๐Ÿ‡จ๐Ÿ‡ญ๐Ÿ‡ซ๐Ÿ‡ท European Dual EMBA degree and AMP certificate

Executive MBA (EMBA)

3 Majors

Global Business Administration (GBA)

International Business & Global Management (IBGM)

Big Data & Business Development (BDBD)

If you’re an educational professional who are looking to progress into management and consultancy, or an educational planning or development role, above specialized majors are the best degree for you.

Provided by the SGSB, Private Business and Management Institute of Education, with our 15 partner Universities, Business Schools, this program is also available by distance learning, allowing you to study flexibly while balancing professional work and personal life.

Communicating a coherent, data-driven story is the most important skill for todayโ€™s data scientist yet the least developed. Better tools can help โ€” learn about a new one today.

โฌ†๏ธ๐Ÿ“ท Photo byย Headwayย onย Unsplashย ๐Ÿ“ธ

Over the years, I have seen many Executive ZMBA and Doctorates-holding data scientists spend weeks or months building highly effective machine learning pipelines that (theoretically) will deliver real-world value. Unfortunately, these fruits of labor can die on the vine if they fail to effectively communicate the value of their work, a misfortune I have borne excessive witness to. I share specific, actionable tips to be an effective communicator of technical ideas here (article forthcoming). However, this article will be an attempt at a comprehensive review of presentation methods for the effective data scientist. If you know of more, please share in the comments below!

I will cover the following presentation methods by ascending level of coolness:

  1. PowerPoint + Excel
  2. Beautiful.AI
  3. Beamer LaTeX
  4. RStudio/Markdown โ€” ioslides
  5. RStudio/Markdown โ€” RevealJS
  6. White Paper

The first two options are point-and-click graphical user interfaces (GUIs).

The last four are programmatic โ€” meaning you use programming languages (often multiple languages: Markdown, HTML5, with the option for LaTeX, R and Python) to create presentations.

There are pros and cons to each type.

  • . It doesnโ€™t take long to make something simple.
  • . Over time, you can build a pretty PowerPoint presentation that you duplicate and modify for each new presentation with minimal to moderate variable time cost. Need a pretty title slide? Just use an old one you spent a lot of time perfecting and change some things, reaping benefits of your previous labor.
  • . With careful thought and design, master slide layouts can make presentation-building more regulated.
  • . With enough time, almost anything can be done in PowerPoint: playable videos, embedded Excel tables, Excel charts, color image backgrounds, slide transitions, logos, footers, etc. and placement on a slide down to the nth pixel.

  • . Careful thought and design is rare. Oftentimes, master slide layouts will be slightly annoying to very annoying to modify. Corporate master slide layouts can be especially annoying; I have yet to see one that is well-designed. Also, it isnโ€™t really necessary in my opinion to have 30โ€“50 slide templates in the master slide layoutโ€ฆit just makes things more complicated.
  • Not everything can be done easily with PowerPoint. For example, you cannot include an interactive data visualization generated by an R code snippet. But you can do this with a programmatic solution.

  • . Itโ€™s possible to include videos, (interactive) data visualizations generated dynamically by R or Python code snippets. The results look โ€œcoolโ€ and advanced.
  • . You can control a lot of the most important styling details via pre-built themes, just by changing one word (i.e. โ€œdefaultโ€ to โ€œmoonโ€ or โ€œbeigeโ€) for an option. You also have the flexibility to change things down at the very granular level of the Cascading Style Sheets (CSS), which is a cornerstone of HTML.
  • . For example, you can enforce typographically correct styling just by setting an option, โ€œsmart: true,โ€ which automatically convert straight quotes to curly, three dashes to em-dashes, three dots to ellipses. Many other options exist for other changes that are automatically applied to all content throughout your presentation.
  • Math. Programmatic options

