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DATA ENGINEERING

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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DATA ENGINEERING Reviews and Details

This page is designed to help you find out whether DATA ENGINEERING is good and if it is the right choice for you.

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    2023-09-25

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Is DATA ENGINEERING good?

Dataquest.io's Data Engineering path is a solid, hands-on learning option that emphasizes practical, project-based skills over passive video watching, making it a strong value for self-motivated learners aiming to break into or advance in data engineering.

Why choose DATA ENGINEERING?

  • Interactive, browser-based coding exercises that reinforce learning by doing rather than just watching videos
  • Comprehensive curriculum covering Python, SQL, PostgreSQL, algorithms, data pipelines, and distributed processing tools like Spark
  • Real-world guided projects that build a portfolio to showcase to potential employers
  • Self-paced structure that lets learners progress on their own schedule
  • Affordable subscription pricing compared to many bootcamps or degree programs

Recommended for

  • Beginners with some programming basics looking to enter the data engineering field
  • Data analysts or scientists wanting to expand into engineering and pipeline skills
  • Self-directed learners who prefer hands-on practice over lecture-based courses
  • Career changers seeking an affordable alternative to expensive bootcamps
  • Professionals wanting to build a practical portfolio of data engineering projects

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    Check the traffic stats of DATA ENGINEERING on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.

  • Domain Rating (DR)

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  • Domain Authority (DA)

    Check the "Domain Authority" of DATA ENGINEERING on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.

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