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

1,965 évaluations
440 avis

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


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


19 juin 2021

Great Course but this would have been even a better course if more concepts and details were covered in it. Anyways, still a great course for beginners

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201 - 225 sur 442 Avis pour Fundamentals of Scalable Data Science

par Reetu

12 juin 2018

very well explained!

par mahmut k

4 juil. 2018

Useful information!

par Soumyajit D

2 oct. 2020

very good ,awesome


13 août 2019

amazing content !!

par George K

24 déc. 2018

Very good teacher.

par Dimitris C

31 mars 2021

Excellent course!

par Bikash R

20 nov. 2019

PCA part was fun!

par Ujjwal G

16 juil. 2019

good one to start


5 août 2020

nice course, thx

par Madan T

30 oct. 2019

Excellent course

par Saman S

26 oct. 2019

that's wonderful

par Enrique C

21 mai 2019

Excellent course

par alamelumuralidaran

18 févr. 2019

Wonderful course

par Mr.D.Premkumar A P

29 sept. 2020

super tq to all

par Paulo R R

26 avr. 2019

Awesome course!

par Bruno M A A

20 déc. 2018

very practical.

par Kevin R L

4 avr. 2020

awesome course

par Ankur K S

24 sept. 2021


par Manjula

21 juil. 2020

good platform

par Alex N

16 mai 2020

Great course!

par Felipe P

9 août 2019

Great course!

par Alejandro S M

25 mars 2019

Just awesome!

par Aymen R

30 juin 2020

good course!

par Prabakaran C

8 févr. 2020

Great course

par Zeghraoui M

26 mars 2019

I loved it !