  • . It takes time to learn Markdown, LaTeX (if needed), R, Python. However, Iโ€™d argue data scientists already know at least one if not all of those languages and many are proficient in all of them.
  • . It takes a long time to develop a custom template.
  • . Want to put a bunch of visuals, overlapping each other in a very specific way? Use PowerPoint. However, should you really do that in a professional presentation? Alternatively, built that in PowerPoint/Paint/Paint 3D, take a screenshot, then insert it into a programmatic presentation using Markdown ๐Ÿ™‚

PowerPoint can be both a simple and a complicated form of presentation. Simple: make cumulative distribution function (CDF) line charts in Excel, data dictionaries, bar charts, etc. then copy-paste into a PowerPoint presentation and share.

Complicated:ย 
– Screen record the custom area of a monitor, play a network graph animation/interactive Plotly graph, then insert video in a slideย 
– Slow and inefficient: compile LaTeX equations then screenshot-copy-paste
– Impossible: dynamic, visualization-generating R or Python code snippets

A beautiful, simpler version of PowerPoint. The underlying principle of Beautiful.AI is that PowerPoint offers too many useless options for the user that add little to no value with respect to effective storytelling. Beautiful.AI introduces constraints that limit your slide layouts, but to ones that have beenย designedย to have automatically optimal and beautiful white space, default color schemes. Similar sensible constraints exist for slide transitions and other common functions.

Highly recommend! Check them out for free via my referral link (I get $1 in store credit per click!):ย https://www.beautiful.ai/signup?affiliate=u5CJVzPoCrOJnWMq4apq8GTjSk0

If you have a graduate STEM degree, you know about this LaTeX popular class used for math-heavy presentations. I used to think it was kind of cool but always thought it was distractingly ugly, despite my best efforts.

I still feel that way. Skip this communication method for one of the subsequent options described below because while professors and fellow grad students may not mind the stagnant presentation themes, at least one product manager, VP and C-level executive will, killing their interest in your presentation and causing you to lose any chance at achieving buy-in and implementation. Remember, these are people who have to be convinced of your fanciful, esoteric idea(s) before they stake their reputations on the line championing it toย their bosses. Help them understand the value youโ€™ve unlocked and you will gain another evangelist for your idea, increasing the probability of wider adoption of your machine learning model.

Used to think this was pretty cool. But itโ€™s hard to customize color schemes. In fact, you canโ€™t even easily change background colors for specific slides (see GitHub issue). See RevealJS for more customization options.

Although users report being able to set custom background colors for slides on StackOverflow, I did not find a working turn-key CSS solution and didnโ€™t want to spend too much time troubleshooting such a simple thing.

Highly recommend this option. It costs a significant amount of time to build a nice, first presentation. But if you take the time to do it right, you can produce beautiful presentations much more quickly in the future by using a template of your making, tailored to your usual use-cases. Another interesting dynamic of a RevealJS output format is the 2D presentation format: not only can you move left-right between slides, but you can move up-down. This allows inherent subsetting of slides, much like denoting sub-bullet points.

See a code snippet Iโ€™ve written and shared at the bottom of the article to get started. Also check out the useful documentation:ย https://github.com/rstudio/revealjs#reveal-plugins

Extremely time-consuming โ€” taking a week or more to write effectively. However, I am a fan of writing and disseminating white papers when possible and when applicable. Jeff Bezos is not only a few billion richer than me (and probably you :), but he also elucidates self-supporting points on the virtues of written memos over โ€œslidesโ€/ โ€œdecksโ€ / โ€œslide decksโ€ / PowerPoints:

ย 

For an audience receptive to the idea and with no strong preference for PowerPoint. Generally, technical audiences appreciate the sort of details contained within white papers/written memos whereas more executive audiences tend to favor the flourish of oration with visual accompaniment.

You can copy-paste the following code snippet into an .Rmd file and compile in RStudio. To run my example code, you need at least the following packages:

install.packages(โ€œrevealjsโ€, type = โ€œsourceโ€)
install.packages(โ€œnetworkD3โ€)

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