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Вернуться к Fundamentals of Scalable Data Science

Отзывы учащихся о курсе Fundamentals of Scalable Data Science от партнера IBM Skills Network

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Оценки: 1,977

О курсе

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...

Лучшие рецензии

ZS

13 янв. 2021 г.

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.

EH

21 июля 2021 г.

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

Фильтр по:

176–200 из 445 отзывов о курсе Fundamentals of Scalable Data Science

автор: GomathyShankar

•

30 июня 2020 г.

Excellent Instructions by Mr. Romeo.

автор: Jinu K

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8 мар. 2020 г.

Romeo, your an amazing human being!!

автор: mohamed a

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23 мая 2019 г.

Assignment 2 need more clarficaiton

автор: Olga H

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13 февр. 2021 г.

Excellent structured and explained

автор: PRATAP P

•

12 мая 2020 г.

Basic but very important in manner

автор: Anastase N

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10 дек. 2020 г.

Wonderful methodology of learning

автор: Ashwath S

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3 февр. 2019 г.

Very helpful staff and instructor

автор: Ibrahim M N S

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14 янв. 2019 г.

Was really Good, I loved it ^_^

автор: Atharva K

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24 мая 2020 г.

Amazing Intro to Apache spark.

автор: cameron g

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18 авг. 2019 г.

Brilliant course! Get it done!

автор: CARLOS S

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25 дек. 2019 г.

This course changed my life!

автор: Rahul M

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6 июля 2017 г.

Very good learning exposure.

автор: Mithun P

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28 мая 2020 г.

excellent organized course

автор: Soujanya D

•

18 апр. 2020 г.

Very interesting material!

автор: Toni P

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21 дек. 2020 г.

Great Experience With IBM

автор: Hadhrami A G

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3 мая 2020 г.

A very good course indeed

автор: madfriday

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20 февр. 2020 г.

very friendly to beginner

автор: Lingjun K

•

7 авг. 2019 г.

good learning experience!

автор: Dan Z

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27 окт. 2017 г.

Thanks this is exciting!

автор: Adrian C F

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7 мая 2020 г.

e

v

e

r

y

t

hing okey, thanks

автор: Gautham N

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24 нояб. 2019 г.

It's a very good course

автор: Yue B

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28 июня 2019 г.

comprehensive and basic

автор: Aishick C

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1 дек. 2020 г.

it was amazing course

автор: Sabri A

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7 июня 2020 г.

thanks for the course

автор: RK

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1 окт. 2019 г.

excellent experience

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