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Learner Reviews & Feedback for Fundamentals of Scalable Data Science by IBM

4.3
stars
1,882 ratings
•
412 reviews

About the Course

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...

Top reviews

ZS
Jan 13, 2021

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.

AE
Mar 25, 2021

It's good but it really requires someone who knows and even master Spark Apache(+SQL fundamentals) so that you can follow and understand and take advantage of the course

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151 - 175 of 412 Reviews for Fundamentals of Scalable Data Science

By Ankur S

•
Nov 12, 2019

One of the Best Courses available here on Coursera.

By Phasit C

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Sep 2, 2018

great introduction about Apache Spark and IBM Cloud

By Mukund S

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Jun 4, 2020

Really a good course for Data Science Programming.

By Phuoc H L

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Dec 28, 2019

Love the content, simple and clear are the best.

By Julien P

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Sep 15, 2019

Nice material! Especially the week on plotting.

By Tacio D

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Jun 10, 2019

Very good to follow. Instructor is very clear!

By Vivek K G

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Jul 26, 2020

Good Course Content and very well explained!

By Joshua A

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Oct 28, 2019

Gave excellent starting point for the course

By Jorge S A M B

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Nov 13, 2019

Conteúdo muito bom, atual e ótima didática!

By Ramil M

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Aug 23, 2018

Amazing course and especially instructor!!!

By Aishwarya A

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Jul 19, 2020

should help students in the specialization

By WALEED A

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Aug 24, 2020

It helps building skill. It is very good

By Alejandro P

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Jul 22, 2019

Thanks for the course, i learn so much.

By Himanshu Y

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Jun 6, 2020

I will not recommend it for beginners.

By Seif M M

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Jul 5, 2020

very good enhancement in data science

By Nabin R P

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Feb 1, 2020

well explained with relevant examples

By Joe-Kai T

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Mar 18, 2021

Very nice and well-organized course!

By GomathyShankar

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Jun 30, 2020

Excellent Instructions by Mr. Romeo.

By Jinu A

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Mar 8, 2020

Romeo, your an amazing human being!!

By mohamed a

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May 23, 2019

Assignment 2 need more clarficaiton

By Olga H

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Feb 13, 2021

Excellent structured and explained

By PRATAP P

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May 12, 2020

Basic but very important in manner

By Anastase N

•
Dec 10, 2020

Wonderful methodology of learning

By ashwath s

•
Feb 3, 2019

Very helpful staff and instructor

By Ibrahim M N S

•
Jan 14, 2019

Was really Good, I loved it ^_^

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