Tag: Learn R

Learn R the Right Way in 5 Steps

R is in an increasingly popular language for data analysis and data science. Here’s how you can learn R and be sure it sticks so you can get the career you want.

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R vs Python for Data Analysis — An Objective Comparison

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.

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How to Use If-Else Statements and Loops in R

Learn to use if-else statements, for loops, and while loops to build complex conditional programs in R, a valuable skill for aspiring data scientists and R programmers alike.

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How to Become a Data Scientist (Step-By-Step) in 2020

Data science is one of the most buzzed about fields right now, and data scientists are in extreme demand. And with good reason — data scientists are doing everything from creating self-driving cars to automatically captioning images. Given all the interesting applications, it makes sense that data science is a very sought-after career. Data science is applied in many […]

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Six Reasons Why You Should Learn R for Data Science

Why should you learn R programming when you’re aiming to learn data science? Here are six reasons why R is the right language for you.

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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, […]

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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 […]

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Using Linear Regression for Predictive Modeling in R

In R programming, predictive models are extremely useful for forecasting future outcomes and estimating metrics that are impractical to measure. For example, data scientists could use predictive models to forecast crop yields based on rainfall and temperature, or to determine whether patients with certain traits are more likely to react badly to a new medication. […]

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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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What’s New in Dataquest v1.52: R, SQL, Postgres, and a Better Dashboard

At Dataquest, we are always working to improve your experience and expand our learning paths. We’re excited to announce several new courses and a few new features we think you’ll love. New courses Our new R Fundamentals course teaches you basic syntax and expressions. You’ll use data structures to build your own grade calculator, make […]

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28 Jupyter Notebook Tips, Tricks, and Shortcuts

Jupyter Notebook is a powerful tool for data analysis. Here are 28 tips, tricks, and shortcuts to turn you into a Jupyter notebooks power user!

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