Tag: Guest Post

Why does SQL Server Consume So Much Memory

According to the company, Microsoft SQL Server is a relational database management system (RDBMS). In relational databases, all SQL Servers use the SQL programming language, which is well-known and widely used. Microsoft created SQL Server’s Transact-SQL implementation, also referred to as T-SQL, used by SQL Server. A number of programming constructs not found in SQL […]

Read More

The 10 Best Machine Learning Algorithms for Data Science Beginners

Machine learning algorithms are key for anyone who’s interested in the data science field. Here’s an introduction to ten of the most fundamental ML algorithms.

Read More

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 […]

Read More

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 […]

Read More

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 […]

Read More

How to Overcome That Awkward Silence in Interviews

By Jillian Kramer We’ve all been there: what we thought was an excellent interview quickly degrades as we sit with the hiring manager in silence—left only to wonder what we have done wrong to encourage our colleague to stop speaking entirely. (Talk about awkward!) And so, we get it: “The silence in an interview is […]

Read More

Top 20 Python AI and Machine Learning Open Source Projects

Getting into Machine Learning and AI is not an easy task, but is a critical part of data science programs. Many aspiring professionals and enthusiasts find it hard to establish a proper path into the field, given the enormous amount of resources available today. The field is evolving constantly and it is crucial that we […]

Read More

Preparing for the Data Science Job Hunt

Editor’s note: This piece was written in collaboration with SwitchUp, an online platform for researching and reviewing technology learning programs. Erica Freedman is a Content Specialist at SwitchUp. Job hunting is stressful, especially if you’re moving into an entirely new field. In this post, I give tips on finding data science jobs, looking up salaries, […]

Read More

12 Essential Command Line Tools for Data Scientists

Learn 12 useful command line/terminal commands for data science work.

Read More

Take These 7 Small Steps To Make a Big Career Move

By Michele Lando One of the biggest fears many people face when it comes to career development is how to change or transition careers without getting pigeonholed into one industry or field. Believe it or not, changing careers isn’t as difficult as you may think. To make things a little less intimidating, here are 7 […]

Read More

How to Overcome Impostor Syndrome For Good

I was working at a job I loved when I started to wonder whether I was a bit of a fraud. Digital strategy and client service was my forte. But when I was offered extra responsibilities that suddenly had me leading meetings with top affiliate global marketers (while I had minimal experience in that field), […]

Read More

What’s New in Dataquest v1.85: Takeaways, Intermediate R, and More

We’re always working on ways to help you learn and keep you motivated — from new features, to celebrating student stories. In this post, we give you a quick overview of what we’ve released recently, and what’s coming up. Takeaways Programming is comprised of many small actions and concepts, and it can be hard to […]

Read More

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 […]

Read More

Using Box Plots to Explore Women’s Height Data

I’ve recently been working on the Digital Panopticon, a digital history project that has brought together (and created) massive amounts of data about British prisoners and convicts in the long 19th century, including several datasets which include heights for women. Adult height is strongly influenced by environmental factors in childhood, one of the most important […]

Read More

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 […]

Read More