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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 […]

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Tutorial: Poisson Regression in R

Poisson Regression can be a really useful tool if you know how and when to use it. In this tutorial we’re going to take a long look at Poisson Regression, what it is, and how R programmers can use it in the real world. Specifically, we’re going to cover: What Poisson Regression actually is and […]

meteorologist to data scientist

From Meteorologist to Data Scientist in Six Months

Armed with a strong science background but faced with limited career options, Isaac Pato dropped everything for six months and built up a skillset that landed him a job in the data science field. “I went to school for meteorology and I graduated in 2012. I worked in meteorology for about a year, and then I […]

Learning Python for Data Science the Right Way

Last week, we launched a totally revamped version of our introductory Python course. Now, we’re doing the same for our intermediate Python course. Say hello to Python for Data Science: Intermediate! The new course is available now, and just like the introductory Python course, it’s completely free. This course has been carefully designed to build […]

Tutorial: Time Series Analysis with Pandas

In this tutorial, we will learn about the powerful time series tools in the pandas library. Originally developed for financial time series such as daily stock market prices, the robust and flexible data structures in pandas can be applied to time series data in any domain, including business, science, engineering, public health, and many others. […]

Learn Python for Data Science from Scratch

It’s virtually impossible to succeed at anything without a solid understanding of the fundamentals. That’s why we take particular care in ensuring that our introductory courses, the gateways to data science, are as well-crafted as possible. Today, we’re announcing the re-launch of our introductory Python course, Python for Data Science: Fundamentals. It’s available right now, […]

How to Write a Great Data Science Resume

Writing a resume for data science job applications is rarely a fun task, but it is a necessary evil. The majority of companies require a resume in order to apply to any of their open jobs, and a resume is often the first layer of the process in getting past the “Gatekeeper” — the Recruiter […]

Advanced Jupyter Notebooks: A Tutorial

Lying at the heart of modern data science and analysis, Jupyte project lifecycle. Whether you’re rapidly prototyping ideas, demonstrating your work, or producing fully fledged reports, notebooks can provide an efficient edge over IDEs or traditional desktop applications. Following on from “Jupyter Notebook for Beginners: A Tutorial“, this guide will take you on a journey […]

How Miguel Got 3 Data Science Job Offers Fast With Dataquest

Miguel Couto’s data science story begins with rejection. “I got this really dry email saying, ‘Hi Miguel, just to let you know, we’re not giving you the scholarship.’” Miguel said. He had applied for a scholarship to a prestigious but expensive data science bootcamp in Berlin. And despite his qualifications, which include a PhD in […]

Historic Wildfire Data: Exploratory Visualization in R

In recent weeks, news of the devastating wildfires sweeping parts of the US state of California have featured prominently in the news. While most wildfires are started accidentally by humans, weather conditions like wind and drought can exacerbate fires’ spread and intensity. Improved understanding of historical wildfire trends and causes can inform fire management and […]

An Intro to Deep Learning in Python

Deep learning is a type of machine learning that’s growing at an almost frightening pace. Nearly every projection has the deep learning industry expanding massively over the next decade. This market research report, for example, expects deep learning to grow 71x in the US and more than that globally over the next ten years. There’s […]

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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