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Вернуться к Fundamentals of Scalable Data Science

Отзывы учащихся о курсе Fundamentals of Scalable Data Science от партнера IBM Skills Network

Оценки: 1,977

О курсе

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...

Лучшие рецензии


13 янв. 2021 г.

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.


21 июля 2021 г.

Nice course. Learned the basics of a lot of different topics. Nice to do a large Data Science project in the last part. So you can apply all learned theory

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101–125 из 445 отзывов о курсе Fundamentals of Scalable Data Science

автор: Preyash G

20 апр. 2020 г.

This is one of the best course I came across so far, please keep on updating and adding such courses, Thank You

автор: adele c

9 апр. 2021 г.

Easy to follow, excellent explanations, IBM Watson notebooks super easy to run and follow (maybe too easy)

автор: Sabestin N

14 июля 2020 г.

Thank you so much for giving good exposure. for a basic starting machine learning career for student.


29 апр. 2020 г.

Excellent teaching by the instructor and user friendly well designed assignment platforms and quizzes

автор: Nawas N

19 июня 2020 г.

The course was well crafted enabling one to apply knowledge acquired in easy way in the assessments.

автор: edoardo b

29 июня 2018 г.

A wonderful course enjoyable and useful for my professional objective. Very thanks to the teacher

автор: Elena F

28 апр. 2020 г.

Nice and well-structured introduction to Spark; clear, accessible and useful quizzes / exercices

автор: Dhinson G D

1 окт. 2019 г.

I love the course content. Simple but very informative and provides good practical exercises.

автор: Akula B R

3 июля 2020 г.


автор: Kuhaneswaran G

29 мая 2020 г.

Good guidance and a great start up for beginners as well a beneficial during this Covid-19

автор: Bruno D d S

21 апр. 2020 г.

Professor muito bem qualificado e super atencioso em suas explicações.

Curso sensacional!

автор: PSD P

3 июля 2020 г.

Great Course content.

It would be great if you can elaborate more on coding with pyspark

автор: Sven

5 окт. 2018 г.

Very good data science specialization covering many interesting advanced technologies!

автор: Anh-Quang N

18 мая 2020 г.

A great beginning course to learn about pyspark and the fundamentals of data science

автор: kagiso M

31 июля 2020 г.

Great course, just challenging enough but not too much. The instructor is awesome.

автор: Pedro R A

11 мар. 2020 г.

Very good introduction to SQL and Apache Spark (and of course parallel computing).

автор: Juan C A T

16 июня 2020 г.

excelente curso, los ejemplos y ejercicios hacen que sea muy fácil aprender spark

автор: Roozbeh G

20 июня 2019 г.

Well-taught course in an extremely important and sought-after data science field.

автор: James B

28 февр. 2020 г.

Really liked this course. I found it to be very challenging and lots of fun too!

автор: Azeezur R

17 окт. 2018 г.

Excellent Course with very interesting assignment and informative video course

автор: Jamiil T A

26 апр. 2019 г.

Excellent. I highly recommend it, jump in and enjoy learning the foundations.

автор: praveen k

11 нояб. 2019 г.

First time I got the change to work on cloud data (big data). Thanks to IBM

автор: Khawar A A

27 янв. 2019 г.

Great .. !! Big fan of sir Romeo. Great learning and awesome instructor.

автор: Abderrahim B

10 янв. 2019 г.

Excellent course! Thanks for giving of your time to share the knowledge!

автор: RITAJ D

31 мая 2020 г.

Simply a great experience, very helpful, and to the point explanations.