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四十五載傳薪火

多元課程啟新章

面向新時代,職學創未來

屯馬培育新時代職學兼善

背靠灣區,聯通世界的人才網領

2022年是屯馬創校45週年,亦是香港回歸25週年,同時也是黨二十大召開之年。

2022年也是國家,香港,以至屯馬正式開展「新時代」、「新征程」的開始。

習主席在香港回歸25週年講話中訓勉港人:

背靠祖國,聯通世界,這是香港得天獨厚的顯著優勢(p.10)

主動對接「十四五」規劃、粵港澳大灣區建設和「一帶一路」高質量發展國家戰略。(p.13)

青年興,則香港興,青年有未來,香港有未來,要引領青少年深刻認識國家和世界發展大勢,要幫助廣大青年解決學業、就業、創業…面臨的實際困難。(p.15)

2022年是屯馬創校45週年,亦是香港回歸25週年,同時也是黨二十大召開之年。

2022年也是國家,香港,以至屯馬正式開展「新時代」、「新征程」的開始。

特首在《施政報告2022》亦提及以:

「職學聯通、多元發展」的策略推廣職專教育,與傳統學術教育雙軌並行,為青年人提供多元學習和就業機會。(122段)

Reporting data

Presenting data

Presenting data

The speaker’s insight into the story of the data and why it matters

Presenting data

Know your audience

This will help determine how much data to share

EXAMPLE:

Is your audience prepared to dive straight into the data or do they need to understand what the data is?

Use data strategically

Visuals should make an impact

EXAMPLE:

“Sales by Region” vs. a story about the West Region growing substantially over the last period

Focusing on rapid growth in the West is more memorable than listing numbers

Your data is the hero

Share stats that are truly significant, impressive, clear

On a scale 1 to 10 how would you rate the content of our blog?

EXAMPLE:

Infogram conducted a blog reader survey to determine the success and validity of our content.

Use color and clear labels to highlight the impressive statistics.

Tips for presenting data

Presentations with compelling visuals are

43% more persuasive than those without.

Tips

1

1.

Don't use two figures to represent the same number

2

Avoid back-to-back charts

2.

Switch the format and content to keep your audience engaged

3

3.

Leave your visual up for a few minutes and tell a story

Explain what the chart says

4

Show the right amount of data

4.

Don’t include unnecessary data

vs.

5

Visuals must be very clear

5.

Never sacrifice clarity for more information

Separate related data instead of combining datasets onto one module

Include visuals along with the data points

Highlight 1-2 significant key features

vs.

6

6.

Additional design tips for data visuals

Don’t make your audience work harder than they need to to understand the data

Labels, titles, and legends need to be large format, easy to read, visible fonts

Colors should be clear, contrasting, pleasing, branded, consistent

Keep it simple - avoid unnecessary text, colors, grids, legends, etc.

Maintain consistency in design and branding

Explain where your data comes from

- attribute, source, credibility

No-No's

Things you should not do

Truncated y-axis

Use similar colors and categories

Poor use of dual axis

Improper sized visuals/illustrations

The story of David McCandless

Amazing popular TED talk about the beauty of data visualizations

Over 2.5 million views

He follows the tips we went over in this webinar

Conclusion

It only takes a little bit of time to look at the data you are presenting to plan what you’d like to say

Just make sure you aren’t overwhelming your audience and are presenting your data as simply as possible

You took time collecting and analyzing your data, now you can use it to make a great presentation

Learn more about creating dynamic, engaging presentations with Prezi