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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
1,882개의 평가
412개의 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

ZS
2021년 1월 13일

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
2021년 6월 19일

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

필터링 기준:

Fundamentals of Scalable Data Science의 412개 리뷰 중 151~175

교육 기관: Ankur S

2019년 11월 12일

One of the Best Courses available here on Coursera.

교육 기관: Phasit C

2018년 9월 2일

great introduction about Apache Spark and IBM Cloud

교육 기관: Mukund S

2020년 6월 4일

Really a good course for Data Science Programming.

교육 기관: Phuoc H L

2019년 12월 28일

Love the content, simple and clear are the best.

교육 기관: Julien P

2019년 9월 15일

Nice material! Especially the week on plotting.

교육 기관: Tacio D

2019년 6월 10일

Very good to follow. Instructor is very clear!

교육 기관: Vivek K G

2020년 7월 26일

Good Course Content and very well explained!

교육 기관: Joshua A

2019년 10월 28일

Gave excellent starting point for the course

교육 기관: Jorge S A M B

2019년 11월 13일

Conteúdo muito bom, atual e ótima didática!

교육 기관: Ramil M

2018년 8월 23일

Amazing course and especially instructor!!!

교육 기관: Aishwarya A

2020년 7월 19일

should help students in the specialization

교육 기관: WALEED A

2020년 8월 24일

It helps building skill. It is very good

교육 기관: Alejandro P

2019년 7월 22일

Thanks for the course, i learn so much.

교육 기관: Himanshu Y

2020년 6월 6일

I will not recommend it for beginners.

교육 기관: Seif M M

2020년 7월 5일

very good enhancement in data science

교육 기관: Nabin R P

2020년 2월 1일

well explained with relevant examples

교육 기관: Joe-Kai T

2021년 3월 18일

Very nice and well-organized course!

교육 기관: GomathyShankar

2020년 6월 30일

Excellent Instructions by Mr. Romeo.

교육 기관: Jinu A

2020년 3월 8일

Romeo, your an amazing human being!!

교육 기관: mohamed a

2019년 5월 23일

Assignment 2 need more clarficaiton

교육 기관: Olga H

2021년 2월 13일

Excellent structured and explained

교육 기관: PRATAP P

2020년 5월 12일

Basic but very important in manner

교육 기관: Anastase N

2020년 12월 10일

Wonderful methodology of learning

교육 기관: ashwath s

2019년 2월 3일

Very helpful staff and instructor

교육 기관: Ibrahim M N S

2019년 1월 14일

Was really Good, I loved it ^_^