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学生对 IBM 提供的 Data Science Methodology 的评价和反馈

4.6
21,036 个评分

课程概述

If there is a shortcut to becoming a Data Scientist, then learning to think and work like a successful Data Scientist is it. In this course, you will learn and then apply this methodology that you can use to tackle any Data Science scenario. You’ll explore two notable data science methodologies, Foundational Data Science Methodology, and the six-stage CRISP-DM data science methodology, and learn how to apply these data science methodologies. Most established data scientists follow these or similar methodologies for solving data science problems. Begin by learning about forming the business/research problem Learn how data scientists obtain, prepare, and analyze data. Discover how applying data science methodology practices helps ensure that the data used for problem-solving is relevant and properly manipulated to address the question. Next, learn about building the data model, deploying that model, data storytelling, and obtaining feedback You’ll think like a data scientist and develop your data science methodology skills using a real-world inspired scenario through progressive labs hosted within Jupyter Notebooks and using Python....

热门审阅

JG

Nov 29, 2019

This was a clear and concise overview of the methodology and using the case study really helped (although sometimes it got a bit advanced considering this comes before actually learning models).

HV

May 16, 2021

A bit more complex than what I would have hoped, but the material is still digestible. I think this course could be improve if the lecturer slow down a bit and spend more time on each topic

筛选依据:

2401 - Data Science Methodology 的 2425 个评论(共 2,683 个)

创建者 Alok M

Jan 12, 2020

Better problems (more generalized and relatable) could have been used to describe and make the modules understand better. Not satisfied with this course.

创建者 olu

Mar 31, 2020

Teaches what it's supposed to but could be more indepth in establishing your understanding of the process of methodology from Analysis to Evaluation

创建者 saman e

Sep 11, 2024

The way of teaching was good but i had some issues with marking system. I also reported the issue. But i think learning experience was great to me.

创建者 Alirz110

May 3, 2021

This information is replicated and immersed in the workplace of a data science expert.

In my opinion, there was no need to attend a separate course.

创建者 Lahiri B

Oct 13, 2020

Questions asked during the course videos were repetitive and three of them could not be submitted due to some error, despite trying multiple times.

创建者 SAMYAK S

Apr 14, 2020

It's good but I think the case study is not easy to understand and another case study must be included which easily makes you understand this topic

创建者 Mark H

Jan 30, 2019

Course was ok. It's difficult to formalize data science into a generic methodology where subject matter expertise is separated from the process.

创建者 Baptiste M

Oct 24, 2019

IBM Developer Skills Network tool is a complete disaster, spending more time trying to get what should have been a PDF than actually studying...

创建者 Pedro C F

Feb 18, 2020

the case study is not easy for someone whos is doing it for first time, also you need more text for explaining the approach analytic.

D.S Pedro

创建者 Jennifer K

Apr 4, 2019

The topic is super important and interesting. The content of the course was a bit hard to follow. More real-life examples may have helped.

创建者 Sai T

Oct 22, 2019

The examples used were poor and the definitions of each stage were not concrete, workable definitions but rather very abstract definitions.

创建者 Andrea M

Sep 6, 2019

I guess it is a good course for someone who has never taken any research methods. But having a PhD this course was quite useless for me.

创建者 Patricia S

Oct 4, 2022

i think some concepts should be more explained. I got confused with the technical language of the course. More definitions could help

创建者 Sid

Dec 1, 2019

The example/s (with all due respect to the good knowledge of the author) could be improvised, however

overall, an excellent course!

创建者 Raymond

May 10, 2019

I think it's a little bit vain to introduce in such way for some people without much background in statistics and machine learning .

创建者 Александр Б

Nov 14, 2021

Хороший курс, но я не могу скачать свой сертификат. Обидно, потому что прошёл все задания, но значок не светится в личном кабинете

创建者 Islam M

Dec 13, 2019

the narrator is speaking fastly as i can't understand that with this high rate words with my little english experience in listening

创建者 Amir M

Mar 23, 2023

Good course, but the case studies were not easy to understand. I think more examples are needed to elaborate the DS methodologies.

创建者 christopher a e e

May 23, 2023

Realmente podrían ofrecer mas información detallada acerca de la metodologia e incluir actividades practicas que se puedan hacer

创建者 Rushikesh J

Jun 23, 2021

The course has delivered basic understanding of the flow, but

1)No clear images in videos

2)This could have been more interesting.

创建者 SATHESH M E

Oct 28, 2023

Need more videos from professionals and professors perspective. Now its only look like from only reading the ppts not teaching.

创建者 Josep R C

Apr 22, 2020

Not a complicated course which gives you an accurate, intuitive and useful methodology applicable to any Data Science problems.

创建者 AAKASH K

Apr 3, 2020

Lectures were informative but slow. Need to be more engaging to keep interest ongoing.I dozed off during certain lectures.

创建者 João R d C

Dec 19, 2019

Some of the lectures were not very clear. This grading is based on a comparison with other courses in this specialization.

创建者 Sylwia K

Mar 9, 2019

For me this part was a little too much descriptive and given example (hospital patients) is not very easy to understand