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Part-Time Full-Stack Trainer Academy
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Part-Time Full-Stack Trainer Academy
Becoming an Internal Trainer at Work - 30 Day Skill-Up
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Quy trình 5 bước cho 1 workshop thành công
Templates & Examples
Analyze
Resources and Research
Blueprint
Activity Types
Workshop Basic Canvas
Create
Deliver
Evaluation
Databases
Templates & Examples
Analyze
Resources and Research
Workshop Title: “Building Clear, Persuasive Charts”
Date Time
: From
Fri, Jun 2, 2023
14:00
to
14:00
Location
:
Time Limit
:
-
Benefits
The target audience
Better work quality
Career
The Organization
B
The Speaker
C
Speaker Credibility
D
Audience Analysis
Producers, 8x-9x
Not confident in data and data viz
Aspirations?
Motivation to Join?
Audience Transformation
Domain
BEFORE
AFTER
Domain
BEFORE
AFTER
1
KNOW
Occasionally presenting bad data visualiaztion:
😱 wrong conclusion,
🙁 wrong type,
😵 unclear and/or confusing, not persuasive
Build Charts with
Default (non optimal) options
Low Data-Ink ratio
No Process
Do not recognize the goodness/badness of charts in different situations
Create charts that are
persuasive
, easy to understand in Product Reviews and important Pitches, themselves. Use Tables effectively, when appropriate.
Always
look for
suspicious signs
of wrong, non-trustworthy data visualization. And
being ethical themselves
.
2
BELIEVE
Powerless - because don’t know how to do it
Frustrated - because dependent on tool/someone else
Inspired - There’s so much depth!
Empowered - huh I can do it good enough! And I am not as easy to be manipulated!
3
FEEL
Data Visualization Skills is
big and hard
The time and effort required to tweak the charts are
not worth it
Data Analysis & Visualization is
Data Analyst/BI responsibility
Showing
more data is better
The difficult part is Thinking → Prod
can and should
do that
It relatively easy to go from bad chart to an effective chart, Prod can do it in Excel.
When exploring, more data is better. When Persuading, more focus is better.
4
DO
Meanings of Important KPI and data
How to read charts
How to build basic charts in Excel (Pie, Bar, Line) from DA’s data
The
Process
to make a good data visualization: Purpose → Conversation → Sketch → Prototype → Polish
How to Polish
: Hone Idea - Make Stand out - Adjust Surrounding
The most common “Lie with Statistic”
crime
: truncated axis, scaled axis, cherry-pick data, ditch convention
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