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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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1,881 個評分
411 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:

126 - Fundamentals of Scalable Data Science 的 150 個評論(共 412 個)

創建者 Pawel P

2019年4月23日

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

創建者 Vasilis K

2019年7月28日

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

創建者 Prithvi S

2019年10月28日

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

創建者 srinivasareddy c

2020年1月1日

Simply course has a very different and amazing nuances of learning

創建者 Muyanja S Z

2019年11月12日

This has been an interesting and intellectually nourishing course

創建者 George D

2019年1月5日

Great! Good demonstration of basic stats using IBM Cloud & Spark.

創建者 Ulugbek D

2020年1月26日

General into into how to deal with large data using Apache Spark

創建者 BALAJI K

2017年6月5日

This is a very nice introductory course for exploring IoT data.

創建者 Rahul

2020年7月16日

Romeo is Very good at explaining complex things in easy words.

創建者 Vignesh

2020年6月27日

Excellent opportunity for beginners to gain knowledge on Spark

創建者 Erik A

2017年3月7日

This was a good course. The autograder has some issues though.

創建者 Eric B

2020年5月10日

Phenomenal course with great instructor. Definitely recommend

創建者 Sushil A

2020年4月19日

A nice course, more practical examples will be appreciated.

創建者 Tom V

2019年11月22日

Nice course covering the basics. Not very difficult though.

創建者 Santos P C

2017年4月25日

I like it for beginners. Is a good satarting point. Thanks.

創建者 NAVNEETH V H R D o E

2020年7月3日

Good experience and the pace of the course was a bit fast.

創建者 Rohith P

2019年3月30日

Good introduction course to Apache Spark and its internals

創建者 likhith k

2020年11月27日

Course gives a clear knowledge on basics of data science.

創建者 Ojo s

2020年10月9日

Very detailed and well taught. The tutor did a great job

創建者 Tram N L

2020年5月18日

detailed instructions and easy to understand explanation

創建者 Anton I N B

2020年3月5日

I learned using Spark with RDDs on IBM Watson Studio 👍

創建者 He Q

2019年8月26日

easy and understandable, but the assignments lack depth

創建者 Prashanth A

2020年6月27日

Learned the data manipulation basics in data science

創建者 Hemani B

2020年6月12日

EXcellent to get in depth knowledge in data science

創建者 Muntakimur R

2019年11月15日

Very Informative course, thanks IBM for this course