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
星
21,050 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

TL

Mar 31, 2019

It just totally rebuilds my mind in thinking about how I should approach solving problems. I feel that I'm learning strong framework for an evidence-based logical approach. Just like a consultant.

NN

Jul 6, 2019

I like the way they provide sample with food preparation on each of the stage of data science methodology. Need to give more sample for the study case to give more insight and understanding.

筛选依据：

2126 - Data Science Methodology 的 2150 个评论（共 2,684 个）

创建者 Sathiya P

•

Aug 3, 2019

It was good, but it could have been made slightly simple

创建者 Mohitkumar R

•

Nov 16, 2018

Great knowledge to methdology and data science thinking.

创建者 Maxim V

•

Oct 16, 2018

actually not useful for anyone who did research projects

创建者 Yugal B M

•

Apr 26, 2020

The case study used was little bit tough to understand.

创建者 Md M S

•

Jan 10, 2020

Everything was good. But the presentation wasn't clear.

创建者 JOSE L A P

•

Jan 8, 2026

Now I got the framework to investigate in Data Science

创建者 ZOUZOU K F R

•

Apr 24, 2021

Très ravi j'ai appris beaucoup de choses avec ce cours

创建者 Ajay M

•

Nov 25, 2019

Great Explanation, Could have one more Test case study

创建者 Pratheek A

•

Jun 3, 2019

More examples are required regarding data methodology.

创建者 Jack Z L

•

Nov 17, 2020

The case study is a little bit hard for me to follow.

创建者 Pritam D

•

Jun 11, 2019

One peer gave me fewer points in my final assignment.

创建者 ROHAN M

•

Nov 5, 2023

I think there must be more emphasize on hands on lab

创建者 Srinivasa R S R

•

Feb 5, 2020

Good course, concepts where presented in proper way.

创建者 Spataru N

•

Oct 9, 2018

Very good course. The case study wasn't my favorite.

创建者 Lawrence A

•

Apr 26, 2020

the difficulty level is just ok as well as the pace

创建者 Thomas L

•

Mar 21, 2020

there is some issues using the Jupyterlab sometimes

创建者 Nguyễn H V

•

Mar 3, 2020

Goods thing for everyone need improve your carreer.

创建者 Usman S

•

Aug 25, 2019

i think going into more depth would have been great

创建者 TATENDA Y G

•

Feb 10, 2019

Heavy

Am confident to say am a "Confident Novice DS"

创建者 Xumin A

•

Dec 20, 2018

The Course clarified the procedure of data science.

创建者 M T B A

•

Oct 29, 2023

learn lot of thing from it very effective course ,

创建者 Redi S

•

Apr 30, 2018

great to start my process learning of data science

创建者 Jayanthi P

•

Nov 6, 2022

Find it very good. Narration can be more precuse,

创建者 Iddrisu R

•

Mar 20, 2022

Good explanations with indepth llustillustrations

创建者 Omar F

•

Apr 16, 2020

Need more explaining of the analytical tools used