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

4.6
20,944 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

HO

Jun 15, 2020

Great Course. It was a simple course and to the point. It explained the concepts perfectly for future advancement. I think the theory in here could be applied to any problem data science or not

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).

筛选依据:

2451 - Data Science Methodology 的 2475 个评论(共 2,652 个)

创建者 Clifton W

Sep 4, 2023

The case study was difficult to follow and understand at times.

创建者 Michael O

Apr 15, 2021

A good introduction to some of the basic ideas of data science.

创建者 Wali A

May 27, 2023

A little boring in begining of course! but intresting at last

创建者 Amanda C

Dec 18, 2019

This course teaches memorization of a proprietary flow chart.

创建者 Sourabh S

May 9, 2020

Very Theoritical Course, and honestly a bit boring as well.

创建者 Avinash K

Feb 19, 2020

Bit confusing - especially the analytical approach chapter.

创建者 Leon W

Apr 3, 2022

Good structure

I think I spotted 1 content-related mistake

创建者 Veera v p p P

Sep 8, 2020

Modelling and Evaluation needs more examples for beginners

创建者 HansMomento

Sep 23, 2025

I hope there are courses with human instructors not AI.

创建者 Cylia C

Jun 25, 2025

je n 'arrive pas à savoir si j'ai bien validé ce module

创建者 hassan a

May 17, 2020

Course is more on theory but less on practical approach

创建者 Chris L

Oct 15, 2019

common sense is rated as professional in this course.

创建者 Aleix C T

Jul 17, 2019

good content, surprisingly weak delivery and teching

创建者 Stuart B

Jul 28, 2022

technical difficulties with the ungraded workbook

创建者 Leandro S

May 8, 2020

More deep treatment for some concepts are necesary

创建者 V S G

Apr 12, 2020

More real-time cases can help to understand better

创建者 Mohamed K

Dec 23, 2020

The case study in the video was a bit complicated

创建者 Julio R G

Jan 17, 2020

Too many terms without explanation as to meaning.

创建者 Harpreet S

May 27, 2019

please update video with new IBM cloud UI screen

创建者 Quang T Đ

Dec 2, 2020

More examples for each phase of the methodology

创建者 Gopal P

Jun 24, 2023

The case study was difficult to understand

创建者 Vladimir R

Oct 6, 2018

confusing questions about the same subject

创建者 Deepanshu G

May 17, 2020

content is good but can be more engaging.

创建者 Maria T C

Dec 28, 2020

Very monotonous videos, boring course.

创建者 Md S A

Aug 5, 2019

The cognitive classes can be improved.