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

4.3
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1,966 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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376 - 400 sur 442 Avis pour Fundamentals of Scalable Data Science

par Alex K i d V

1 déc. 2021

Gives you a great understanding about the fundamentals and how apache spark works. However, some exercises and files are outdated and it will not take you the amount of time the course info indicate, fow me it was less than half of it

par Slim O

16 avr. 2020

A detailed explanation on the trade off of different approaches that can be used in Big Data but there is not enough examples of manipulating big datasets

par Rama K R

20 avr. 2020

I believe that the assignments of this course should have been a bit more rigorous. Also, there should have a been a bit more focus on Apache Spark.

par Kaiwalya

21 mars 2020

The course content is amazing but the instructor's accent is very difficult to understand and in some videos subtitles in English weren't available.

par Pranav V

5 oct. 2020

give lot of details about pyspark like basics.

its getting hectic with just the small details given in videos.

videos needs to be changed and updated

par Omphemetse M

4 févr. 2021

Good introductory course, however it would be better if the assignments were more involved rather than having the code typed out already for us.

par Zhou M

22 juil. 2021

Some of the content in the video should have been updated due to the change of interface. Had some difficulty setting up the environment.

par Vaishnavi M

18 juin 2020

Topics can be taught a bit more slowly, it was a bit difficult for me to understand. Otherwise, the content covered was very helpful!

par Trung H N

2 août 2021

The content was okay, but it is pretty basic. There is legacy from previous versions of the course that needs better transitions

par BAUDRY S

20 nov. 2019

The functions we need to complete looks quite messy, it'a little bit overwhelming especially for people who start with spark.

par Camilo A S B

5 sept. 2020

I felt the course is out of date and have worked on these classes to update it so that I can run the video classes again

par Mohamed M

5 avr. 2020

the assignment is required to be in sparkaql functions however the course is just using spark with built in functions

par Nikhilanj P

6 sept. 2019

Too many legacy issues. Would be better to start a new course altogether and maintain same syntax,etc.

par George H

10 janv. 2020

Analytically very simple, and fails to explain much of the syntax needed for the assignments.

par Mehdi S

7 juin 2020

The videos have not been updated to fix the errors (there is just a hint for a correct code)

par Cesar R

6 juil. 2019

Very basic lessons. Definitely what you would expect from an Advanced course.

par Aniket J

13 mai 2020

Labs are pretty hard. Need to research immensely. Knowledge is great though.

par Muhammad e

23 févr. 2021

The Course is quite basic, however it's useful in building up my knowledge

par Saif U

23 juin 2020

The structure and material quality needs complete revision and improvement

par Xuan H N

2 janv. 2020

More coding please. One doent learn much just by filling out couple words

par Israel F

14 déc. 2020

Too many theory for such little practice. But not bad as an intro.

par Gianluca G

1 juin 2020

A little more deep tutorials on spark language would be useful

par Francesco d C

4 déc. 2019

the assignments could have left more freedom to the student.

par shubo w

5 sept. 2020

Feel like the lecture and assignment are a bit irrelevant

par Phumzile M

27 mars 2022

Great foundational knowledge on scalable data science.