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

4.3
712 calificaciones
143 revisiones

Acerca del Curso

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.

RR

Sep 19, 2019

The documents and course materials are not updated frequently (not in synch). Sometimes it took time to set up systems.

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76 - 100 de 144 revisiones para Fundamentals of Scalable Data Science

por Daniel T

Apr 21, 2019

Be careful when signing up for your IBM Cloud Instance and remember to shut it down when you're not using it. I ran out of free hours and unfortunately they're no longer free after the first 30 days which either makes it impossible or expensive to finish this course. Also, 30 days might mean an arbitrary 30 day billing cycle, perhaps starting on the 1st of the month.

por Pawel P

Apr 23, 2019

Too easy to be called advanced. I look forward to seeing what's next.

por Javier A C B

May 07, 2019

Great Job

por Paulo T P

Apr 27, 2019

awesome!

por ASHISH J

Apr 15, 2019

awesome course, got a good understanding of statistics in an intuitive manner.

The main strength of this course is that, this course will help you to develop intuition of the whole data science concepts into the real world scenario.

por Alejandro S M

Mar 25, 2019

Just awesome!

por Zeghraoui M

Mar 26, 2019

I loved it !

por Rohith P

Mar 30, 2019

Good introduction course to Apache Spark and its internals

por Savan R

May 23, 2019

Covers exactly what is required for data science using spark in case IoT data applications and the fundamentals required for the advanced data science topics . I am happy with the course and the topics that I have learned so far!

por Tacio M D

Jun 11, 2019

Very good to follow. Instructor is very clear!

por Roozbeh G

Jun 20, 2019

Well-taught course in an extremely important and sought-after data science field.

por Yue B

Jun 28, 2019

comprehensive and basic

por Ted H

Jul 15, 2019

A really good introduction to Apache Spark. The course has been changed around a lot to conform with the latest syntax and to make it easier to get to work with data. Many of the videos still refer to the old syntax but the examples have all been brought up to date. Students no longer need to generate their own data (with node-Red) but can immediately get to work on pre-generated data. All this change has made some parts of the course a little confusing, but a little perseverance will overcome these problems.

por ujjwal k g

Jul 16, 2019

good one to start

por Alejandro P

Jul 22, 2019

Thanks for the course, i learn so much.

por Michael B

Jul 23, 2019

Extremely well done course!!!

I am not sure what the comments about bugs in the course are about; I did not experience any.

I've taken about a dozen or so courses on Coursera, and this was one of my favorites. Everything is well explained and well laid out.

I'm excited to take the remaining courses in the series :D

por Vasilis K

Jul 28, 2019

Very very good instructor!! And the course was very well structured!

por Lingjun K

Aug 07, 2019

good learning experience!

por YOUSSEF M

Aug 13, 2019

amazing content !!

por Felipe D P B

Aug 09, 2019

Great course!

por ENRIQUE A C A

May 21, 2019

Excellent course

por Paulo R R

Apr 26, 2019

Awesome course!

por Uzwal G

Apr 26, 2019

Thank you

por Jamiil T A

Apr 26, 2019

Excellent. I highly recommend it, jump in and enjoy learning the foundations.

por mohamed a

May 23, 2019

Assignment 2 need more clarficaiton