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

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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 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...

Principales reseñas

ZS
13 de ene. de 2021

The contents of this course are really practical and to the point. The examples and notebooks are also up to date and are very useful. i really recommend this course if you want to start with Spark.

AE
25 de mar. de 2021

It's good but it really requires someone who knows and even master Spark Apache(+SQL fundamentals) so that you can follow and understand and take advantage of the course

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126 - 150 de 412 revisiones para Fundamentals of Scalable Data Science

por Pawel P

23 de abr. de 2019

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

por Vasilis K

28 de jul. de 2019

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

por Prithvi S

28 de oct. de 2019

Great course, I really liked Romeo's explanation and learned a lot.

por srinivasareddy c

1 de ene. de 2020

Simply course has a very different and amazing nuances of learning

por Muyanja S Z

12 de nov. de 2019

This has been an interesting and intellectually nourishing course

por George D

5 de ene. de 2019

Great! Good demonstration of basic stats using IBM Cloud & Spark.

por Ulugbek D

26 de ene. de 2020

General into into how to deal with large data using Apache Spark

por BALAJI K

5 de jun. de 2017

This is a very nice introductory course for exploring IoT data.

por Rahul

16 de jul. de 2020

Romeo is Very good at explaining complex things in easy words.

por Vignesh

27 de jun. de 2020

Excellent opportunity for beginners to gain knowledge on Spark

por Erik A

7 de mar. de 2017

This was a good course. The autograder has some issues though.

por Eric B

10 de may. de 2020

Phenomenal course with great instructor. Definitely recommend

por Sushil A

19 de abr. de 2020

A nice course, more practical examples will be appreciated.

por Tom V

22 de nov. de 2019

Nice course covering the basics. Not very difficult though.

por Santos P C

25 de abr. de 2017

I like it for beginners. Is a good satarting point. Thanks.

por NAVNEETH V H R D o E

3 de jul. de 2020

Good experience and the pace of the course was a bit fast.

por Rohith P

30 de mar. de 2019

Good introduction course to Apache Spark and its internals

por likhith k

27 de nov. de 2020

Course gives a clear knowledge on basics of data science.

por Ojo s

9 de oct. de 2020

Very detailed and well taught. The tutor did a great job

por Tram N L

18 de may. de 2020

detailed instructions and easy to understand explanation

por Anton I N B

5 de mar. de 2020

I learned using Spark with RDDs on IBM Watson Studio 👍

por He Q

26 de ago. de 2019

easy and understandable, but the assignments lack depth

por Prashanth A

27 de jun. de 2020

Learned the data manipulation basics in data science

por Hemani B

12 de jun. de 2020

EXcellent to get in depth knowledge in data science

por Muntakimur R

15 de nov. de 2019

Very Informative course, thanks IBM for this course