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Opiniones y comentarios de aprendices correspondientes a Fundamentals of Scalable Data Science por parte de IBM

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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...

Principales reseñas

AA
6 de ene. 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!

GA
5 de may. 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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101 - 125 de 367 revisiones para Fundamentals of Scalable Data Science

por Pedro R A

11 de mar. de 2020

Very good introduction to SQL and Apache Spark (and of course parallel computing).

por Juan C A T

16 de jun. de 2020

excelente curso, los ejemplos y ejercicios hacen que sea muy fácil aprender spark

por Roozbeh G

20 de jun. de 2019

Well-taught course in an extremely important and sought-after data science field.

por James B

28 de feb. de 2020

Really liked this course. I found it to be very challenging and lots of fun too!

por Azeezur R

17 de oct. de 2018

Excellent Course with very interesting assignment and informative video course

por Jamiil T A

26 de abr. de 2019

Excellent. I highly recommend it, jump in and enjoy learning the foundations.

por praveen k

11 de nov. de 2019

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

por Khawar A A

27 de ene. de 2019

Great .. !! Big fan of sir Romeo. Great learning and awesome instructor.

por abderrahim b

10 de ene. de 2019

Excellent course! Thanks for giving of your time to share the knowledge!

por Ritaj D

31 de may. de 2020

Simply a great experience, very helpful, and to the point explanations.

por Rahith K

6 de may. de 2020

Great course with many opportunities to learn and apply what you learn.

por Vishal S

24 de sep. de 2018

This was really awesome. I eventually got better at this. Good course.

por Lu L

28 de jun. de 2020

Generally, quite useful, but the program assignment is relative easy.

por Pawel P

23 de abr. de 2019

Too easy to be called advanced. I look forward to seeing what's next.

por Vasilis K

28 de jul. de 2019

Very very good instructor!! And the course was very well structured!

por Prithvi S

28 de oct. de 2019

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

por srinivasareddy c

1 de ene. de 2020

Simply course has a very different and amazing nuances of learning

por Muyanja S Z

12 de nov. de 2019

This has been an interesting and intellectually nourishing course

por George D

5 de ene. de 2019

Great! Good demonstration of basic stats using IBM Cloud & Spark.

por Ulugbek D

26 de ene. de 2020

General into into how to deal with large data using Apache Spark

por BALAJI K

5 de jun. de 2017

This is a very nice introductory course for exploring IoT data.

por Rahul

16 de jul. de 2020

Romeo is Very good at explaining complex things in easy words.

por Vignesh K

27 de jun. de 2020

Excellent opportunity for beginners to gain knowledge on Spark

por Erik A

7 de mar. de 2017

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

por Eric B

10 de may. de 2020

Phenomenal course with great instructor. Definitely recommend