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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.

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226 - 250 von 329 Bewertungen für Fundamentals of Scalable Data Science

von ADEJOKUN A

Jun 24, 2020

Great Introductory course for Big Data Analytics. The exercises and the assignments had the appropriate level of difficulty considering this was an advanced course. Thank you IBM and Coursera.

von Pranav N

Aug 28, 2019

Deserves 5 Star if the contents are updated such as removing redundant codes in Video lectures, upgrading Python and Spark to latest version etc. Overall a great place to start Scalable DS.

von Daniel D S P

Jun 07, 2020

La semana 2 es un ladrillo, se explican los temas de ingeniería para el procesamiento masivo de datos, pero la explicación no es muy pedagógica que digamos. Por lo demás estuvo muy bien.

von Bruno N

Sep 03, 2018

Very good course for a hands on overview introduction to the topic, and the associated tools (particularly Apache PiSpark).

Some issues with the auto grader encountered sometimes.

von Quazi M T M

Jul 05, 2020

There should be some links that are helpful towards this course, as it is an intermediate course, what courses are available in Coursera prior to this as a beginner lesson.

von Gouri K

Nov 12, 2019

Good overall,instructor was very good,but I feel more examples could be used especially when explaining multidimensional vector space and such basics of graphs

von Ivan J M

Nov 02, 2019

There are a lot of not updated sections, sometimes it confuses me because in some videos he talks about how we will use Node RED but then we don't use it.

von Gerardo E G G

Jun 26, 2020

Great Course!

I would like to suggest to update the videos in order to reflect the operations in Python 3.x rather than 2.x but everything else was great!

von Mohammad M A

May 10, 2020

Romeo is a great instructor and I love his lectures, however some of the quiz questions are very trivial and aren't explained on his video tutorials...

von Lucas M B

Dec 03, 2019

Seria ótimo se atualizassem o conteúdo do vídeo para reproduzir a versão atual do sistema e do Python, porém em teoria o conteúdo não deixou a desejar.

von Eric J

Feb 10, 2017

Really good course to provide an overview of working within IBM's cloud platform offerings. This course provides the basics of ApacheSpark as well.

von Kevin A H L

Jul 30, 2020

I taught the course would be more advanced. Terminology is confusing at first, but besides that, the assignments aren't so challenging.

von Umer A B

Mar 18, 2017

The Grader template in the beginning is very confusing when doing first assignment. The response from Instructor should be quick.

von Mortaja A

Jan 05, 2019

structure and instruction to setup of ibm clound and ibm watson needs improvement. overall good instructions and flow.

von Tamer M

Sep 24, 2019

Most of the video's subtitles need to be synced, it was hard to fully understand the Indian accent without subtitles.

von Jaydeep K R

Jun 23, 2020

It was a good overview of the large scale data but I would be more interesting if they had provided more Practice.

von Norman F

Jan 13, 2019

Some errors like lambdas are not working anymore with Python, some typos like in Assignment 4.1 and missing steps.

von Jithil S

Jul 05, 2020

A pretty good starter course for apache spark although the software version used in this course is outdated .

von Ricardo L

Jun 05, 2020

The content is good, very easy to pass. But too basic. You almost no learn anything about spark dataframes.

von Anand G

Jun 14, 2020

A good introduction to the steps to be taken to handle huge data sets. Surely would recommend to others.

von Zeynep İ

May 19, 2020

The course is perfect for beginners but some videos are old. They should be revised. Thank you :)

von Jeffrey G D

Jan 07, 2020

Some of the courses have out of date instructions, or the methods recommended are deprecated.

von Prithvi M

Mar 15, 2018

Good! Would have liked it even more if there was more data analysis involved using IOT data.

von irfanh

May 14, 2020

The course lesson is easy enough to be learned, but I expect to learn more from this course

von Cosme B M R

May 01, 2020

The topics are difficult but the course is very good and the teacher is well qualified.