English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 1h 12m | 173 MB
“I have data, now what?” This course covers how you can take hundreds or thousands of rows and columns of data and visually communicate a powerful story that will make a lasting impact on your viewers.
How do you take hundreds or thousands of rows and columns of data and communicate a powerful story that leaves a lasting impact on viewers? In this course, Making Data into Something You Can See, you will learn how to prepare data for presentation. You will explore the best visual design principles for data, including how to properly use colors, shapes, font styles, and much more. You will learn how to parse and simplify data in Microsoft Excel, and make your visualizations coherent with a variety of charts. You will see Tableau and other tools you can use to make your data tell the story you want it to tell. By the end of the course, you will know how to visually communicate your data story to the world.
Table of Contents
01 Course Overview
02 Introduction
03 Visual Answers to Your Questions
04 Data Glutton
05 Parse and Simplify Data
06 Analyze Data
07 Module Summary
08 Introduction
09 Why Design Choices Matter
10 Similarity and Contrast
11 Dominance and Emphasis
12 Scale and Proportion
13 Hierarchy
14 Balance and Symmetry
15 Typography
16 Iconography
17 Summary
18 Introduction
19 Different Types of Data
20 Part-to-whole and Distribution
21 Nominal Comparison and Time-series
22 Correlation, Ranking, Deviation
23 Bar Charts
24 Area Charts
25 Scatterplot
26 Line Charts
27 Pie Charts
28 Bubble Charts
29 Heat Maps
30 Summary
31 Introduction
32 Tableau
33 D3
34 Python
35 Infographics
36 Summary
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