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學生對 IBM 技能网络 提供的 Fundamentals of Scalable Data Science 的評價和反饋

1,975 個評分


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...




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



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


151 - Fundamentals of Scalable Data Science 的 175 個評論(共 445 個)

創建者 Anton I N B


I learned using Spark with RDDs on IBM Watson Studio 👍

創建者 He Q


easy and understandable, but the assignments lack depth

創建者 Prashanth A


Learned the data manipulation basics in data science

創建者 Hemani B


EXcellent to get in depth knowledge in data science

創建者 Muntakimur R


Very Informative course, thanks IBM for this course

創建者 Ankur S


One of the Best Courses available here on Coursera.

創建者 Phasit C


great introduction about Apache Spark and IBM Cloud

創建者 Mukund S


Really a good course for Data Science Programming.

創建者 Philip L


Love the content, simple and clear are the best.



Very interesting course for the advanced skills

創建者 Julien P


Nice material! Especially the week on plotting.

創建者 Tacio D


Very good to follow. Instructor is very clear!

創建者 Hrishikesh K


One of the best basic course on data science

創建者 Vivek K G


Good Course Content and very well explained!

創建者 Joshua A


Gave excellent starting point for the course

創建者 Jorge S A M B


Conteúdo muito bom, atual e ótima didática!

創建者 Ramil M


Amazing course and especially instructor!!!

創建者 Aishwarya A


should help students in the specialization



It helps building skill. It is very good

創建者 Alejandro P


Thanks for the course, i learn so much.

創建者 Himanshu Y


I will not recommend it for beginners.

創建者 Seif M M


very good enhancement in data science

創建者 Nabin R P


well explained with relevant examples

創建者 Luis C M R


It was amazing. Totally recommended!

創建者 Joe-Kai T


Very nice and well-organized course!