Dashboard planning and layout
Add charts to a dashboard
Create responsive infographics
Slicers for interactive dashboards
Dashboard drilldowns and protection
Final assessment: All weeks
Data Visualization in Excel at Coursera Admission Process
Important Dates
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