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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


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


Jun 19, 2021

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

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201 - 225 of 450 Reviews for Fundamentals of Scalable Data Science

By Sabri A

Jun 7, 2020

thanks for the course

By Dr P R K

Oct 1, 2019

excellent experience

By Reetu

Jun 12, 2018

very well explained!

By mahmut k

Jul 4, 2018

Useful information!

By Soumyajit D

Oct 2, 2020

very good ,awesome


Aug 13, 2019

amazing content !!

By George K

Dec 24, 2018

Very good teacher.

By Dimitris C

Mar 31, 2021

Excellent course!

By Bikash R

Nov 20, 2019

PCA part was fun!

By Ujjwal G

Jul 16, 2019

good one to start


Aug 5, 2020

nice course, thx

By Madan T

Oct 30, 2019

Excellent course

By Saman S

Oct 26, 2019

that's wonderful

By Enrique C

May 21, 2019

Excellent course

By alamelumuralidaran

Feb 18, 2019

Wonderful course

By Mr.D.Premkumar A P

Sep 29, 2020

super tq to all

By Paulo R R

Apr 26, 2019

Awesome course!

By Bruno M A A

Dec 20, 2018

very practical.

By Kevin R L

Apr 4, 2020

awesome course

By Ankur K S

Sep 24, 2021


By Manjula

Jul 21, 2020

good platform

By alexander n

May 16, 2020

Great course!

By Felipe P

Aug 9, 2019

Great course!

By Alejandro S M

Mar 25, 2019

Just awesome!

By Aymen R

Jun 30, 2020

good course!