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Avis et commentaires pour d'étudiants pour Fundamentals of Scalable Data Science par IBM

4.3
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1,965 évaluations
•
440 avis

À propos du cours

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...

Meilleurs avis

EH

21 juil. 2021

Nice course. Learned the basics of a lot of different topics. Nice to do a large Data Science project in the last part. So you can apply all learned theory

MA

19 juin 2021

Great Course but this would have been even a better course if more concepts and details were covered in it. Anyways, still a great course for beginners

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326 - 350 sur 442 Avis pour Fundamentals of Scalable Data Science

par Vinita S

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20 sept. 2020

Harder assignments would been nice and maybe a little more reading

par Tushar J

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14 juil. 2020

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

par Yifei Z

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10 avr. 2020

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

par Harsh D

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3 févr. 2019

Quite Good. But sometimes i had trouble following instructions.

par Raj N

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13 mai 2017

Great introduction to Data Science, IoT and scalable computing!

par Abhay B K M

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3 juil. 2020

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

par Daniel H

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20 déc. 2020

Short and to the point lessons.

Exercises somewhat too easy.

par ANUBHAV M

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27 avr. 2020

More interaction with the instructor would be appreciated.

par Dmytro T

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18 juin 2019

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

par Jon H

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9 févr. 2019

Good course, instructor was extremely knowledgeable.

par Hunter P

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11 mai 2021

Great course! Could delve deeper into more topics.

par quais z

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15 avr. 2022

The content was good although needs to be updated

par JunYeol L

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26 juin 2020

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

par Atif A G

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10 juin 2020

Good Course but could have had a lot more detail.

par Tinguaro B

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4 oct. 2018

Great introduction to Data Science on IBM Cloud.

par Giovani F M

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20 déc. 2019

Great course to learn basic knowledge in spark!

par Akash S

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4 juil. 2020

Good course, but assignments are a bit easy

par Francesco C

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25 févr. 2021

Good explanation. Perfect starting course.

par Rong L

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18 juil. 2020

The instructor can be a bit slower.

par EMMANUEL N

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10 avr. 2019

Nice course with good tutorials

par Heyimeng

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21 oct. 2020

i think it is a bit too simple

par Caner B B

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19 nov. 2020

please include more practice

par Michal P

•

28 mars 2019

Very nice introduction

par Elias L

•

31 déc. 2018

Have been a good one!

par jin p

•

4 juin 2019

Thanks, really helps

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