VISUALIZATION IN DATA SCIENCE

VISUALIZATION-IN-DATA-SCIENCE
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Welcome to the FiveMinuteFriday Episode of the Super Data Science Podcast!

Today, we’ll be talking about the importance of data visualization and Tableau, one of the best tools out there. This episode will be a sneak peek also to two courses that we’re about to relaunch soon so make sure to tune in!

If you’ve been following Super Data Science and my courses online for quite some time now, chances are you’ve seen the emails floating around regarding the revamp of my two courses. I’m talking about the Tableau 2018 Basic and Tableau 2018 Advanced Courses.

Today’s episode is inspired by the two courses. We will be talking about data visualization. Yes, this is very related to the previous FMF episode about storytelling. If you’ve not listened to it yet, you can check it out here. We’ve talked about how big the effect of storytelling is when we want our audience to easily grasp any kind of information. And to make storytelling more effective, we have to properly utilize the reach of visualization.

Visualization has two purposes: for data mining and for presentation.

Visualization can be used for data mining. Most of time, data scientists handle huge amount of data making it very difficult to go through them. It’s hard to explore and search for clues. Where do you start building your models? You want to understand first what’s important and what’s not important. When we have visuals, it becomes clearer and easier. You see everything. You get the feel of your data. We are able to transform it to something we can understand.

Visualization can be used for presentation. It is at the very end of the data cycle. Again, people retain information much better if we use storytelling rather than throw hard facts at them. Many parts of the brain get easily triggered if we tell them through visual and compelling narrative. We should seek visualization that not just convey insights but engages the audience, make them feel, make them fascinated, make them say ‘wow’, etc.

The demand is high for data scientists and the supply is high. But what’s the missing link? Data scientists should be able to convey insights and make it engaging for the audience. Bridge the gap.

If this episode got you curious and interested about data visualization, make sure to check out the new courses about Tableau. I’m quite excited about this huge step so I hope you guys are as well!

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2 Comments on “VISUALIZATION IN DATA SCIENCE”

  1. Hi there just wanted to give you a quick heads up. The words in your post seem to be running off the screen in Firefox. I’m not sure if this is a format issue or something to do with browser compatibility but I figured I’d post to let you know. The design look great though! Hope you get the problem resolved soon. Many thanks

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