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Discover reviews on "data engineer academy" based on Reddit discussions and experiences.

Last updated: August 28, 2024 at 11:04 AM
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Summary of Reddit Comments on "Data Engineer Academy"

DE Academy

Pros:

  • Offers a DE curriculum for learners who prefer a structured approach.
  • Provides unlimited 1:1 coaching and mock interviews, which could be a good deal.
  • The founder and representatives show commitment to a positive learning experience.

Cons:

  • Mixed reviews on the program's effectiveness and value for the price.
  • Initial calls reported as sales-focused, with vague information provided.
  • Technical issues with the website and email communication raised concerns about reliability.

Other Mentioned Programs:

HiCounselor:

  • Offers options at $10k and $15k with payment only upon job placement within 12 months.
  • Provides Data Science and Engineering tracks with real-life projects for practice.

Revature:

  • Offers paid tech training and internship opportunities, not DE-specific.
  • Could be suitable for tech career development for those new to the field.

Udemy:

  • Provides numerous affordable courses under $30/month, including Python and other related topics.

Suggestions for Learning DE:

Insights on Data Engineering:

  • Data Scientists often perform DE tasks regularly, requiring knowledge of basic ETL processes.
  • Data Engineering involves data prep, pipeline creation, and integration with models in the DS workflow.
  • Collaboration between DS and DE teams is essential for successful data projects.
  • Organizations may expect Data Scientists to be proficient in some Data Engineering tasks due to growing overlap in responsibilities.
  • Combining and integrating DE and DS roles may lead to a deeper understanding of the data pipeline process.

Overall, the reviews of the DE Academy were mixed, with concerns about program structure, pricing, and effectiveness. Other alternative programs like HiCounselor, Revature, and Udemy offer different approaches to learning data-related skills, catering to various preferences and budgets. It is crucial for individuals in the field of data engineering to understand the roles of both Data Scientists and Data Engineers to foster effective collaboration and enhance project outcomes.

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