Python in Excel Instructor Guide

Python in Excel Instructor Guide

https://www.amazon.com/dp/B0FC94DR7S/

The following instructor guide reviews core and key Python in Excel via simple formulas. These formulas can be utilized for personal, educational, or corporate usage. It is envisioned that the instructor utilizes the material from this guide via a demonstration type format as each formula reviews the format, brief pros and cons and example. Formula contents are grouped by high-level subject matter.

Contents:

About Python in Excel Formulas

Instructor Information

Create a Working File

Data Logic

Date() Function:

IF() Function:

Now() Function:

Data Manipulation

FillNa() Function:

Find() Function:

Replace() Function:

Data Statistics

Count() Function:

Describe() Function:

Kurtosis() Function:

Len() Function:

Max() Function:

Median() Function:

Min() Function:

Quantile() Function:

Sum() Function:

Skew() Function:

Std() Function:

Var() Function:

Basic Troubleshooting

Conclusion

About the Author:

Notes:

Applied Generative AI Instructor Guide

Applied Generative AI Instructor Guide

https://www.amazon.com/dp/B0FBLQDYYJ/

Applied Generative AI is an area which encompasses creating original and innovative content. This includes integrating technical expertise with management insights, ethical considerations, and human based factors. In this instructor guide, each section provides core and key topical information of value to discuss with example generative prompts which can then be utilized.

Table of Contents:

Using Instructor Guide

Using Generative AI

History and Evolution of AI

Introduction to LLMs

Understanding LLM Architecture: From Words to Meaning

AI Today and in the Future

Democratization of Data & AI: The Neural Network Revolution

LLMs: What Can They Do and How Do They Work?

Predicting the Future: Neural Networks

Autoencoders, Latent Spaces & Embedding Spaces

LLMOps (Large Language Model Operations)

An Introduction to AI and Ethics

Cultivating an AI-Ready Culture

Speed of Applied Generative AI Learning

Building on LLMs and the Future of Jobs

The AI-Enabled Economy

Conclusion:

About the Author:

Notes: