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Category: Data Science Projects

Data Science Project: Profitable App Profiles for App Store and Google Play

Learn to do a complete data analysis project using only basic Python to find out what genre of apps an app developer should focus on.

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Data Science Portfolio Project: Where to Advertise an E-learning Product

At Dataquest, we strongly advocate portfolio projects as a means of getting a first data science job. In this blog post, we’ll walk you through an example portfolio project. The project is part of our Statistics Intermediate: Averages and Variability course, and it assumes familiarity with: Sampling (populations, samples, sample representativity) Frequency distributions Box plots […]

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Data Science Portfolio Project: Is Fandango Still Inflating Ratings?

At Dataquest, we strongly advocate portfolio projects as a means of getting your first data science job. In this blog post, we’ll walk you through an example portfolio project. The project is part of our Statistics Fundamentals course, and it assumes some familiarity with: Sampling (simple random sampling, populations, samples, parameters, statistics) Variables Frequency distributions […]

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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 […]

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An In-Depth Style Guide for Data Science Projects

Data science projects are becoming more important in the world of data analysis, so it’s important to understand best practices and styles for data science projects.

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Generating Climate Temperature Spirals in Python

In this tutorial, we’ll recreate Ed Hawkins’ climate spirals in Python using pandas and matplotlib.

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5 Ways to Find Interesting Data Sets

Tips for finding unique, interesting data sets that haven’t already been analyzed by tons of other data scientists.

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10 Data Science Projects You Can Join Today

Editor’s note: This post was written as part of a collaboration with data.world, a site for sharing and hosting data. Authors Shannon Peifer and Gabriela Swider are on the data.world team. Finding the right data can be difficult. And even once you have it, how do you collaborate with others to make sense of it? […]

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Postgres Internals: Building a Description Tool

In previous blog posts, we have described the Postgres database and ways to interact with it using Python. Those posts provided the basics, but if you want to work with databases in production systems, then it is necessary to know how to make your queries faster and more efficient. To understand what efficiency means in […]

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Turbocharge Your Data Acquisition using the data.world Python Library

When working with data, a key part of your workflow is finding and importing data sets. Being able to quickly locate data, understand it and combine it with other sources can be difficult. One tool to help with this is data.world, where you can search for, copy, analyze, and download data sets. In addition, you […]

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