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

4.3
1,705 個評分
366 條評論

課程概述

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...

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AA
2020年1月6日

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
2020年5月5日

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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201 - Fundamentals of Scalable Data Science 的 225 個評論(共 365 個)

創建者 Anand M

2020年6月23日

very nice

創建者 NIKHIL S C

2020年6月8日

very nice

創建者 Lahcene O M

2020年4月4日

Great job

創建者 Charles-Antoine d T

2019年10月10日

very good

創建者 Javier A C B

2019年5月7日

Great Job

創建者 Uzwal G

2019年4月26日

Thank you

創建者 Alessandro R M

2019年1月5日

excellent

創建者 Ahmad e D

2020年11月12日

🔥🔥🔥🔥

創建者 Paulo T P

2019年4月27日

awesome!

創建者 ARUL N J

2020年9月29日

Nothing

創建者 Venkadesh

2020年11月27日

good

創建者 Yash V

2020年9月8日

Good

創建者 Sakshi U

2020年7月24日

nice

創建者 Rifat R

2020年7月14日

Good

創建者 Ankit M

2019年12月1日

good

創建者 Waleed M S A A A G

2019年2月8日

ز

創建者 Guido P

2020年5月3日

The first course "Fundamentals of Scalable Data Science" on the specialization "Advanced Data Science with IBM" provides a good overview on theory, methods and tools you need for larg-scale data analysis. It requires basic to intermediate knowledge of Python and math. But it helps if you have experience beyond that to understand some ideas quicker and get the broader context.

Potential learners should know - as it is the normal thing with teaching/learning something - the teachers can't teach you something; you have to learn it. Means: spent some time beyond the time you need to consume the material from coursera. For example, I wrote five pages on the basics on statistics. It really helps! Again, the teachers organize a well well structured journey through the course material, but the just point to things that might be interesting.

On recommendation/request for improving quality of the provided videos: the are quite outdated. Date back to 2016/2017 and use Python 2 (which is not longer maintaned since 2020). Using the old python isn't too much of a problem, but it certainly does not help to learn effectively. The bigger problem is that the shown code is massively annotated with corrections and updates. These are all correct and helpful. But simply creating an updated video is way easier to consume. Just image a studend would submit his/her thesis as a draft plus a chain of 3 patches that have to applied on the thesis draft version. Not too handy, uhhm!?

創建者 Alfredo P

2020年3月6日

My 4-star review is based on the many errors the course has. The material s great and the instructor is very knowledgable and seems to be on top of the class, however, I did not get a single reply of the notes I posted in the forum.

Besides the structure, the class requires revision due to inconsistencies and errors. It is surprising that topics have not been updated after many comments in the discussion forum.

Overall for me, it was a great experience and great learning experience

創建者 Scott B

2020年5月2日

The content is great and applicable to industry. My only critique is that the coding assignments had been too simple. I would have preferred less hand-holding and more examples to work through to ensure the learner truly conceptualizes the process. With that said, it is easy enough for a learner to apply the process to other applications and understand how the pieces fit together for more real-world application.

創建者 Moiz

2018年12月28日

Overall i had a good experience with the course. The course touches a number of components of IBM Cloud platform, that includes IBM Watson Studio (online software development platform) and Node-RED (a flow based programming language for defining data flows). I am happy that this course gave me my first practical experience with Apache Spark. It took me around 10 days to complete this course.

創建者 Pierre-Matthieu P

2019年11月24日

I've gained plenty of interesting information and valuable hands-on experience. I had to work for it a little more than I should have, however. The lecturer has a strong accent, speaks very fast and the subtitles are mostly useless as they are wrong more often than not. If you take this course, be prepared to take plenty of notes and watch the videos several times.

創建者 Markochev S

2019年5月27日

I would like to thank the authors of this course. It gives great introduction into Apache Spark and its applications in real problems. The only thing I would like to notice is that assignments could be a bit more complicated. Writing any code from scratch is much better for a future Data Scientist than just 'fill in' gaps in the existing code.

創建者 Madison H

2020年4月20日

the material in this course was interesting and I learned a lot in a short time. I now understand how to deal with big data using Spark which is exactly what I wanted. One thing I wish was different was the code in the submission notebooks. I wish the functions we wrote had parameters for example instead of basically just running a script.

創建者 Ahmad R J

2019年11月23日

I liked the course because it introduced me to new topics but it did not really go further as expected from an advanced specialization. Maybe when I finished other courses, I find out that it well prepared me for the rest. However, please provide more sample datasets, similar questions, and generally more practice.

創建者 Jarryd

2020年3月8日

A very slow beginning although that is to be expected so that the course can draw in people from a wide range of backgrounds. Still a little tedious for someone with a little more of a background. Very well organized and it seems like a great introduction to Spark / Pyspark for those just beginning with this tool.