Data Science Methodologies: Making Business Sense (Update FY25 Q2) (Lite)

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Neelam Dwivedi

1:49:17

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01 Introduction

001 Models and the real world.mp4

01:09

002 What you should know.mp4

02:21

02 Methodologies for Data Scientists

001 Why methodologies.mp4

07:13

002 Data science vs. software engineering.mp4

04:51

003 Data mining methodologies.mp4

10:30

004 Software engineering methodologies in data science.mp4

09:36

03 Deploy and Consume a Model

001 Where to begin .mp4

06:56

002 Development architecture.mp4

07:08

003 Deploy the model.mp4

09:31

004 Consume the model.mp4

10:00

005 Challenge 1.mp4

03:07

006 Solution 1.mp4

09:16

04 Take a Model from Dev to Staging

001 Set up a CI CD pipeline.mp4

08:08

002 Deploy the app.mp4

05:12

003 The roadmap.mp4

02:59

004 Challenge 2.mp4

01:08

005 Solution 2.mp4

08:36

05 Conclusion

001 Furthering applications of data science methodologies.mp4

01:36

Description

There is an increasing recognition that data science needs to go beyond small-scale experimentation to a large-scale implementation. In this course, Neelam Dwivedi brings software engineering and data mining methodologies to data scientists, then applies these ideas by taking a simple business need through an entire life cycle—hosting a model, consuming it in a web application, and setting up its CI/CD pipeline. Neelam begins by explaining the methodologies used in the course and how they are combined. She shows you where to begin in developing architecture and deploying a model, then explains how larger web applications may consume the model as a service. Neelam covers how to stage your model and the app, as well as how to plan ahead with an overall roadmap. She concludes with thoughts on how to further applications of data science methodologies.

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Data Science

Business Fundamentals

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Neelam Dwivedi

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.