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1,440 Bewertungen
313 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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101 - 125 von 313 Bewertungen für Fundamentals of Scalable Data Science

von Rahith K

May 07, 2020

Great course with many opportunities to learn and apply what you learn.

von Vishal S

Sep 24, 2018

This was really awesome. I eventually got better at this. Good course.

von Lu L

Jun 29, 2020

Generally, quite useful, but the program assignment is relative easy.

von Pawel P

Apr 23, 2019

Too easy to be called advanced. I look forward to seeing what's next.

von Vasilis K

Jul 28, 2019

Very very good instructor!! And the course was very well structured!

von Prithvi S

Oct 28, 2019

Great course, I really liked Romeo's explanation and learned a lot.

von srinivasareddy c

Jan 02, 2020

Simply course has a very different and amazing nuances of learning

von Muyanja S Z

Nov 13, 2019

This has been an interesting and intellectually nourishing course

von George D

Jan 05, 2019

Great! Good demonstration of basic stats using IBM Cloud & Spark.

von Ulugbek D

Jan 26, 2020

General into into how to deal with large data using Apache Spark


Jun 05, 2017

This is a very nice introductory course for exploring IoT data.

von Vignesh K

Jun 27, 2020

Excellent opportunity for beginners to gain knowledge on Spark

von Erik A

Mar 08, 2017

This was a good course. The autograder has some issues though.

von Eric B

May 11, 2020

Phenomenal course with great instructor. Definitely recommend

von Sushil A

Apr 19, 2020

A nice course, more practical examples will be appreciated.

von Tom V

Nov 22, 2019

Nice course covering the basics. Not very difficult though.

von Santos P C

Apr 25, 2017

I like it for beginners. Is a good satarting point. Thanks.

von Navneeth V H

Jul 03, 2020

Good experience and the pace of the course was a bit fast.

von Rohith P

Mar 30, 2019

Good introduction course to Apache Spark and its internals

von Tram N L

May 18, 2020

detailed instructions and easy to understand explanation

von Anton I N B

Mar 05, 2020

I learned using Spark with RDDs on IBM Watson Studio 👍

von He Q

Aug 26, 2019

easy and understandable, but the assignments lack depth

von Prashanth A

Jun 27, 2020

Learned the data manipulation basics in data science

von hemani

Jun 12, 2020

EXcellent to get in depth knowledge in data science

von Muntakimur R

Nov 15, 2019

Very Informative course, thanks IBM for this course