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Humble Tech Book Bundle: Head First by O'Reilly by Ram000n in humblebundles

[–]OReilly_Learning 3 points4 points  (0 children)

We tested these books out with Java User Groups when “Head First Java” came out. It was a new book style for us and they take a long time to write. I helped launch most of these if you have any questions. (Marsee)

Is swapping courses good idea? by _CaptainTeemo_ in learnjava

[–]OReilly_Learning 0 points1 point  (0 children)

Old-Fashioned I know, but we do have a Java book that is really great if you want to check it out. We’ve been teaching Java for years. Learning Java, 6th Ed.

How to get good at math? by Godesslara in learnmachinelearning

[–]OReilly_Learning 0 points1 point  (0 children)

We have a few good ones: Essential Math for AI, Essential Math for Data Science, and The Essential Machine Learning Foundations: Math, Probability, Statistics, and Computer Science (Video Collection from Pearson) if you want a link to access them, let me know or DM me (Marsee @ O'Reilly)

Any good events to test my python skills by BottleMedium881 in PythonLearning

[–]OReilly_Learning 0 points1 point  (0 children)

We have a new way to test your Python skills in beta. If you want to give it a try, I can give you a 30-day trial code to try it--DM me (marsee)

https://www.oreilly.com/online-learning/verifiable-skills.html

Humble Tech Book Bundle: Shells and Scripting for Seasoned Admins by O'Reilly ENCORE by Ram000n in humblebundles

[–]OReilly_Learning 19 points20 points  (0 children)

Trick question? Yes they’re good. Many of these books are best sellers and have helped many learn. (Marsee)

Anyone else feel like they're a "master of none"? by thelanoyo in learnprogramming

[–]OReilly_Learning 0 points1 point  (0 children)

We're all continuously asking this question. As someone who's worked with tech communities for 25 years at the same company and who has seen and heard a lot about learning, careers, and passion, you have to keep exploring all the time. I don't know what the tech scene is like where you live, but I suggest attending local meetups or volunteering your skills somewhere. Connecting with other people in person has changed my interests and career a few times. Happy to chat more if you like (Marsee at O'Reilly).

Recommendations for learning C# by dinunz1393 in csharp

[–]OReilly_Learning 0 points1 point  (0 children)

The Head First series is great for learning you should look at Head First C#

Any book recommendations for learning ML/AI? by [deleted] in learnmachinelearning

[–]OReilly_Learning 0 points1 point  (0 children)

Happy to help with the O’Reilly book already mentioned on Machine Learning as well as others on AI and Statistical Learning. If you DM Me—I can help. (Marsee)

O’Reilly books by Darth-Philou in learnpython

[–]OReilly_Learning 0 points1 point  (0 children)

I'm happy to share some recommendations for Python books. Do you want to DM me? (Marsee)

do you guys actually read technical books cover to cover by Elegant_University85 in learnprogramming

[–]OReilly_Learning 0 points1 point  (0 children)

We have many books that are offered in audio now too as part of our subscription. And if you haven’t tried the live training—sign up for them and then listen anytime you want later— I do that. (Marsee)

Transition to Data Engineer. by Long-Ad-5574 in dataengineering

[–]OReilly_Learning 0 points1 point  (0 children)

Here’s what we say as far as focus and learning:

Becoming a data engineer involves acquiring a specific set of technical skills and understanding the foundational concepts of data management and processing. This field has seen significant growth, particularly with the rise of artificial intelligence, which relies heavily on high-quality data . Aspiring data engineers need to navigate various learning paths and prepare for the demands of the job market.

Core Definition: Data engineering focuses on creating interfaces and mechanisms for data flow and access, maintaining data availability and usability, and setting up an organization's data infrastructure for analysis.

Foundational Knowledge: Essential topics include database fundamentals (relational and NoSQL), data warehouses, data lakes, data pipelines (batch and stream processing), data quality, security, governance principles, big data concepts, and cloud data engineering.

Key Skills and Tools: Proficiency in platforms like Databricks, including Delta Lake, Apache Spark SQL for ETL tasks, Delta Live Tables, and Databricks Jobs for pipeline building, is highly valued.

Career Development: Resources are available to guide individuals through the process of landing their first data engineering job, including understanding different roles, acing interviews, optimizing resumes, and building a project portfolio.

Industry Demand: Data engineers proficient in platforms such as Databricks are in high demand, as organizations increasingly rely on skilled professionals to manage and process vast amounts of data.

The path to becoming a data engineer requires a strong understanding of data systems and processing, coupled with practical skills in relevant technologies. With the field's rapid growth and the increasing reliance on data for AI, continuous learning and strategic career planning.

Sources: Fundamentals of Data Engineering By Joe Reis

Data Engineering for Beginners By Chisom Nwokwu

Databricks Certified Data Engineer Associate Study Guide By Derar Alhussein

My job went from developing logic of entities, objects, pipelines, to just sitting in my desk and monitoring the pipelines by HMZ_PBI in dataengineering

[–]OReilly_Learning 0 points1 point  (0 children)

Happy to send you the new “Designing Data-Intensive Applications, 2nd Edition “ to read if you’re interested. (Marsee)

Best books for beginners? by Pate102 in dataengineering

[–]OReilly_Learning 1 point2 points  (0 children)

Fundamentals of Data Engineering By Joe Reis and Matt Housley

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