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

4.3
840 classificações
175 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 This course takes four weeks, 4-6h per week...

Melhores avaliações

XW

Apr 11, 2017

Very useful courses to take if you are beginner of data science. The course was not detailed enough sometime. But you will surely get a global view of IOT data analysis after this courses.

HS

Sep 10, 2017

A perfect course to pace off with exploration towards sensor-data analytics using Apache Spark and python libraries.\n\nKudos man.

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101 — 125 de {totalReviews} Avaliações para o Fundamentals of Scalable Data Science

por Cameron

Aug 18, 2019

Brilliant course! Get it done!

por He Q

Aug 26, 2019

easy and understandable, but the assignments lack depth

por Julien P

Sep 15, 2019

Nice material! Especially the week on plotting.

por Saman S

Oct 26, 2019

that's wonderful

por Octavio A T N

Oct 26, 2019

This is a very good Data Science course. It helped me a lot to think in realistic application of Data Analysis. Impressive !!!

por PV R K

Oct 01, 2019

excellent experience

por Dhinson G D

Oct 01, 2019

I love the course content. Simple but very informative and provides good practical exercises.

por Muntakimur R

Nov 15, 2019

Very Informative course, thanks IBM for this course

por Ankur S

Nov 12, 2019

One of the Best Courses available here on Coursera.

por Jorge S A M B

Nov 13, 2019

Conteúdo muito bom, atual e ótima didática!

por Muyanja S Z

Nov 13, 2019

This has been an interesting and intellectually nourishing course

por praveen k

Nov 12, 2019

First time I got the change to work on cloud data (big data). Thanks to IBM

por Charles-Antoine d T

Oct 10, 2019

very good

por Bikash R

Nov 21, 2019

PCA part was fun!

por Tom V

Nov 22, 2019

Nice course covering the basics. Not very difficult though.

por Gautham N

Nov 24, 2019

It's a very good course

por Joshua A

Oct 28, 2019

Gave excellent starting point for the course

por Prithvi S

Oct 28, 2019

Great course, I really liked Romeo's explanation and learned a lot.

por Madan K

Oct 31, 2019

Excellent course

por Oritseweyinmi H A

Nov 04, 2019

Strong introduction into parallel computing and big data processing. Romeo's expertise on the subject matter, combined with his love for teaching was on show during this course. He did a great job explaining the theoretical aspects, and slowly but surely introducing us into the practical aspects as well, through the programming exercises. All in all, this has proved to be a high quality introduction into this space and I'm excited to take the next step, learn more and apply the fundamentals I have picked up here.

por Ankit M

Dec 01, 2019

good

por Elias L

Dec 31, 2018

Have been a good one!

por Revalino J C S

Jan 04, 2019

The environment setup is a little cumbersome due to constant changes in UI.

por Mortaja A

Jan 05, 2019

structure and instruction to setup of ibm clound and ibm watson needs improvement. overall good instructions and flow.

por Harsh D

Feb 03, 2019

Quite Good. But sometimes i had trouble following instructions.