There are three major concerns I have with this course: 1) Content Depth and Structure: The course content feels overly basic, even for an introductory level. The lab exercises are too simplistic and fail to provide meaningful hands-on experience. There is no technical final assessment; the concluding quiz is entirely theoretical. Questions about IBM products or statistics like "the projected growth of data" seem irrelevant and out of place. 2)Lack of Conceptual Clarity and Practical Application: Key concepts like shuffling, grouping, and filtering are not explained or demonstrated in sufficient depth. Including practical examples to showcase their impact would significantly enhance understanding. The course neglects to explain the execution plan in Spark, particularly how it operates and its implications for application performance. This is a critical topic that deserves proper attention. The explanation of differences between RDDs and DataFrames is confusing, even for someone with basic knowledge. Similarly, the coverage of Spark SQL and functions lacks clarity and structure. A more straightforward approach—e.g., showing three ways to accomplish a task, comparing them, and contextualizing their usage in real-world scenarios—would be far more effective. The inclusion of Pandas is unexpected. While it’s noted that Spark RDDs/DataFrames can be created from Pandas DataFrames, there was too much emphasis on it, and in the same stage of course foundational functions like read.csv are not even mentioned. This omission contributes to a sense of disorganization and a lack of a coherent teaching strategy. 3)Presentation and Delivery: The video materials are AI-generated, and this detracts from the learning experience. Personally, I found the videos too short, with unnecessary and repetitive intro/outro segments that quickly became irritating. This format undermines engagement and suggests a lack of thoughtful design. A human instructor narrating the content could provide a more engaging and dynamic learning experience. A human presenter might also recognize and address the lack of substance in the explanations, resulting in clearer and more effective teaching. Overall, the course feels like a collection of loosely connected topics rather than a carefully designed curriculum. A greater focus on depth, practical application, and a more personalized delivery would significantly improve the learning experience.

Good theoretical knowledge on Big data, Hadoop and Apache Spark. However the labs were of very limited scope and didn't provide full hands-on exposure of the tool. Concepts were really difficult to grasp and had to go through the course content few times to clear the final assignment. Not very impressed with the articulation of the concepts discussed in this course. so 3 stars from me.

This is a good course for in depth theoretical knowledge about spark and hadoop but it does not have enough hands-on and the exercises which do have hands-on lack proper explanations of the code that we just mostly copy and paste

The best parts are the labs, on the final exam, there are a lot of questions very confusing and another ones that I marked correctly and the review said that I was wrong. Videos go super fast.

The automated voices are really distracting, and the explanations in the course are quite surface level. I enjoyed the hands-on training part of the course though.

too easy to solve the exmas!

El material muy complejo

this should be its own course with how hard the material felt compared to the rest of the DE certification. you will learn a lot but I often felt more confused at the end of a module than confident I could use this information.

The quizzes were deliberately ambiguous and opinion based. The "hands on lab" is no better than just opening up the spark documentation.

Worst tutorial ever watched. Explained very badly had to completed the entire course just because i paid money for it.AI is talking an explaining every thing. Better to learn form youtube than watch this shit. After watch 10 mins i would get pissed at their teachings

If it weren't a requirement for a uni course, I wouldn't have started another IBM course. In general, the material is of low quality, read by a robot, poorly made quizzes and a lot of theory without reasonable practice exercises.

It was too difficult for an Intermediate learner profile. In addition, most of the questions were misleading. This was the worst course ever made. Sorry..

this course is simply outrageous. completely bugged, unclear instructions, none of those responsible care about anything

not a well designed course.

shit!