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Comentários e feedback de alunos de Fundamentals of Scalable Data Science da instituição IBM

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399 avaliações

Sobre o 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 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...

Melhores avaliações

ZS
13 de Jan 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.

AA
6 de Jan de 2020

A very nice introduction to Apache Spark and it's environment. As a bonus, it's also a very nice refresher to your basic statistics!!! Great course!

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301 — 325 de 398 Avaliações para o Fundamentals of Scalable Data Science

por Suyash

23 de Set de 2019

There are a lot of glitch with the assignments, hope it gets fixed soon

por Pablo R L

22 de Mai de 2020

Too advanced material for introductory course. Excellent exercises.

por Matthijs K

6 de Fev de 2019

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

por Vinita S

20 de Set de 2020

Harder assignments would been nice and maybe a little more reading

por Tushar J

14 de Jul de 2020

Good course. The pace was good and the material was enough for me.

por Zheng Y

10 de Abr de 2020

Assignments are too simple -- too similar to the course material.

por Harsh D

3 de Fev de 2019

Quite Good. But sometimes i had trouble following instructions.

por Raj N

13 de Mai de 2017

Great introduction to Data Science, IoT and scalable computing!

por Abhay B K M

3 de Jul de 2020

It is hard to follow as it is very advanced and unevenly paced

por Daniel H

20 de Dez de 2020

Short and to the point lessons.

Exercises somewhat too easy.

por ANUBHAV M

27 de Abr de 2020

More interaction with the instructor would be appreciated.

por Dmytro T

18 de Jun de 2019

Cool as for first benchmark. But a bit a lot of IBM tools)

por Jonathan H

9 de Fev de 2019

Good course, instructor was extremely knowledgeable.

por JunYeol L

26 de Jun de 2020

It's really good and easy to learn about pyspark.

por Atif A G

10 de Jun de 2020

Good Course but could have had a lot more detail.

por Tinguaro B

4 de Out de 2018

Great introduction to Data Science on IBM Cloud.

por Giovani F M

20 de Dez de 2019

Great course to learn basic knowledge in spark!

por Akash S

4 de Jul de 2020

Good course, but assignments are a bit easy

por Francesco C

25 de Fev de 2021

Good explanation. Perfect starting course.

por Rong L

18 de Jul de 2020

The instructor can be a bit slower.

por EMMANUEL N

10 de Abr de 2019

Nice course with good tutorials

por Heyimeng

21 de Out de 2020

i think it is a bit too simple

por Caner B B

19 de Nov de 2020

please include more practice

por Michal P

28 de Mar de 2019

Very nice introduction

por Elias L

31 de Dez de 2018

Have been a good one!