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How to Use Dataquest

Dataquest’s learning platform is user-friendly enough that if you’d like to, you can simply dive right in. But if you’re the type who likes to flip through the user manual first, this article is for you! In it, we’re going to cover the basic features of the Dataquest platform, and pass along some helpful tips […]

Learn to do Data Viz in R

One of the reasons that R is a top language for data science is that it’s great for data visualization. R users can take advantage of the wildly popular ggplot2 package to turn massive data sets into easily-readable charts in just a few lines of code. That can be incredibly valuable for presenting your data, […]

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 […]

How to Find an Entry-Level Job in Data Science

When it comes to relative newcomers in the Data Science field, there aren’t many out there doing better than Alyssa Columbus. Although she just graduated from college earlier this year, she already has a full-time data scientist role at Pacific Life, a laundry list of conference and symposium speaking engagements, and has founded a local […]

Programming Best Practices For Data Science

The data science life cycle is generally comprised of the following components: data retrieval data cleaning data exploration and visualization statistical or predictive modeling While these components are helpful for understanding the different phases, they don’t help us think about our programming workflow. Often, the entire data science life cycle ends up as an arbitrary […]

Data Retrieval and Cleaning: Tracking Migratory Patterns

Advancing your skills is an important part of being a data scientist. When starting out, you mostly focus on learning a programming language, proper use of third party tools, displaying visualizations, and the theoretical understanding of statistical algorithms. The next step is to test your skills on more difficult data sets. Sometimes these data sets […]