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1,907 Bewertungen
420 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...


13. Jan. 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.

25. März 2021

It's good but it really requires someone who knows and even master Spark Apache(+SQL fundamentals) so that you can follow and understand and take advantage of the course

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126 - 150 von 421 Bewertungen für Fundamentals of Scalable Data Science

von Lu L

28. Juni 2020

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

von Pawel P

23. Apr. 2019

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

von Vasilis K

28. Juli 2019

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

von Prithvi S

28. Okt. 2019

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

von srinivasareddy c

1. Jan. 2020

Simply course has a very different and amazing nuances of learning

von Muyanja S Z

12. Nov. 2019

This has been an interesting and intellectually nourishing course

von George D

5. Jan. 2019

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

von Ulugbek D

26. Jan. 2020

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


5. Juni 2017

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

von Rahul

16. Juli 2020

Romeo is Very good at explaining complex things in easy words.

von Vignesh

27. Juni 2020

Excellent opportunity for beginners to gain knowledge on Spark

von Erik A

7. März 2017

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

von Eric B

10. Mai 2020

Phenomenal course with great instructor. Definitely recommend

von Sushil A

19. Apr. 2020

A nice course, more practical examples will be appreciated.

von Tom V

22. Nov. 2019

Nice course covering the basics. Not very difficult though.

von Santos P C

25. Apr. 2017

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


15. Aug. 2021

W​anna talk to your big data? This is where you start.....


3. Juli 2020

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

von Rohith P

30. März 2019

Good introduction course to Apache Spark and its internals

von likhith k

27. Nov. 2020

Course gives a clear knowledge on basics of data science.

von Ojo s

9. Okt. 2020

Very detailed and well taught. The tutor did a great job

von Tram N L

18. Mai 2020

detailed instructions and easy to understand explanation

von Anton I N B

5. März 2020

I learned using Spark with RDDs on IBM Watson Studio 👍

von He Q

26. Aug. 2019

easy and understandable, but the assignments lack depth

von Prashanth A

27. Juni 2020

Learned the data manipulation basics in data science