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Learner Reviews & Feedback for Fundamentals of Scalable Data Science by IBM Skills Network

2,010 ratings

About the Course

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...

Top reviews


Mar 25, 2021

It's good but it really requires someone who knows and even master Spark Apache(+SQL fundamentals) so that you can follow and understand and take advantage of the course


Jul 21, 2021

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

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226 - 250 of 450 Reviews for Fundamentals of Scalable Data Science

By Prabakaran C

Feb 8, 2020

Great course

By Zeghraoui M

Mar 26, 2019

I loved it !

By Vishwanath b

May 27, 2020

best course

By Farrukh

Apr 24, 2020

Good Course

By Ranjith K M

Nov 30, 2020

Very good


Sep 27, 2020


By Anand M

Jun 23, 2020

very nice


Jun 8, 2020

very nice

By Lahcene O M

Apr 4, 2020

Great job

By Charlie d T

Oct 10, 2019

very good

By Javier C

May 7, 2019

Great Job

By Uzwal G

Apr 26, 2019

Thank you

By Alessandro R M

Jan 5, 2019


By Ahmad e D

Nov 12, 2020


By Thiago P

Apr 27, 2019



Sep 29, 2020


By Jeff D

Jan 23, 2021


By Dhaou B

Jan 1, 2021


By raunak p

Jan 3, 2022



Sep 5, 2021


By Sivanta

Jul 25, 2021


By Venkadesh

Nov 27, 2020


By Yash V

Sep 8, 2020


By Sakshi U

Jul 24, 2020


By Rifat R

Jul 14, 2020