Advanced SQL: Solving Interpolation Challenges

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Ami Levin

1:22:13

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[1] Introduction

[1] Course introduction.mp4

02:00

[2] Agenda.mp4

01:13

[3] Setting expectations.mp4

07:14

[2] 1. What Is Interpolation

[1] Curve fitting.mp4

02:39

[2] Interpolations.mp4

03:07

[3] The Formula 1 demo database.mp4

02:26

[3] 2. Methodology

[1] Auxiliary data.mp4

02:38

[2] Solution methodology.mp4

12:08

[4] 3. Proximal Interpolations

[1] Definition.mp4

02:03

[2] Proximal interpolation.mp4

18:08

[3] Challenge Multiple sensors.mp4

00:35

[4] Solution Multiple sensors.mp4

04:25

[5] 4. Linear Interpolations

[1] Definition.mp4

02:48

[2] Linear interpolation.mp4

08:08

[3] Challenge Linear interpolation.mp4

00:45

[4] Solution Linear interpolation.mp4

05:58

[6] Conclusion

[1] Course review and conclusion.mp4

05:58

Description

Interpolation challenges are quite common, especially for time series and sequence analyses. In this course, data educator Ami Levin offers several techniques to solve these types of challenges seamlessly and efficiently. Ami explains what interpolation is and shows you how interpolation challenges and solutions work, using the database for Formula 1 race car telemetry. He goes over streamlining your solution with auxiliary data and explores the solution methodology for SQL challenges in general. Ami dives into definitions and challenges for proximal interpolations and linear interpolations, then concludes with a review of what you’ve learned.

Note: This course was created by Ami Levin. We are pleased to host this training in our library.

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Ami Levin

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