Chevron Left
返回到 Fundamentals of Scalable Data Science

学生对 IBM 提供的 Fundamentals of Scalable Data Science 的评价和反馈

1,837 个评分
399 条评论


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...


Jan 13, 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.

Jan 6, 2020

A very nice introduction to Apache Spark and it's environment. As a bonus, it's also a very nice refresher to your basic statistics!!! Great course!


101 - Fundamentals of Scalable Data Science 的 125 个评论(共 398 个)

创建者 Akula B R

Jul 3, 2020


创建者 Kuhaneswaran G

May 29, 2020

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

创建者 Bruno D d S

Apr 21, 2020

Professor muito bem qualificado e super atencioso em suas explicações.

Curso sensacional!

创建者 PSD P

Jul 3, 2020

Great Course content.

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

创建者 Sven

Oct 5, 2018

Very good data science specialization covering many interesting advanced technologies!

创建者 Anh-Quang N

May 18, 2020

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

创建者 kagiso M

Jul 31, 2020

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

创建者 Pedro R A

Mar 11, 2020

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

创建者 Juan C A T

Jun 16, 2020

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

创建者 Roozbeh G

Jun 20, 2019

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

创建者 James B

Feb 28, 2020

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

创建者 Azeezur R

Oct 17, 2018

Excellent Course with very interesting assignment and informative video course

创建者 Jamiil T A

Apr 26, 2019

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

创建者 praveen k

Nov 11, 2019

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

创建者 Khawar A A

Jan 27, 2019

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

创建者 abderrahim b

Jan 10, 2019

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

创建者 Ritaj D

May 31, 2020

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

创建者 Rahith K

May 6, 2020

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

创建者 Vishal S

Sep 24, 2018

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

创建者 Lu L

Jun 28, 2020

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

创建者 Pawel P

Apr 23, 2019

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

创建者 Vasilis K

Jul 28, 2019

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

创建者 Prithvi S

Oct 28, 2019

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

创建者 srinivasareddy c

Jan 1, 2020

Simply course has a very different and amazing nuances of learning

创建者 Muyanja S Z

Nov 12, 2019

This has been an interesting and intellectually nourishing course