PR
covered all the fundamentals can be little slower and detailed

In this fourth course of the Python, Bash and SQL Essentials for Data Engineering Specialization, you will build upon the data engineering concepts introduced in the first three courses to apply Python, Bash and SQL techniques in tackling real-world problems. First, we will dive deeper into leveraging Jupyter notebooks to create and deploy models for machine learning tasks. Then, we will explore how to use Python microservices to break up your data warehouse into small, portable solutions that can scale. Finally, you will build a powerful command-line tool to automate testing and quality control for publishing and sharing your tool with a data registry.

PR
covered all the fundamentals can be little slower and detailed
Showing: 14 of 14
This course is prepared a lot but below than my expectation.
Pro: Great instructor, Cutting-edge theme
Con: No homework project, simple test questions, too many videos (just showing how an teacher do something)
Especially, week 3, 4 section is like just watching YouTube lecture about CI/CD. They are tyring to teach a lot, but time is short, and lecture environment is too poor. I took other courses, about Statistics using R, and Java course. Both courses narrow lecture target well and include homework projects. Just watching how an instructor do CI/CD stuff was too boring.
I enjoyed the first two weeks and found the modules and lessons to be very imformative and well structured. The last two weeks assume a certain knowledge level of microservices, CI/CD, DevOps, etc. that dilute the value of these two weeks if you don't have some experience with these tools. Course would benefit strongly from reducing some of the content and starting with the basics or adding another week.
I really don't like this course, I was waiting a lot more of it, this is hard to say because I love the course 2 and 3 from this specialization, they were one of the best courses that I take on coursera.
Pros: Demonstration of nice tools on week 1 & 2, week 4 give a good notion of argparse and click library
Con: Week 1 and 2 could be just one week, two weeks is too much for this amount of content. Week 3 is just not good, but someone already expressed their disappointment in the comments, I just agree. it seems more like the beginning of a specialization than the end of one. I was waiting at least a great final project to work on.
it help to improve my skills
Really educating
Excelente
class
class
this Course is excellent to start to learn the big world of data engineering special in the first three modules but the last module i think maybe can change the content to explain this becasue this course introduce a lot of tools like AWS, RUST and many others too fast to understand and the excercise and videos are too complex to understand to people that are being data engineer
Gute Kurse, Beispiele, Erklaerungen.
Bitte keine kostenpflichtige Software vorstellen.
Kurs war sehr hilfreich und kurzweilig
Fantastic course. Thanks for all teachers involved in writing this.
covered all the fundamentals can be little slower and detailed
Knowledgeable and Effective Course
thanks you