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1,546 Bewertungen
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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151 - 175 von 328 Bewertungen für Fundamentals of Scalable Data Science

von Ibrahim M N S

Jan 14, 2019

Was really Good, I loved it ^_^

von Atharva K

May 24, 2020

Amazing Intro to Apache spark.

von Cameron

Aug 18, 2019

Brilliant course! Get it done!

von Carlos F C d S e S

Dec 25, 2019

This course changed my life!

von Rahul M

Jul 06, 2017

Very good learning exposure.

von Mithun P

May 28, 2020

excellent organized course

von Soujanya D

Apr 18, 2020

Very interesting material!

von Hadhrami A G

May 03, 2020

A very good course indeed

von madfriday

Feb 20, 2020

very friendly to beginner

von Lingjun K

Aug 07, 2019

good learning experience!

von Danyang

Oct 27, 2017

Thanks this is exciting!

von Adrian C

May 07, 2020







hing okey, thanks

von Gautham N

Nov 24, 2019

It's a very good course

von Yue B

Jun 28, 2019

comprehensive and basic

von Sabri A

Jun 07, 2020

thanks for the course

von Dr P R K

Oct 01, 2019

excellent experience

von Reetu

Jun 12, 2018

very well explained!

von mahmut k

Jul 04, 2018

Useful information!


Aug 13, 2019

amazing content !!

von George K

Dec 24, 2018

Very good teacher.

von Bikash R

Nov 21, 2019

PCA part was fun!

von ujjwal k g

Jul 16, 2019

good one to start


Aug 05, 2020

nice course, thx

von Madan K

Oct 31, 2019

Excellent course

von Saman S

Oct 26, 2019

that's wonderful