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学生对 IBM 提供的 Fundamentals of Scalable Data Science 的评价和反馈

1,763 个评分
381 条评论


Apache Spark is the de-facto standard for large scale data processing. This is the first course of a series of courses towards the IBM Advanced Data Science Specialization. We strongly believe that is is crucial for success to start learning a scalable data science platform since memory and CPU constraints are to most limiting factors when it comes to building advanced machine learning models. In this course we teach you the fundamentals of Apache Spark using python and pyspark. We'll introduce Apache Spark in the first two weeks and learn how to apply it to compute basic exploratory and data pre-processing tasks in the last two weeks. Through this exercise you'll also be introduced to the most fundamental statistical measures and data visualization technologies. This gives you enough knowledge to take over the role of a data engineer in any modern environment. But it gives you also the basis for advancing your career towards data science. Please have a look at the full specialization curriculum: If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge. To find out more about IBM digital badges follow the link After completing this course, you will be able to: • Describe how basic statistical measures, are used to reveal patterns within the data • Recognize data characteristics, patterns, trends, deviations or inconsistencies, and potential outliers. • Identify useful techniques for working with big data such as dimension reduction and feature selection methods • Use advanced tools and charting libraries to: o improve efficiency of analysis of big-data with partitioning and parallel analysis o Visualize the data in an number of 2D and 3D formats (Box Plot, Run Chart, Scatter Plot, Pareto Chart, and Multidimensional Scaling) For successful completion of the course, the following prerequisites are recommended: • Basic programming skills in python • Basic math • Basic SQL (you can get it easily from if needed) In order to complete this course, the following technologies will be used: (These technologies are introduced in the course as necessary so no previous knowledge is required.) • Jupyter notebooks (brought to you by IBM Watson Studio for free) • ApacheSpark (brought to you by IBM Watson Studio for free) • Python We've been reported that some of the material in this course is too advanced. So in case you feel the same, please have a look at the following materials first before starting this course, we've been reported that this really helps. Of course, you can give this course a try first and then in case you need, take the following courses / materials. It's free... This course takes four weeks, 4-6h per week...


Jan 13, 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.

Jan 6, 2020

A very nice introduction to Apache Spark and it's environment. As a bonus, it's also a very nice refresher to your basic statistics!!! Great course!


351 - Fundamentals of Scalable Data Science 的 375 个评论(共 381 个)

创建者 Francesco d C

Dec 4, 2019

the assignments could have left more freedom to the student.

创建者 Shubo W

Sep 5, 2020

Feel like the lecture and assignment are a bit irrelevant

创建者 Robert H

Mar 26, 2020

Nice subjects notebooks could be more in-dept

创建者 Peng W

Mar 14, 2020

seems it is not well prepared

创建者 Feng L

Dec 26, 2019

too simple

not advanced

创建者 Anderson E A G

Dec 25, 2020

it's not enough clear

创建者 Leire A

Dec 7, 2019

Low level

创建者 Ian H

Jul 10, 2020

A disappointing amount of the material presented is out of date (e.g. what environments to use, Watson vs 'Data science experience' )--while fine for some cases, it too frequently borders on intrusive at best to desperately opaque at worst. Clarity of presentations could also be greatly helped. Perhaps focusing more on the why? and so what? aspects would be helpful

创建者 Erik A

Aug 31, 2020

The videos are fuzzy, extremely outdated, and don't match up with the actual projects. I couldn't pay much attention to them. Projects were good though.

创建者 Markus W

Sep 22, 2019

Romeo does a very good job of explaining things!

However, the programming assignments are too easy to learn anything from.

创建者 Zhao Q D

Mar 9, 2020

Both exercises and programming tests are too easy. It should be real programming instead of filling in the blanks.

创建者 Jason M

May 14, 2020

very simple. homework not challenging enough - just repeating the demos almost exactly.

创建者 Brian A P

May 1, 2020

The course content is not well structured and at times very confusing.

创建者 Paulo R C D S

May 3, 2020

Very basic and Spark exercises are too easy to learn useful skills

创建者 Yew C L

Oct 15, 2020

Not really fundamental. Beginner will have difficulty to learn.

创建者 Nima

Jun 4, 2020

Big data materials are less discussed specially coding sections

创建者 Martí S C

Dec 8, 2020

I don't understand why the level was marked as advance

创建者 Rahul C

Aug 21, 2020

The course feels old now. Not much interactive.

创建者 Hossein A

Jun 17, 2020

Very good topics very not very good instructors

创建者 Smriti C

Jun 8, 2020

Not a recommended course

创建者 Felipe M M

Sep 18, 2019

Videos are old. It feels like he had a bunch of material and put them together to create this course. For example: There are assignments that they give you the answer because the questions are not supposed to be there. He doesnt teach, instead, he reads a script. The assignments are not challenging and you dont feel like you learned. Horrible and painful.

创建者 Gerardo M

Jun 10, 2020

A lot of the code explained in the video doesn't work with Python 3. The course is missing real examples with updated code working with the latest versions. If I have to go on the internet to learn how to pass each programming assignment of this course because the videos are outdated then I can do this for free, no need to pay the 40 euros/month. Thanks

创建者 Deleted A

Nov 12, 2020

Course materials is not up to the with the latest state of the IBM Cloud environment. IBM Cloud environment is super buggy. Need to transform this training to make the user use its own environment and not push the IBM Cloud infrastructure.

创建者 Vladyslav

Jul 5, 2020

не можу зареєструватись за посиланням, будь ласка, перевіряйте справність всіх ресурсів перед тим, як публікувати курс. дойшов до практичного заняття і не зміг зареєструватись.

创建者 ashwani b

Apr 4, 2020

Structure and flow is the reason people pursue online courses then studying from any random youtube video tutorials. This course lacks those basic properties. Major concern was to promote IBM cloud than to teach.