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Opiniones y comentarios de aprendices correspondientes a Fundamentals of Scalable Data Science por parte de IBM

4.3
702 calificaciones
141 revisiones

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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 This course takes four weeks, 4-6h per week...

Principales revisiones

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.

MT

Feb 08, 2019

Good course content, however, some of the material especially the IBM cloud environment setup sometimes confusing

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101 - 125 de 142 revisiones para Fundamentals of Scalable Data Science

por ENRIQUE A C A

May 21, 2019

Excellent course

por He Q

Aug 26, 2019

easy and understandable, but the assignments lack depth

por Julien P

Sep 15, 2019

Nice material! Especially the week on plotting.

por Harsh D

Feb 03, 2019

Quite Good. But sometimes i had trouble following instructions.

por Elias L

Dec 31, 2018

Have been a good one!

por Revalino J C S

Jan 04, 2019

The environment setup is a little cumbersome due to constant changes in UI.

por Mortaja A

Jan 05, 2019

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

por Héctor F

Feb 11, 2019

Can I get a badge?

por Jonathan H

Feb 09, 2019

Good course, instructor was extremely knowledgeable.

por Ahmed T

Mar 10, 2019

Excellent :)

por Shubham S

Mar 10, 2019

The course is quite good. However, its not meant for absolute beginners. One needs to have a decent understanding of Python and SQL in order to follow the course and complete the programming assignments. However, the extra effort put towards learning how to program is well worth it

por Michal P

Mar 28, 2019

Very nice introduction

por Xiang Y N

Apr 10, 2019

I was just wondering, is the content a bit short? Are there any more details on practising writing functions and text rather than an hour videoing and quiz? I believe intense programming skills practise is more efficient

por EMMANUEL N

Apr 10, 2019

Nice course with good tutorials

por Matthijs K

Feb 06, 2019

Sets you up well for working with Spark within the IBM Environment.

por 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.

por Moiz

Dec 28, 2018

Overall i had a good experience with the course. The course touches a number of components of IBM Cloud platform, that includes IBM Watson Studio (online software development platform) and Node-RED (a flow based programming language for defining data flows). I am happy that this course gave me my first practical experience with Apache Spark. It took me around 10 days to complete this course.

por 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.

por Sunil M

Apr 17, 2017

I wish this was more extensive /detailed course and assignments little bit more complex. The moderator timely response was greatly lacking. If the course instructor is asking the students to try out RDD while the auto-grader depends on SQL, it should have been clarified.

por am

Apr 14, 2017

Nice Course. Going straight forward to the manipulations using spark, and giving a great overview on how to deal with IoT data in the Cloudant NOSQL platform. Would hope to see a new course where we can use MLLIB with massive IoT data to showcase the power of parallel programming!

por Jan D

Mar 19, 2017

Good course with a good Instructor. It's a real basic course and good for beginners, though you need to have to dive into Python and Spark on your own to follow the course and the assignments. :)

por 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.

por Raj N

May 13, 2017

Great introduction to Data Science, IoT and scalable computing!

por Prithvi M

Mar 15, 2018

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

por 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.