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Отзывы учащихся о курсе Data Analysis Using Pyspark от партнера Coursera Project Network

4.4
звезд
Оценки: 177
Рецензии: 32

О курсе

One of the important topics that every data analyst should be familiar with is the distributed data processing technologies. As a data analyst, you should be able to apply different queries to your dataset to extract useful information out of it. but what if your data is so big that working with it on your local machine is not easy to be done. That is when the distributed data processing and Spark Technology will become handy. So in this project, we are going to work with pyspark module in python and we are going to use google colab environment in order to apply some queries to the dataset we have related to lastfm website which is an online music service where users can listen to different songs. This dataset is containing two csv files listening.csv and genre.csv. Also, we will learn how we can visualize our query results using matplotlib....

Лучшие рецензии

DE
1 нояб. 2020 г.

This course has help equip me with a lot of experience on data analysis and i really love it. Thank you Ahmad Varasteh.\n\nA big thanks to Coursera for creating such a wonderful opportunity.

DM
14 нояб. 2020 г.

Best guided project for an introduction to the PySpark

Фильтр по:

1–25 из 31 отзывов о курсе Data Analysis Using Pyspark

автор: Longlong F

25 авг. 2020 г.

This course is too short and too simple. I was expecting some details in Pyspark or mechanism in RDD. But nothing was shown but just some SQL operations.

автор: upendra m

18 окт. 2020 г.

Too easy for intermediate level.

автор: Gabriel M

26 нояб. 2020 г.

The execution of this course is pretty good. But I wished the PySpark part was way bigger. It's basically a 3 minute introduction into PySpark and the rest done using Spark-like sql-queries.

автор: Agbaeze H

6 авг. 2020 г.

Interesting but no dept

автор: أحمد م ف م س

5 авг. 2020 г.

all is great except the idea of struct function it is a little bit confusing .however all awesome hand-on practice please do more coursers

автор: Ivan T

18 авг. 2020 г.

Instructor is great but the project itself is very short and shallow. If you have no idea where to start - it's ok to start with this course, but if you already have little practice with pandas or want to know how to use PySpark in real HDFS environment - i'm afraid it wont be helpful.

автор: Derek E E

1 нояб. 2020 г.

This course has help equip me with a lot of experience on data analysis and i really love it. Thank you Ahmad Varasteh.

A big thanks to Coursera for creating such a wonderful opportunity.

автор: Oliver E A B

5 июля 2021 г.

I​t is very good, just basic, but if someone has already knowledge in SQL and Python is more than enough to get started.

автор: Devvrat M

14 нояб. 2020 г.

Best guided project for an introduction to the PySpark

автор: Kishore K V

26 июня 2021 г.

This is perfect hands on workshop!

автор: Syed A R

3 нояб. 2020 г.

Excellent course and instructor.

автор: Ajay N

29 окт. 2020 г.

Awesome course for beginners!

автор: Dianel A

10 сент. 2020 г.

Good explaining

автор: Favre d M

15 июля 2021 г.

Très bon cours

автор: Jesus M Z F

9 авг. 2020 г.

Great course

автор: Mohamad F H

28 февр. 2021 г.

Nice course

автор: Артур А

27 авг. 2020 г.

pretty good

автор: Priscila A B

5 апр. 2021 г.

I'm happy!

автор: Diogo J

12 июня 2021 г.

awesome

автор: Mayank y

24 февр. 2021 г.

good

автор: Sebastian D A

20 авг. 2020 г.

Ok, but needs a longer explanation of the functions that are used and its range of possibilites.

автор: Aruparna M

30 янв. 2021 г.

It would have been better if more foundations of Spark framework had been provided

автор: Sourav M

1 сент. 2021 г.

Very focused informative Course

автор: RAVIDIWAKAR K

24 сент. 2021 г.

Nice tutorials

автор: IRIS R M C

15 нояб. 2021 г.

Es muy basico