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Fundamentals of Scalable Data Science(으)로 돌아가기

IBM의 Fundamentals of Scalable Data Science 학습자 리뷰 및 피드백

4.3
별점
1,548개의 평가
329개의 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

GA

May 06, 2020

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

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 329개 리뷰 중 301~325

교육 기관: George H

Jan 10, 2020

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

교육 기관: Mehdi S

Jun 07, 2020

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

교육 기관: Cesar R

Jul 06, 2019

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

교육 기관: Aniket J

May 13, 2020

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

교육 기관: Saif U

Jun 23, 2020

The structure and material quality needs complete revision and improvement

교육 기관: Xuan H N

Jan 02, 2020

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

교육 기관: Gianluca G

Jun 01, 2020

A little more deep tutorials on spark language would be useful

교육 기관: Francesco d C

Dec 04, 2019

the assignments could have left more freedom to the student.

교육 기관: Robert H

Mar 26, 2020

Nice subjects notebooks could be more in-dept

교육 기관: Peng W

Mar 14, 2020

seems it is not well prepared

교육 기관: Feng L

Dec 27, 2019

too simple

not advanced

교육 기관: Leire A

Dec 07, 2019

Low level

교육 기관: Ian H

Jul 10, 2020

A disappointing amount of the material presented is out of date (e.g. what environments to use, Watson vs 'Data science experience' )--while fine for some cases, it too frequently borders on intrusive at best to desperately opaque at worst. Clarity of presentations could also be greatly helped. Perhaps focusing more on the why? and so what? aspects would be helpful

교육 기관: Markus W

Sep 22, 2019

Romeo does a very good job of explaining things!

However, the programming assignments are too easy to learn anything from.

교육 기관: Zhao Q D

Mar 09, 2020

Both exercises and programming tests are too easy. It should be real programming instead of filling in the blanks.

교육 기관: Jason M

May 14, 2020

very simple. homework not challenging enough - just repeating the demos almost exactly.

교육 기관: Brian A P

May 01, 2020

The course content is not well structured and at times very confusing.

교육 기관: Paulo R C D S

May 04, 2020

Very basic and Spark exercises are too easy to learn useful skills

교육 기관: Nima

Jun 04, 2020

Big data materials are less discussed specially coding sections

교육 기관: Hossein A

Jun 17, 2020

Very good topics very not very good instructors

교육 기관: Smriti C

Jun 08, 2020

Not a recommended course

교육 기관: Felipe M M

Sep 19, 2019

Videos are old. It feels like he had a bunch of material and put them together to create this course. For example: There are assignments that they give you the answer because the questions are not supposed to be there. He doesnt teach, instead, he reads a script. The assignments are not challenging and you dont feel like you learned. Horrible and painful.

교육 기관: Gerardo M

Jun 10, 2020

A lot of the code explained in the video doesn't work with Python 3. The course is missing real examples with updated code working with the latest versions. If I have to go on the internet to learn how to pass each programming assignment of this course because the videos are outdated then I can do this for free, no need to pay the 40 euros/month. Thanks

교육 기관: Vladyslav

Jul 05, 2020

не можу зареєструватись за посиланням https://dataplatform.cloud.ibm.com/, будь ласка, перевіряйте справність всіх ресурсів перед тим, як публікувати курс. дойшов до практичного заняття і не зміг зареєструватись.

교육 기관: ashwani b

Apr 04, 2020

Structure and flow is the reason people pursue online courses then studying from any random youtube video tutorials. This course lacks those basic properties. Major concern was to promote IBM cloud than to teach.