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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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1,701 個評分
364 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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AA
2020年1月6日

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!

GA
2020年5月5日

Its a great experience especially with this course. I appreciate Romeo the way he designed the assignments. It brings out the clear understanding.

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126 - Fundamentals of Scalable Data Science 的 150 個評論(共 365 個)

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25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

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

創建者 Ankur S

2019年11月12日

One of the Best Courses available here on Coursera.

創建者 Phasit C

2018年9月2日

great introduction about Apache Spark and IBM Cloud

創建者 Mukund S

2020年6月4日

Really a good course for Data Science Programming.

創建者 Phuoc H L

2019年12月28日

Love the content, simple and clear are the best.

創建者 Julien P

2019年9月15日

Nice material! Especially the week on plotting.

創建者 Tacio M D

2019年6月10日

Very good to follow. Instructor is very clear!

創建者 Vivek K G

2020年7月26日

Good Course Content and very well explained!

創建者 Joshua A

2019年10月28日

Gave excellent starting point for the course

創建者 Jorge S A M B

2019年11月13日

Conteúdo muito bom, atual e ótima didática!

創建者 Ramil M

2018年8月23日

Amazing course and especially instructor!!!

創建者 Aishwarya

2020年7月19日

should help students in the specialization

創建者 WALEED A

2020年8月24日

It helps building skill. It is very good

創建者 Alejandro P

2019年7月22日

Thanks for the course, i learn so much.