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

4.3
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1,435 ratings
309 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

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.

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126 - 150 of 312 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

Sep 02, 2018

great introduction about Apache Spark and IBM Cloud

By Mukund S

Jun 04, 2020

Really a good course for Data Science Programming.

By Phuoc H L

Dec 28, 2019

Love the content, simple and clear are the best.

By Julien P

Sep 15, 2019

Nice material! Especially the week on plotting.

By Tacio M D

Jun 11, 2019

Very good to follow. Instructor is very clear!

By Joshua A

Oct 28, 2019

Gave excellent starting point for the course

By Jorge S A M B

Nov 13, 2019

Conteúdo muito bom, atual e ótima didática!

By Ramil M

Aug 23, 2018

Amazing course and especially instructor!!!

By Alejandro P

Jul 22, 2019

Thanks for the course, i learn so much.

By Himanshu Y

Jun 06, 2020

I will not recommend it for beginners.

By Seif M M

Jul 05, 2020

very good enhancement in data science

By Nabin R P

Feb 02, 2020

well explained with relevant examples

By GomathyShankar

Jul 01, 2020

Excellent Instructions by Mr. Romeo.

By Jinu A

Mar 08, 2020

Romeo, your an amazing human being!!

By mohamed a

May 23, 2019

Assignment 2 need more clarficaiton

By PRATAP B P

May 12, 2020

Basic but very important in manner

By ashwath s

Feb 03, 2019

Very helpful staff and instructor

By Ibrahim M N S

Jan 14, 2019

Was really Good, I loved it ^_^

By Atharva K

May 24, 2020

Amazing Intro to Apache spark.

By Cameron

Aug 18, 2019

Brilliant course! Get it done!

By Carlos F C d S e S

Dec 25, 2019

This course changed my life!

By Rahul M

Jul 06, 2017

Very good learning exposure.

By MITHUN B P

May 28, 2020

excellent organized course

By Soujanya D

Apr 18, 2020

Very interesting material!