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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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1,970 個評分
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441 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.

EH

2021年7月21日

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

篩選依據：

326 - Fundamentals of Scalable Data Science 的 350 個評論（共 443 個）

創建者 Vinita S

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2020年9月20日

Harder assignments would been nice and maybe a little more reading

創建者 Tushar J

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2020年7月14日

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

創建者 Yifei Z

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2020年4月10日

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

創建者 Harsh D

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2019年2月3日

Quite Good. But sometimes i had trouble following instructions.

創建者 Raj N

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2017年5月13日

Great introduction to Data Science, IoT and scalable computing!

創建者 Abhay B K M

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2020年7月3日

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

創建者 Daniel H

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2020年12月20日

Short and to the point lessons.

Exercises somewhat too easy.

創建者 ANUBHAV M

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2020年4月27日

More interaction with the instructor would be appreciated.

創建者 Dmytro T

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2019年6月18日

Cool as for first benchmark. But a bit a lot of IBM tools)

創建者 Jon H

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2019年2月9日

Good course, instructor was extremely knowledgeable.

創建者 Hunter P

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2021年5月11日

Great course! Could delve deeper into more topics.

創建者 quais z

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2022年4月15日

The content was good although needs to be updated

創建者 JunYeol L

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2020年6月26日

It's really good and easy to learn about pyspark.

創建者 Atif A G

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2020年6月10日

Good Course but could have had a lot more detail.

創建者 Tinguaro B

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2018年10月4日

Great introduction to Data Science on IBM Cloud.

創建者 Giovani F M

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2019年12月20日

Great course to learn basic knowledge in spark!

創建者 Akash S

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2020年7月4日

Good course, but assignments are a bit easy

創建者 Francesco C

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2021年2月25日

Good explanation. Perfect starting course.

創建者 Rong L

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2020年7月18日

The instructor can be a bit slower.

創建者 EMMANUEL N

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2019年4月10日

Nice course with good tutorials

創建者 Heyimeng

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2020年10月21日

i think it is a bit too simple

創建者 Caner B B

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2020年11月19日

please include more practice

創建者 Michal P

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2019年3月28日

Very nice introduction

創建者 Elias L

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2018年12月31日

Have been a good one!

創建者 jin p

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2019年6月4日

Thanks, really helps

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