13 de ene. de 2021
The contents of this course are really practical and to the point. The examples and notebooks are also up to date and are very useful. i really recommend this course if you want to start with Spark.
21 de jul. de 2021
Nice course. Learned the basics of a lot of different topics. Nice to do a large Data Science project in the last part. So you can apply all learned theory
por man c y•
4 de jul. de 2019
Corrupted assignment, you will never pass assignment 2 as the assignment checker was corrupted. so disappointed. in fact nice lecture and tutor and videos.
por Prasad N•
28 de jun. de 2019
worse guidance and pathetic support - shame on COURSERA and instructors for this horrible situation. Have wasted enormous productive time on this
por Karthic N•
3 de ene. de 2019
This is supposed to a course covering fundamentals , the course content lacks clarity and the instructors and mentors are not helpful either
por Maximilian F A•
15 de dic. de 2021
Watson Studio was terrible and the general support was also terribe. Bit embarassig when youre trying to promote a tech platform!
por Sai S•
23 de mar. de 2019
very poor not even know the answers for the faculty
por Rohit B•
3 de jul. de 2020
This course can be a bit tough at the start, especially if you (like me) are unfamiliar with big data, Hadoop and/or Spark. Fortunately, the instructor has given a lot of (optional) background material and introductory courses on CognitiveClass. I eventually took these free courses as it really helps strengthen your big data fundamentals, including RDD, HDFS and Spark.
Assignments are ok, definitely doable and easier than they could have been. Also, the instructor is using a really slick innovation of self-grading using a hash and a token generation rather than peer grading which can be heavily biased based on how they are graded.
Instructor is very knowledgeable and a very respected individual in the industry. I saw some students complaining about his accent. I personally found the English to be clear and grammatically accurate and never had issue in understanding. I live in Switzerland though and am used to the Schweitzerdeutsch accent.
All in all, an excellent course from a data science veteran in the industry!
por Rohan S•
24 de feb. de 2019
This course takes you on a very structured path. It starts with the core concepts of spark and how is it important in the industry. The material along with the IBM cloud platform is a total bonus.
The assignments are challenging for a reason. They test your entire knowledge and makes sure that you pay careful attention to the material being delivered. In fact, while completing the assignments, you will find yourself looking through official library documentation for support; this is a good thing. Moreover, you also find yourself writing good quality code.
Romeo teaches the content in the simplest way possible. He explains the concepts with utmost care with adequate examples. The content on statistics is also very well laid out which helps you become a better decision maker.
Overall, the course was excellent and should suffice for anyone willing to learn spark and get familiarity with cloud technologies and Apache Spark.
por Oritseweyinmi H A•
4 de nov. de 2019
Strong introduction into parallel computing and big data processing. Romeo's expertise on the subject matter, combined with his love for teaching was on show during this course. He did a great job explaining the theoretical aspects, and slowly but surely introducing us into the practical aspects as well, through the programming exercises. All in all, this has proved to be a high quality introduction into this space and I'm excited to take the next step, learn more and apply the fundamentals I have picked up here.
por Ted H•
15 de jul. de 2019
A really good introduction to Apache Spark. The course has been changed around a lot to conform with the latest syntax and to make it easier to get to work with data. Many of the videos still refer to the old syntax but the examples have all been brought up to date. Students no longer need to generate their own data (with node-Red) but can immediately get to work on pre-generated data. All this change has made some parts of the course a little confusing, but a little perseverance will overcome these problems.
por Mayumu N N•
25 de abr. de 2020
I have a master degree in Applied mathematics. I chose the specialization in Advanced Data Science. The course is really advanced and I like the way the teacher teaches and especially examines. This leads to reflection and absolute work. I am already going for the three remaining courses, and hope to obtain a professional certificate in Advanced Data Science. So far I enjoyed, so let see next1
por Daniel T•
21 de abr. de 2019
Be careful when signing up for your IBM Cloud Instance and remember to shut it down when you're not using it. I ran out of free hours and unfortunately they're no longer free after the first 30 days which either makes it impossible or expensive to finish this course. Also, 30 days might mean an arbitrary 30 day billing cycle, perhaps starting on the 1st of the month.
