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Category: Learning and Motivation

How to Gather Your Own Data by Conducting a Great Survey

In this post, we’ll learn to create an online survey and how to prevent some common mistakes made in surveys. We’ll cover all steps of the survey process, including: Selecting a population Sampling methods Making a data analysis plan Writing good questions Distribution options Data Scientists know that even the slickest code, the best data […]

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Forget Motivation and Double Your Chances of Learning Success

One of the most difficult parts of learning anything (including data science) is staying motivated. At first, we’re excited about our new studies, and we progress quickly through the basics. But over time, as the work gets more challenging and other problems and pressures arise in our lives, it gets easier and easier to fall […]

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11 Design Tips for Data Visualization

Here’s an important fact that’s easy to forget: our data is only as helpful as it is understandable. Most of the time, making data understandable means creating some kind of data visualization. And while a simple bar graph might cut it for internal work, making your data both visually understandable and visually attractive can help […]

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Does Sharing Goals Help or Hurt Your Chances of Success?

So you’ve decided you want to learn data science. Should you share your goals on social media or with an accountability buddy? Or should you work in silence until you’ve learned enough to call yourself a data scientist? Psychology research suggests that sharing your goals may have an impact on your chances of actually achieving […]

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How AI Will Change Healthcare

Editor’s note: This piece was written in collaboration with the MAA Center, an online resource for those who have been exposed to asbestos and those looking to learn more about it. Lauren Eaton is a Communications Specialist at MAA. We hope this piece will give you an idea of how data is becoming a part […]

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A/B Testing: The Definitive Guide to Improving Your Product

Go from “I think” to “I know how much.” Whether you are in product, design or, growth, you probably come across the following questions: How could we increase our conversion rate? How can we improve our AARRR funnel? How successful has this feature launch been? Have these notifications increased retention? You can get answers to […]

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What to Consider When Choosing Colors for Data Visualization

This post was written by Lisa Charlotte Rost. Lisa is a designer at Datawrapper. Based in Berlin, she organizes the Data Vis meetup and enjoys the few sunny days there. This article was originally posted on Datawrapper, and has been reposted with perlesson. Data Visualisation can be defined as representing numbers with shapes – and […]

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This Artist Turns the Forest Floor into Data Visualizations

Editor’s note: This post was written as part of a collaboration with iDataLabs, a marketing intelligence company. Author Julia Cook works in marketing at iDataLabs. We’re all familiar with data visualizations — word clouds, pie charts, pivot tables — but how does one put enquiries in paint? Patty Haller, a landscape artist from Seattle WA, may have figured that […]

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Five Reasons for Historians to Learn R

In which I do some cheerleading for the R Project for Statistical Computing. 1. You’re almost certain to find it worth the effort Often, in the endless “should academics learn to code” debate, it’s not clear to newcomers what you can actually use this code for once you’ve invested a lot of time in learning […]

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Learning From Bank Data: Women Across the World

This post looks at the World Bank World Development Indicators (WDI). This massive collection has data in several categories: demographic, education, work, poverty, health. It includes both country-level data and various aggregates by different criteria: geographical regions, income levels, etc. The UK Data Service has a useful guide as well as access to the data. […]

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