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

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1,942 個評分
431 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.

MA
2021年6月19日

Great Course but this would have been even a better course if more concepts and details were covered in it. Anyways, still a great course for beginners

篩選依據:

376 - Fundamentals of Scalable Data Science 的 400 個評論(共 433 個)

創建者 pranav v

2020年10月5日

give lot of details about pyspark like basics.

its getting hectic with just the small details given in videos.

videos needs to be changed and updated

創建者 Omphemetse M

2021年2月4日

Good introductory course, however it would be better if the assignments were more involved rather than having the code typed out already for us.

創建者 Zhou M

2021年7月22日

Some of the content in the video should have been updated due to the change of interface. Had some difficulty setting up the environment.

創建者 Vaishnavi M

2020年6月18日

Topics can be taught a bit more slowly, it was a bit difficult for me to understand. Otherwise, the content covered was very helpful!

創建者 Trung H N

2021年8月2日

The content was okay, but it is pretty basic. There is legacy from previous versions of the course that needs better transitions

創建者 BAUDRY S

2019年11月20日

The functions we need to complete looks quite messy, it'a little bit overwhelming especially for people who start with spark.

創建者 Camilo A S B

2020年9月5日

I felt the course is out of date and have worked on these classes to update it so that I can run the video classes again

創建者 Mohamed M

2020年4月5日

the assignment is required to be in sparkaql functions however the course is just using spark with built in functions

創建者 Nikhilanj P

2019年9月6日

Too many legacy issues. Would be better to start a new course altogether and maintain same syntax,etc.

創建者 George H

2020年1月10日

Analytically very simple, and fails to explain much of the syntax needed for the assignments.

創建者 Mehdi S

2020年6月7日

The videos have not been updated to fix the errors (there is just a hint for a correct code)

創建者 Cesar R

2019年7月6日

Very basic lessons. Definitely what you would expect from an Advanced course.

創建者 Aniket J

2020年5月13日

Labs are pretty hard. Need to research immensely. Knowledge is great though.

創建者 Mohammed E

2021年2月23日

The Course is quite basic, however it's useful in building up my knowledge

創建者 Saif U

2020年6月23日

The structure and material quality needs complete revision and improvement

創建者 Xuan H N

2020年1月2日

More coding please. One doent learn much just by filling out couple words

創建者 Israel F

2020年12月14日

Too many theory for such little practice. But not bad as an intro.

創建者 Gianluca G

2020年6月1日

A little more deep tutorials on spark language would be useful

創建者 Francesco d C

2019年12月4日

the assignments could have left more freedom to the student.

創建者 shubo w

2020年9月5日

Feel like the lecture and assignment are a bit irrelevant

創建者 Robert H

2020年3月26日

Nice subjects notebooks could be more in-dept

創建者 IVAN I

2021年4月16日

too easy, programming part too stupid

創建者 吴芃

2020年3月14日

seems it is not well prepared

創建者 Feng L

2019年12月26日

too simple

not advanced

創建者 Anderson E A G

2020年12月25日

it's not enough clear