por Humberto D•
10 de jun. de 2021
Very thorough explanations of code. Apache spark takes a little while to get used to, but the instructor does a good job motivating it and explaining all the python commands. The first course in this sequence does not cover any serious ML techniques. It's just an overview of some data analytics overhead needed for the remaining courses in this sequence.
por Alev K•
26 de sep. de 2018
It was fun learning to me in Spark Python. Python is more attractive now, see it is not that complicated visualisation and calculation functions in it. I could manage SQL very well which helped me a lot. now i feel more confidant in Python.I use to like more R before now i see python advantages regarding R in terms of performance and cost effects.
por Saurabh M•
24 de jun. de 2020
Liked the quality and depth of the content. THe instructor is well-versed with the area and explanations are pretty clear, alongwith concrete use cases. The quizzes helped cement the finer theoretical points while the programming exercises helped me practice the concepts that were learnt!. Very good effort from the instructor. I learnt a lot
por Shakti s•
28 de dic. de 2018
I would like to Recommend this course because this course Not only taught you the well developed Syllabus but also test your ability /skills to tackle problems in submitting Assignments and which i think is the exciting part and challenging.
that moment when your are dealing with the problem and finally solved that, that work really paid off.
por daniel b•
17 de dic. de 2019
This class make me confident in using apache spark for data projects that I may need. I really enjoyed how simple and effective it was. Very practical, easy to follow, high level course. Can not wait until the next course. You should probably have some experience with data frames and lambda expressions before coming into this class.
por Eric C•
16 de abr. de 2020
This course was fantastic. The videos and assignments were well thought out, logically organized, and revised when some details had changed since their creation. Details were accurate and deep enough to give context, without getting too technical. Moreover, the automated grading mechanism the instructor created is AWESOME.
por Shubham K•
6 de may. de 2020
Very well organised material...Really liked the concept of dimension reduction and PCS.
Suggestion:- It is not for beginners so you may modify it as intermediate course.. Actually I find it advanced level course and I had gone through Spark Programming Fundamentals as you said.. And thus I was able to complete it...
por M B•
23 de jul. de 2019
Extremely well done course!!!
I am not sure what the comments about bugs in the course are about; I did not experience any.
I've taken about a dozen or so courses on Coursera, and this was one of my favorites. Everything is well explained and well laid out.
I'm excited to take the remaining courses in the series :D
por Gusti R A•
17 de feb. de 2019
This course is very recommended if you want to bring your Data Science skill to the next level. The instruction is very clear and easy to understand. The assignment is really challenging for me as the new comer in this Data Science world, but yeah, i finally can finished this course. You should take this course.
por jay g•
12 de ago. de 2020
The course is a perfectly designed to get started with Apache Spark. You need to have good coding experience to do this course. The assignment style through Jupyter notebook is a very new and effective means of learning as you can practice the theory in real-time. Thank you for such a wounderful course.
por Angadvir S P•
2 de ene. de 2021
The Assignments are a bit easy in terms of filling in the coding blanks. To increase the efficacy of the course and have an effective learning curve, it may help to write the entire code block for the students (with no or minimal hints). Resources (such as Python tutorial links) are helpful , however.
por Vikas J•
28 de jul. de 2020
This course introduced me to working of Spark and different data science principles, it was a great discovery to find this course, I am hopeful after learning through the subsequent chapters of this course you will be fairly comfortable in writing big data pipelines and generate reports.
por Alok S•
26 de jul. de 2020
This is an excellent course, I had no previous experience with Big Data or Hadoop but this course helped me learn lot's of new technologies and also it helped me learn about big data. Special thanks to the instructor @Romeo_Kienzler for this wonderful course.
por Alexander S•
27 de abr. de 2020
I think it was pretty good. Despite some of the bad feedback in the forums (which I initially shared, since Romeo started out with a quite steep learning curve), ultimately I think this course conveys the basics of Spark and Data Science statistics well.