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學生對 IBM 提供的 Fundamentals of Scalable Data Science 的評價和反饋

1,970 個評分
441 條評論


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...




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.



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


326 - Fundamentals of Scalable Data Science 的 350 個評論(共 443 個)

創建者 Vinita S


Harder assignments would been nice and maybe a little more reading

創建者 Tushar J


Good course. The pace was good and the material was enough for me.

創建者 Yifei Z


Assignments are too simple -- too similar to the course material.

創建者 Harsh D


Quite Good. But sometimes i had trouble following instructions.

創建者 Raj N


Great introduction to Data Science, IoT and scalable computing!

創建者 Abhay B K M


It is hard to follow as it is very advanced and unevenly paced

創建者 Daniel H


Short and to the point lessons.

Exercises somewhat too easy.



More interaction with the instructor would be appreciated.

創建者 Dmytro T


Cool as for first benchmark. But a bit a lot of IBM tools)

創建者 Jon H


Good course, instructor was extremely knowledgeable.

創建者 Hunter P


Great course! Could delve deeper into more topics.

創建者 quais z


The content was good although needs to be updated

創建者 JunYeol L


It's really good and easy to learn about pyspark.

創建者 Atif A G


Good Course but could have had a lot more detail.

創建者 Tinguaro B


Great introduction to Data Science on IBM Cloud.

創建者 Giovani F M


Great course to learn basic knowledge in spark!

創建者 Akash S


Good course, but assignments are a bit easy

創建者 Francesco C


Good explanation. Perfect starting course.

創建者 Rong L


The instructor can be a bit slower.



Nice course with good tutorials

創建者 Heyimeng


i think it is a bit too simple

創建者 Caner B B


please include more practice

創建者 Michal P


Very nice introduction

創建者 Elias L


Have been a good one!

創建者 jin p


Thanks, really helps