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

1,881 個評分
411 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.


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


126 - Fundamentals of Scalable Data Science 的 150 個評論(共 412 個)

創建者 Pawel P


Too easy to be called advanced. I look forward to seeing what's next.

創建者 Vasilis K


Very very good instructor!! And the course was very well structured!

創建者 Prithvi S


Great course, I really liked Romeo's explanation and learned a lot.

創建者 srinivasareddy c


Simply course has a very different and amazing nuances of learning

創建者 Muyanja S Z


This has been an interesting and intellectually nourishing course

創建者 George D


Great! Good demonstration of basic stats using IBM Cloud & Spark.

創建者 Ulugbek D


General into into how to deal with large data using Apache Spark



This is a very nice introductory course for exploring IoT data.

創建者 Rahul


Romeo is Very good at explaining complex things in easy words.

創建者 Vignesh


Excellent opportunity for beginners to gain knowledge on Spark

創建者 Erik A


This was a good course. The autograder has some issues though.

創建者 Eric B


Phenomenal course with great instructor. Definitely recommend

創建者 Sushil A


A nice course, more practical examples will be appreciated.

創建者 Tom V


Nice course covering the basics. Not very difficult though.

創建者 Santos P C


I like it for beginners. Is a good satarting point. Thanks.



Good experience and the pace of the course was a bit fast.

創建者 Rohith P


Good introduction course to Apache Spark and its internals

創建者 likhith k


Course gives a clear knowledge on basics of data science.

創建者 Ojo s


Very detailed and well taught. The tutor did a great job

創建者 Tram N L


detailed instructions and easy to understand explanation

創建者 Anton I N B


I learned using Spark with RDDs on IBM Watson Studio 👍

創建者 He Q


easy and understandable, but the assignments lack depth

創建者 Prashanth A


Learned the data manipulation basics in data science

創建者 Hemani B


EXcellent to get in depth knowledge in data science

創建者 Muntakimur R


Very Informative course, thanks IBM for this course