Chevron Left
Retour à Fundamentals of Scalable Data Science

Avis et commentaires pour d'étudiants pour Fundamentals of Scalable Data Science par Réseau de compétences IBM

2,006 évaluations

À propos du cours

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...

Meilleurs avis


13 janv. 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.


21 juil. 2021

Nice course. Learned the basics of a lot of different topics. Nice to do a large Data Science project in the last part. So you can apply all learned theory

Filtrer par :

101 - 125 sur 450 Avis pour Fundamentals of Scalable Data Science

par Preyash G

20 avr. 2020

This is one of the best course I came across so far, please keep on updating and adding such courses, Thank You

par adele c

9 avr. 2021

Easy to follow, excellent explanations, IBM Watson notebooks super easy to run and follow (maybe too easy)

par Sabestin N

14 juil. 2020

Thank you so much for giving good exposure. for a basic starting machine learning career for student.


29 avr. 2020

Excellent teaching by the instructor and user friendly well designed assignment platforms and quizzes

par Nawas N

19 juin 2020

The course was well crafted enabling one to apply knowledge acquired in easy way in the assessments.

par edoardo b

29 juin 2018

A wonderful course enjoyable and useful for my professional objective. Very thanks to the teacher

par Elena F

28 avr. 2020

Nice and well-structured introduction to Spark; clear, accessible and useful quizzes / exercices

par Dhinson G D

1 oct. 2019

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

par Akula B R

3 juil. 2020


par Kuhaneswaran G

29 mai 2020

Good guidance and a great start up for beginners as well a beneficial during this Covid-19

par Bruno D d S

21 avr. 2020

Professor muito bem qualificado e super atencioso em suas explicações.

Curso sensacional!

par PSD P

3 juil. 2020

Great Course content.

It would be great if you can elaborate more on coding with pyspark

par Sven

5 oct. 2018

Very good data science specialization covering many interesting advanced technologies!

par Anggi F S

9 nov. 2022

The sound of the video is too low, then i can not listen the sound of video so close

par Anh-Quang N

18 mai 2020

A great beginning course to learn about pyspark and the fundamentals of data science

par kagiso M

31 juil. 2020

Great course, just challenging enough but not too much. The instructor is awesome.

par Pedro R A

11 mars 2020

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

par Juan C A T

16 juin 2020

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

par roozbeh g

20 juin 2019

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

par James B

28 févr. 2020

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

par Azeezur R

17 oct. 2018

Excellent Course with very interesting assignment and informative video course

par Jamiil T A

26 avr. 2019

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

par praveen k

11 nov. 2019

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

par Khawar A A

27 janv. 2019

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

par Abderrahim B

10 janv. 2019

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