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Fundamentals of Scalable Data Science(으)로 돌아가기

IBM의 Fundamentals of Scalable Data Science 학습자 리뷰 및 피드백

4.3
994개의 평가
210개의 리뷰

강좌 소개

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...

최상위 리뷰

AA

Jan 07, 2020

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!

HS

Sep 10, 2017

A perfect course to pace off with exploration towards sensor-data analytics using Apache Spark and python libraries.\n\nKudos man.

필터링 기준:

Fundamentals of Scalable Data Science의 209개 리뷰 중 76~100

교육 기관: abderrahim b

Jan 10, 2019

Excellent course! Thanks for giving of your time to share the knowledge!

교육 기관: Vishal S

Sep 24, 2018

This was really awesome. I eventually got better at this. Good course.

교육 기관: Pawel P

Apr 23, 2019

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

교육 기관: Vasilis K

Jul 28, 2019

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

교육 기관: Prithvi S

Oct 28, 2019

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

교육 기관: srinivasareddy c

Jan 02, 2020

Simply course has a very different and amazing nuances of learning

교육 기관: Muyanja S Z

Nov 13, 2019

This has been an interesting and intellectually nourishing course

교육 기관: George D

Jan 05, 2019

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

교육 기관: Ulugbek D

Jan 26, 2020

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

교육 기관: BALAJI K

Jun 05, 2017

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

교육 기관: Erik A

Mar 08, 2017

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

교육 기관: Tom V

Nov 22, 2019

Nice course covering the basics. Not very difficult though.

교육 기관: Santos P C

Apr 25, 2017

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

교육 기관: Rohith P

Mar 30, 2019

Good introduction course to Apache Spark and its internals

교육 기관: Anton B

Mar 05, 2020

I learned using Spark with RDDs on IBM Watson Studio 👍

교육 기관: He Q

Aug 26, 2019

easy and understandable, but the assignments lack depth

교육 기관: Muntakimur R

Nov 15, 2019

Very Informative course, thanks IBM for this course

교육 기관: Ankur S

Nov 12, 2019

One of the Best Courses available here on Coursera.

교육 기관: Phasit C

Sep 02, 2018

great introduction about Apache Spark and IBM Cloud

교육 기관: Phuoc H L

Dec 28, 2019

Love the content, simple and clear are the best.

교육 기관: Julien P

Sep 15, 2019

Nice material! Especially the week on plotting.

교육 기관: Tacio M D

Jun 11, 2019

Very good to follow. Instructor is very clear!

교육 기관: Joshua A

Oct 28, 2019

Gave excellent starting point for the course

교육 기관: Jorge S A M B

Nov 13, 2019

Conteúdo muito bom, atual e ótima didática!

교육 기관: Ramil M

Aug 23, 2018

Amazing course and especially instructor!!!