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Voltar para Fundamentals of Scalable Data Science

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

4.3
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1,763 classificações
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381 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!

Filtrar por:

126 — 150 de 381 Avaliações para o Fundamentals of Scalable Data Science

por Vignesh

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27 de Jun de 2020

Excellent opportunity for beginners to gain knowledge on Spark

por Erik A

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7 de Mar de 2017

This was a good course. The autograder has some issues though.

por Eric B

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10 de Mai de 2020

Phenomenal course with great instructor. Definitely recommend

por Sushil A

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19 de Abr de 2020

A nice course, more practical examples will be appreciated.

por Tom V

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22 de Nov de 2019

Nice course covering the basics. Not very difficult though.

por Santos P C

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25 de Abr de 2017

I like it for beginners. Is a good satarting point. Thanks.

por NAVNEETH V H R D o E

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3 de Jul de 2020

Good experience and the pace of the course was a bit fast.

por Rohith P

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30 de Mar de 2019

Good introduction course to Apache Spark and its internals

por likhith k

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27 de Nov de 2020

Course gives a clear knowledge on basics of data science.

por Ojo s

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9 de Out de 2020

Very detailed and well taught. The tutor did a great job

por Tram N L

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18 de Mai de 2020

detailed instructions and easy to understand explanation

por Anton I N B

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5 de Mar de 2020

I learned using Spark with RDDs on IBM Watson Studio 👍

por He Q

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26 de Ago de 2019

easy and understandable, but the assignments lack depth

por Prashanth A

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27 de Jun de 2020

Learned the data manipulation basics in data science

por hemani

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12 de Jun de 2020

EXcellent to get in depth knowledge in data science

por Muntakimur R

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15 de Nov de 2019

Very Informative course, thanks IBM for this course

por Ankur S

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12 de Nov de 2019

One of the Best Courses available here on Coursera.

por Phasit C

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2 de Set de 2018

great introduction about Apache Spark and IBM Cloud

por Mukund S

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4 de Jun de 2020

Really a good course for Data Science Programming.

por Phuoc H L

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28 de Dez de 2019

Love the content, simple and clear are the best.

por Julien P

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15 de Set de 2019

Nice material! Especially the week on plotting.

por Tacio D

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10 de Jun de 2019

Very good to follow. Instructor is very clear!

por Vivek K G

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26 de Jul de 2020

Good Course Content and very well explained!

por Joshua A

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28 de Out de 2019

Gave excellent starting point for the course

por Jorge S A M B

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13 de Nov de 2019

Conteúdo muito bom, atual e ótima didática!

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