Chevron Left
返回到 Fundamentals of Scalable Data Science

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

1,834 个评分
398 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!


251 - Fundamentals of Scalable Data Science 的 275 个评论(共 398 个)

创建者 Satyam K

Nov 20, 2018

This course gives you nice experience with Apache Spark. There is lot of update going on interface which creates few problem but discussion forum helps you out. Good for beginners in Data Science who have basic knowledge of python and SQL.

创建者 Christian M

Jun 20, 2019

It's an excellent course for anybody who wants to learn the basic of Spark, Watson Studio, and data analysis. It's also a good reminder for anybody well acquainted to the subject and want to know how to deal with it in Watson Studio

创建者 Udbhav S P

Apr 11, 2020

there were two errors i noticed if you could correct them - check the last assignment in the grading system it has parameters given which are not required and the last quiz there is a ques about PCA pls correct the options

创建者 Xiang Y N

Apr 10, 2019

I was just wondering, is the content a bit short? Are there any more details on practising writing functions and text rather than an hour videoing and quiz? I believe intense programming skills practise is more efficient

创建者 Dipro M

Jul 18, 2019

Nice for a basic introduction. I really got to know a lot about the basics of 'data' and spark applications. However, the exercises and assignments seemed a bit too simple. Also could do with a few more extra readings.

创建者 Víctor M P

Apr 30, 2020

El curso es una introducción muy básica, lo más interesante son los ejercicios opcionales como el de node-red. Me esperaba que se aplicaran buenas prácticas en los ejercicios, pero como introducción está bien.

创建者 Marcos P L

Dec 8, 2019

As an introductory course on data science and manipulation of large data sets, the course proved to be quite comprehensive and technically capable of leading the student to an understanding of all content.

创建者 Amy P

Aug 28, 2019

I learned a lot from this introduction and appreciated the amount of coding that the lecturer did during many of the videos. Would have liked more involved programming challenges at the end of each week.

创建者 Jan D

Mar 19, 2017

Good course with a good Instructor. It's a real basic course and good for beginners, though you need to have to dive into Python and Spark on your own to follow the course and the assignments. :)


Jun 24, 2020

Great Introductory course for Big Data Analytics. The exercises and the assignments had the appropriate level of difficulty considering this was an advanced course. Thank you IBM and Coursera.

创建者 Pranav N

Aug 27, 2019

Deserves 5 Star if the contents are updated such as removing redundant codes in Video lectures, upgrading Python and Spark to latest version etc. Overall a great place to start Scalable DS.

创建者 Daniel D S P

Jun 7, 2020

La semana 2 es un ladrillo, se explican los temas de ingeniería para el procesamiento masivo de datos, pero la explicación no es muy pedagógica que digamos. Por lo demás estuvo muy bien.

创建者 Bruno N

Sep 3, 2018

Very good course for a hands on overview introduction to the topic, and the associated tools (particularly Apache PiSpark).

Some issues with the auto grader encountered sometimes.


Jul 5, 2020

There should be some links that are helpful towards this course, as it is an intermediate course, what courses are available in Coursera prior to this as a beginner lesson.

创建者 Nora I

Nov 19, 2020

The difference between rdd, dataframe and sql.spark could be more clear in the practical sense. But all in all excellent course. A boost in my Data Scientist profile!

创建者 Gouri K

Nov 12, 2019

Good overall,instructor was very good,but I feel more examples could be used especially when explaining multidimensional vector space and such basics of graphs

创建者 Ivan J M

Nov 2, 2019

There are a lot of not updated sections, sometimes it confuses me because in some videos he talks about how we will use Node RED but then we don't use it.

创建者 Gerardo E G G

Jun 26, 2020

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!

创建者 Muzamal A

May 10, 2020

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...

创建者 Lucas M B

Dec 2, 2019

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.

创建者 Parth G

Oct 4, 2020

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.

创建者 Eric J

Feb 9, 2017

Really good course to provide an overview of working within IBM's cloud platform offerings. This course provides the basics of ApacheSpark as well.

创建者 Thomas M

Sep 12, 2020

Pretty fun introduction, assignments were moslty copy-paste from instruction videos, so you don't get to 'learn' the right way in my opinion

创建者 Kevin A H L

Jul 30, 2020

I taught the course would be more advanced. Terminology is confusing at first, but besides that, the assignments aren't so challenging.

创建者 Umer A B

Mar 18, 2017

The Grader template in the beginning is very confusing when doing first assignment. The response from Instructor should be quick.