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412 Bewertungen

Über den Kurs

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...

Top-Bewertungen

ZS
13. Jan. 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.

AE
25. März 2021

It's good but it really requires someone who knows and even master Spark Apache(+SQL fundamentals) so that you can follow and understand and take advantage of the course

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101 - 125 von 412 Bewertungen für Fundamentals of Scalable Data Science

von SHAHAPURKAR S M

29. Apr. 2020

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

von Nawas N

19. Juni 2020

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

von edoardo b

29. Juni 2018

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

von Elena F

28. Apr. 2020

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

von Dhinson G D

1. Okt. 2019

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

von Akula B R

3. Juli 2020

THE COURSE CONTENT WAS HELPUL FOR STARTING WITH APACHE SPARK AND PYTHON USING APACHE SPARK.

von Kuhaneswaran G

29. Mai 2020

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

von Bruno D d S

21. Apr. 2020

Professor muito bem qualificado e super atencioso em suas explicações.

Curso sensacional!

von PSD P

3. Juli 2020

Great Course content.

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

von Sven

5. Okt. 2018

Very good data science specialization covering many interesting advanced technologies!

von Anh-Quang N

18. Mai 2020

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

von kagiso M

31. Juli 2020

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

von Pedro R A

11. März 2020

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

von juan c a t

16. Juni 2020

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

von Roozbeh G

20. Juni 2019

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

von James B

28. Feb. 2020

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

von azeezur r

17. Okt. 2018

Excellent Course with very interesting assignment and informative video course

von Jamiil T A

26. Apr. 2019

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

von praveen k

11. Nov. 2019

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

von Khawar A A

27. Jan. 2019

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

von abderrahim b

10. Jan. 2019

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

von RITAJ D

31. Mai 2020

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

von Rahith K

6. Mai 2020

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

von Vishal S

24. Sep. 2018

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

von Lu L

28. Juni 2020

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