Opiniones y comentarios de aprendices correspondientes a Fundamentals of Scalable Data Science por parte de IBM
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Principales reseñas
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.
Great Course but this would have been even a better course if more concepts and details were covered in it. Anyways, still a great course for beginners
276 - 300 de 412 revisiones para Fundamentals of Scalable Data Science
por Gerardo E G G
•Great Course!
I would like to suggest to update the videos in order to reflect the operations in Python 3.x rather than 2.x but everything else was great!
por Muzamal A
•Romeo is a great instructor and I love his lectures, however some of the quiz questions are very trivial and aren't explained on his video tutorials...
por Lucas M B
•Seria ótimo se atualizassem o conteúdo do vídeo para reproduzir a versão atual do sistema e do Python, porém em teoria o conteúdo não deixou a desejar.
por Parth G
•A bit on the easy side especially if you are proficient with SQL. But otherwise a decent into to spark and nice flavour of data analysis with python.
por Eric J
•Really good course to provide an overview of working within IBM's cloud platform offerings. This course provides the basics of ApacheSpark as well.
por Thomas M
•Pretty fun introduction, assignments were moslty copy-paste from instruction videos, so you don't get to 'learn' the right way in my opinion
por Kevin A H L
•I taught the course would be more advanced. Terminology is confusing at first, but besides that, the assignments aren't so challenging.
por Umer A B
•The Grader template in the beginning is very confusing when doing first assignment. The response from Instructor should be quick.
por Mortaja A
•structure and instruction to setup of ibm clound and ibm watson needs improvement. overall good instructions and flow.
por Tamer M
•Most of the video's subtitles need to be synced, it was hard to fully understand the Indian accent without subtitles.
por Jaydeep K R
•It was a good overview of the large scale data but I would be more interesting if they had provided more Practice.
por Norman F
•Some errors like lambdas are not working anymore with Python, some typos like in Assignment 4.1 and missing steps.
por matthew w
•Content (videos and quizzes were great). I would have preferred the coding assignments to be more challenging.
por Jithil S
•A pretty good starter course for apache spark although the software version used in this course is outdated .
por Nicolas G J
•The explanations sometimes are not clear, but with some readings and searching the projects can be resolved.
por Ricardo L
•The content is good, very easy to pass. But too basic. You almost no learn anything about spark dataframes.
por Vinayaka S
•Assignments need proper instructions. Also audio quality of lesson is not proper. Everything else is nice.
por Rodrigo V G
•A very general review of Spark, Statistics and Data Visualization. Some great insights were given, tough
por ANAND G 1
•A good introduction to the steps to be taken to handle huge data sets. Surely would recommend to others.
por Braian G
•I liked the course but it has some errors in the code, related to Python2 -> Python3. Good material!
por Zeynep İ
•The course is perfect for beginners but some videos are old. They should be revised. Thank you :)
por Jeffrey G D
•Some of the courses have out of date instructions, or the methods recommended are deprecated.
por Prithvi M
•Good! Would have liked it even more if there was more data analysis involved using IOT data.
por Irfan H
•The course lesson is easy enough to be learned, but I expect to learn more from this course
por Tim B H
•Nice course on PySpark and Data Science. I rate it 4 Stars as some details were missing.
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