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329 Bewertungen

Über den Kurs

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...



May 06, 2020

Its a great experience especially with this course. I appreciate Romeo the way he designed the assignments. It brings out the clear understanding.


Sep 10, 2017

A perfect course to pace off with exploration towards sensor-data analytics using Apache Spark and python libraries.\n\nKudos man.

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176 - 200 von 328 Bewertungen für Fundamentals of Scalable Data Science


May 21, 2019

Excellent course

von alamelumuralidaran

Feb 18, 2019

Wonderful course

von Paulo R R

Apr 26, 2019

Awesome course!

von Bruno M A A

Dec 20, 2018

very practical.

von Kevin R L

Apr 04, 2020

awesome course

von Manjula

Jul 21, 2020

good platform

von alexander n

May 16, 2020

Great course!

von Felipe D P B

Aug 09, 2019

Great course!

von Alejandro S M

Mar 25, 2019

Just awesome!

von Aymen R

Jun 30, 2020

good course!


Feb 08, 2020

Great course

von Zeghraoui M

Mar 26, 2019

I loved it !

von Vishwanath b

May 27, 2020

best course

von Farrukh N A

Apr 24, 2020

Good Course

von Anand M

Jun 23, 2020

very nice


Jun 08, 2020

very nice

von Lahcene O M

Apr 05, 2020

Great job

von Charles-Antoine d T

Oct 10, 2019

very good

von Javier A C B

May 07, 2019

Great Job

von Uzwal G

Apr 26, 2019

Thank you

von Alessandro R M

Jan 05, 2019


von Paulo T P

Apr 27, 2019


von Sakshi U

Jul 24, 2020


von Rifat R

Jul 14, 2020


von Ankit M

Dec 01, 2019