Chevron Left
返回到 Data Science Methodology

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

4.6
20,992 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

MB

Sep 18, 2020

It is self paced giving a good grounding on the subject provided you are an inquisitive & enthusiastic learner. It does not provide a deep dive but gives a road map for self learning.

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:

751 - Data Science Methodology 的 775 个评论(共 2,665 个)

创建者 Paritas S

Jan 2, 2023

This is valuable with reasonable my workload.

5 starts for 'Less is More'

创建者 Jalal R

Apr 28, 2022

It was very usefull course, I like to follow other course in this series

创建者 kanupriya k

Jun 3, 2020

Well compiled to understand the nuances of different data methodologies!

创建者 kiran v

May 3, 2020

This is unique and good syllabus. I dont regret spending my time on this

创建者 Parth P

Feb 26, 2020

It is an excellent course. All the CRISM-DM steps are clearly explained.

创建者 Arun N

Feb 16, 2020

This course helped me in writing the approach note for real-life project

创建者 Ravi N

Jan 2, 2020

I was a bit distracted... but reviews helped... and thanks for extending

创建者 Shaheryar

Sep 10, 2019

One of the best courses I currently had. Explains things in good manner.

创建者 Rafael D B

Jun 5, 2019

This course was better than the last, clearer and with better exercises.

创建者 Overs M

Oct 13, 2022

An exciting , educative course in the professional data science series

创建者 JOHN D K F

Jul 26, 2022

The course is extremely beneficial to one's career and personal growth.

创建者 Dickson M K

Oct 4, 2021

Organized, well-articulated and informative. The instructor was amazing

创建者 Juan A M C

Sep 3, 2021

This course helps to understand all the methodology behind data science

创建者 John L

Jan 7, 2021

Excellent input, It will be very helpful for us students in the future.

创建者 Dheeraj k S

Nov 4, 2020

A clear step-by-step guide to approach a problem to solution with Data.

创建者 Ankur S

Apr 5, 2020

Very nice course to explain all the phases of data science methodology.

创建者 Piotr M

Feb 24, 2020

A short course to give basic understanding of data science methodology.

创建者 abhishek p

Oct 21, 2019

this is really helpful to understand the concepts of data science cycle

创建者 Cristian R R

Oct 5, 2019

It's great that you see a study case when you're learning something new

创建者 Winston C

Sep 4, 2019

i like the course but i do think you need more detailed demonstrations.

创建者 Emi H

Jun 6, 2019

It is a good course for gaining foundational knowledge in data science.

创建者 Vinay K M

May 29, 2019

Course will explain in details of reporting and how to collect the data

创建者 Chris B

Apr 10, 2022

Great description of the CRISP-DM model and what occurs in each stage.

创建者 Subhadip P

Jan 10, 2022

Excellent Course for beginners. Especially case studies are brilliant.