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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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101 - 125 of 450 Reviews for Fundamentals of Scalable Data Science

By Preyash G

Apr 20, 2020

This is one of the best course I came across so far, please keep on updating and adding such courses, Thank You

By adele c

Apr 9, 2021

Easy to follow, excellent explanations, IBM Watson notebooks super easy to run and follow (maybe too easy)

By Sabestin N

Jul 14, 2020

Thank you so much for giving good exposure. for a basic starting machine learning career for student.


Apr 29, 2020

Excellent teaching by the instructor and user friendly well designed assignment platforms and quizzes

By Nawas N

Jun 19, 2020

The course was well crafted enabling one to apply knowledge acquired in easy way in the assessments.

By edoardo b

Jun 29, 2018

A wonderful course enjoyable and useful for my professional objective. Very thanks to the teacher

By Elena F

Apr 28, 2020

Nice and well-structured introduction to Spark; clear, accessible and useful quizzes / exercices

By Dhinson G D

Oct 1, 2019

I love the course content. Simple but very informative and provides good practical exercises.

By Akula B R

Jul 3, 2020


By Kuhaneswaran G

May 29, 2020

Good guidance and a great start up for beginners as well a beneficial during this Covid-19

By Bruno D d S

Apr 21, 2020

Professor muito bem qualificado e super atencioso em suas explicações.

Curso sensacional!

By Sahan P

Jul 3, 2020

Great Course content.

It would be great if you can elaborate more on coding with pyspark

By Sven

Oct 5, 2018

Very good data science specialization covering many interesting advanced technologies!

By Anggi F S

Nov 9, 2022

The sound of the video is too low, then i can not listen the sound of video so close

By Anh-Quang N

May 18, 2020

A great beginning course to learn about pyspark and the fundamentals of data science

By kagiso M

Jul 31, 2020

Great course, just challenging enough but not too much. The instructor is awesome.

By Pedro R A

Mar 11, 2020

Very good introduction to SQL and Apache Spark (and of course parallel computing).

By Juan C A T

Jun 16, 2020

excelente curso, los ejemplos y ejercicios hacen que sea muy fácil aprender spark

By roozbeh g

Jun 20, 2019

Well-taught course in an extremely important and sought-after data science field.

By James B

Feb 28, 2020

Really liked this course. I found it to be very challenging and lots of fun too!

By Azeezur R

Oct 17, 2018

Excellent Course with very interesting assignment and informative video course

By Jamiil T A

Apr 26, 2019

Excellent. I highly recommend it, jump in and enjoy learning the foundations.

By praveen k

Nov 11, 2019

First time I got the change to work on cloud data (big data). Thanks to IBM

By Khawar A A

Jan 27, 2019

Great .. !! Big fan of sir Romeo. Great learning and awesome instructor.

By Abderrahim B

Jan 10, 2019

Excellent course! Thanks for giving of your time to share the knowledge!