Chevron Left
Zurück zu Fundamentals of Scalable Data Science

Kursteilnehmer-Bewertung und -Feedback für Fundamentals of Scalable Data Science von IBM

4.3
Sterne
1,440 Bewertungen
313 Bewertungen

Über den Kurs

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-Bewertungen

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.

Filtern nach:

126 - 150 von 313 Bewertungen für Fundamentals of Scalable Data Science

von Ankur S

Nov 12, 2019

One of the Best Courses available here on Coursera.

von Phasit C

Sep 02, 2018

great introduction about Apache Spark and IBM Cloud

von Mukund S

Jun 04, 2020

Really a good course for Data Science Programming.

von Phuoc H L

Dec 28, 2019

Love the content, simple and clear are the best.

von Julien P

Sep 15, 2019

Nice material! Especially the week on plotting.

von Tacio M D

Jun 11, 2019

Very good to follow. Instructor is very clear!

von Joshua A

Oct 28, 2019

Gave excellent starting point for the course

von Jorge S A M B

Nov 13, 2019

Conteúdo muito bom, atual e ótima didática!

von Ramil M

Aug 23, 2018

Amazing course and especially instructor!!!

von Alejandro P

Jul 22, 2019

Thanks for the course, i learn so much.

von Himanshu Y

Jun 06, 2020

I will not recommend it for beginners.

von Seif M M

Jul 05, 2020

very good enhancement in data science

von Nabin R P

Feb 02, 2020

well explained with relevant examples

von GomathyShankar

Jul 01, 2020

Excellent Instructions by Mr. Romeo.

von Jinu A

Mar 08, 2020

Romeo, your an amazing human being!!

von mohamed a

May 23, 2019

Assignment 2 need more clarficaiton

von PRATAP B P

May 12, 2020

Basic but very important in manner

von ashwath s

Feb 03, 2019

Very helpful staff and instructor

von Ibrahim M N S

Jan 14, 2019

Was really Good, I loved it ^_^

von Atharva K

May 24, 2020

Amazing Intro to Apache spark.

von Cameron

Aug 18, 2019

Brilliant course! Get it done!

von Carlos F C d S e S

Dec 25, 2019

This course changed my life!

von Rahul M

Jul 06, 2017

Very good learning exposure.

von MITHUN B P

May 28, 2020

excellent organized course

von Soujanya D

Apr 18, 2020

Very interesting material!