Learning Data Science: The Dataquest Teaching Philosophy
Understand Dataquest’s teaching principles and make an informed choice about using the platform on your journey learning data science.
Retain More of What You Learn By Taking Better Notes
Is it better take notes by computer or by hand? The science suggests that the answer isn’t as simple as you might have heard.
Are Videos or Text Better for Learning Data Science Online?
When it comes to learning data science online, students have a wide variety of options, but one of the most basic choices every student must make is whether they’d prefer to learn by reading text or by watching video. Most MOOCs, because they’re based on the traditional college lecture format, present their information via video lectures. Even […]
The Phone Proximity Effect: Your Phone Could Be Sabotaging Your Studies
Are you falling victim to the ‘phone proximity effect’? If you study with your phone close to you, studies suggest it may be hurting your performance.
The Best Free Books for Learning Data Science
Learn Python, R, machine learning, social media scraping, and much more from these free data science books you can download today.
The Best Strategies for Overcoming a Challenge
Learning something new is going to be frustrating from time to time. This study suggests some of the best ways to push past that and succeed.
The Right Kind of Internal Motivation Can Improve Your Studies
You probably already know that internal motivation is more powerful than external motivation. But did you know that the type of internal motivation could matter when it comes to unlocking better performance? Learning data science can be a slog. At Dataquest, we try to make it as easy and fun as possible, but there’s no […]
9 Reasons Excel Users Should Consider Learning Programming
Microsoft Excel could be the single most popular piece of software in the business community. Released over thirty years ago, Excel is still used every day in countries across the globe to store, manipulate, and analyze data. It’s so widely used that becoming an Excel wizard can be a significant boost to your earnings. But […]
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 […]
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 […]
Python vs R: Head to Head Data Analysis
Python vs. R — which is better for data science? We compare the two languages side by side and see how Python and R perform on the same analysis steps.
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, that 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 it get […]
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 […]
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 […]
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 […]
3 Mighty Good Reasons to Learn R for Data Science
Ahoy, mateys! Happy International Talk Like A Pirate Day! You may think a pirate’s life sounds like fun, but it isn’t all buried treasure and singing yo-ho-ho. Pirates have lots to do: Predicting profitability of plundering events based on crew size and ship features Optimizing trade routes to avoid the law, storms, and other pirates […]
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 permission. Data Visualisation can be defined as representing numbers with shapes – and […]
DIY AI for the Future
Editor’s note: This post is the result of a collaboration with PredictX, a decision automation platform. Author Joni Lindes is a content writer at PredictX. AI is set to disrupt our current society on a major scale. According to Indeed, the number of roles in AI has risen by 485% in the UK since 2014, […]
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 […]
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 […]