Tag: Data Engineering

Learner Spotlight: Gino Parages

Meet Gino Parages, a former sales and IT business analyst with no coding skills who decided it was time to learn coding to give his career a boost. He chose Dataquest to help him achieve his learning goals and land the job he wanted. Here’s his story… Q: First, what are your preferred pronouns? A: […]

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Data Engineer, Data Analyst, Data Scientist — What’s the Difference?

In the fast-growing field of data, the “big three” job roles are data engineer, data analyst, and data scientist. Figure out which is the best fit for you.

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New Course: NumPy for Data Engineers

We’ve just launched a new interactive online course that’ll take you from zero to pro with NumPy in the context of data engineering — dive in!

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Learn to Optimize Algorithms in Our New Algorithm Complexity Course

Being a data engineer means helping others work with data efficiently, and that means being able to assess and implement algorithms specific to your use case.

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How Dataquest Made the Difference for Stacey’s Data Job

Stacey had tried learning data science on other platforms, but it didn’t stick — she wasn’t making progress. Here’s how Dataquest made the difference.

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Tutorial: Building An Analytics Data Pipeline In Python

Learn python online with this tutorial to build an end to end data pipeline. Use data engineering to transform website log data into usable visitor metrics.

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Go From Total Beginner to Data Engineer with Our New Path

Learn the skills you need to become a data engineer with our new interactive data engineering course path, which covers Python, SQL, Postgres, and more!

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Why You Should Learn Data Engineering

Why should you learn data engineering? Here are four big reasons. Spoiler alert: one of them is that it pays really, really well.

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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 […]

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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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What’s New in v1.14: Data Engineering Path & Performance Improvements!

Our latest Dataquest release has over 20 new features, including many major performance improvements and the launch of our much-anticipated data engineering path. New Path: Data Engineering The first course in our Data Engineering Path is here! Data Engineering is a broad field which includes: Working with Big Data Architecting distributed systems Creating reliable pipelines […]

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What is a Data Engineer?

Data engineers build pipelines that prepare and transform data for data scientists. We explore what a data engineer does, and why the role is necessary.

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