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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

1,698 classificações
364 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: 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 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 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... This course takes four weeks, 4-6h per week...

Melhores avaliações

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!

5 de Mai de 2020

Its a great experience especially with this course. I appreciate Romeo the way he designed the assignments. It brings out the clear understanding.

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151 — 175 de 363 Avaliações para o Fundamentals of Scalable Data Science

por Seif M M

5 de Jul de 2020

very good enhancement in data science

por Nabin R P

1 de Fev de 2020

well explained with relevant examples

por GomathyShankar

30 de Jun de 2020

Excellent Instructions by Mr. Romeo.

por Jinu A

8 de Mar de 2020

Romeo, your an amazing human being!!

por mohamed a

23 de Mai de 2019

Assignment 2 need more clarficaiton


12 de Mai de 2020

Basic but very important in manner

por ashwath s

3 de Fev de 2019

Very helpful staff and instructor

por Ibrahim M N S

14 de Jan de 2019

Was really Good, I loved it ^_^

por Atharva K

24 de Mai de 2020

Amazing Intro to Apache spark.

por Cameron

18 de Ago de 2019

Brilliant course! Get it done!

por Carlos F C d S e S

25 de Dez de 2019

This course changed my life!

por Rahul M

6 de Jul de 2017

Very good learning exposure.

por Mithun P

28 de Mai de 2020

excellent organized course

por Soujanya D

18 de Abr de 2020

Very interesting material!

por Hadhrami A G

3 de Mai de 2020

A very good course indeed

por madfriday

20 de Fev de 2020

very friendly to beginner

por Lingjun K

7 de Ago de 2019

good learning experience!

por Danyang

27 de Out de 2017

Thanks this is exciting!

por Adrian C

7 de Mai de 2020







hing okey, thanks

por Gautham N

24 de Nov de 2019

It's a very good course

por Yue B

28 de Jun de 2019

comprehensive and basic

por Sabri A

7 de Jun de 2020

thanks for the course

por Dr P R K

1 de Out de 2019

excellent experience

por Reetu

12 de Jun de 2018

very well explained!

por mahmut k

4 de Jul de 2018

Useful information!