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學生對 IBM 提供的 Fundamentals of Scalable Data Science 的評價和反饋

4.3
1,907 個評分
420 條評論

課程概述

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: https://www.coursera.org/specializations/advanced-data-science-ibm 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 ibm.biz/badging. 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 https://www.coursera.org/learn/sql-data-science 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... https://cognitiveclass.ai/learn/spark https://dataplatform.cloud.ibm.com/analytics/notebooks/v2/f8982db1-5e55-46d6-a272-fd11b670be38/view?access_token=533a1925cd1c4c362aabe7b3336b3eae2a99e0dc923ec0775d891c31c5bbbc68 This course takes four weeks, 4-6h per week...

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ZS
2021年1月13日

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.

AE
2021年3月25日

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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301 - Fundamentals of Scalable Data Science 的 325 個評論(共 421 個)

創建者 Zeynep İ

2020年5月19日

The course is perfect for beginners but some videos are old. They should be revised. Thank you :)

創建者 Jeet K P

2021年8月5日

Maybe the course video should be changed properly. It will help student to understand properly

創建者 Jeffrey G D

2020年1月7日

Some of the courses have out of date instructions, or the methods recommended are deprecated.

創建者 Prithvi M

2018年3月15日

Good! Would have liked it even more if there was more data analysis involved using IOT data.

創建者 Irfan H

2020年5月14日

The course lesson is easy enough to be learned, but I expect to learn more from this course

創建者 Tim B H

2021年1月2日

Nice course on PySpark and Data Science. I rate it 4 Stars as some details were missing.

創建者 Cosme B M R

2020年5月1日

The topics are difficult but the course is very good and the teacher is well qualified.

創建者 Mark B

2020年4月17日

Hard to follow at times... was able to get a lot of assistance in discussion forums

創建者 shubham b

2021年1月5日

Nice introduction to the differences between "normal and scaleable" data science

創建者 BAHADIR Y

2019年8月16日

At first, I'm not sure what to do and it is hard for me to set up environment.

創建者 Deepshikhar T

2018年9月26日

The last quiz needs to be reviewed, otherwise awesome start to specialization

創建者 Eugene N

2020年5月12日

I actually loved this course because it helped augment my spark basic skills

創建者 Revalino J C S

2019年1月4日

The environment setup is a little cumbersome due to constant changes in UI.

創建者 Kaiqi Z

2020年4月5日

The assignment is a little bit simple, but the knowledge is quite helpful!

創建者 Suyash

2019年9月23日

There are a lot of glitch with the assignments, hope it gets fixed soon

創建者 Pablo R L

2020年5月22日

Too advanced material for introductory course. Excellent exercises.

創建者 Matthijs K

2019年2月6日

Sets you up well for working with Spark within the IBM Environment.

創建者 Vinita S

2020年9月20日

Harder assignments would been nice and maybe a little more reading

創建者 Tushar J

2020年7月14日

Good course. The pace was good and the material was enough for me.

創建者 Zheng Y

2020年4月10日

Assignments are too simple -- too similar to the course material.

創建者 Harsh D

2019年2月3日

Quite Good. But sometimes i had trouble following instructions.

創建者 Raj N

2017年5月13日

Great introduction to Data Science, IoT and scalable computing!

創建者 Abhay B K M

2020年7月3日

It is hard to follow as it is very advanced and unevenly paced

創建者 Daniel H

2020年12月20日

Short and to the point lessons.

Exercises somewhat too easy.

創建者 ANUBHAV M

2020年4月27日

More interaction with the instructor would be appreciated.