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

1,933 ratings
426 reviews

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

Jan 13, 2021

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.

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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176 - 200 of 428 Reviews for Fundamentals of Scalable Data Science

By Olga H

Feb 13, 2021

Excellent structured and explained


May 12, 2020

Basic but very important in manner

By Anastase N

Dec 10, 2020

Wonderful methodology of learning

By ashwath s

Feb 3, 2019

Very helpful staff and instructor

By Ibrahim M N S

Jan 14, 2019

Was really Good, I loved it ^_^

By Atharva K

May 24, 2020

Amazing Intro to Apache spark.

By Cameron

Aug 18, 2019

Brilliant course! Get it done!


Dec 25, 2019

This course changed my life!

By Rahul M

Jul 6, 2017

Very good learning exposure.

By Mithun P

May 28, 2020

excellent organized course

By Soujanya D

Apr 18, 2020

Very interesting material!

By Toni P

Dec 21, 2020

Great Experience With IBM

By Hadhrami A G

May 3, 2020

A very good course indeed

By madfriday

Feb 20, 2020

very friendly to beginner

By Lingjun K

Aug 7, 2019

good learning experience!

By Dan Z

Oct 27, 2017

Thanks this is exciting!

By Adrian C

May 7, 2020







hing okey, thanks

By Gautham N

Nov 24, 2019

It's a very good course

By Yue B

Jun 28, 2019

comprehensive and basic

By Aishick C

Dec 1, 2020

it was amazing course

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 13_Soumyajit D

Oct 2, 2020

very good ,awesome