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The Future of Finance with ChatGPT and Power BI

You're reading from   The Future of Finance with ChatGPT and Power BI Transform your trading, investing, and financial reporting with ChatGPT and Power BI

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Product type Paperback
Published in Dec 2023
Publisher Packt
ISBN-13 9781805123347
Length 406 pages
Edition 1st Edition
Concepts
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Authors (2):
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James Bryant James Bryant
Author Profile Icon James Bryant
James Bryant
Aloke Mukherjee Aloke Mukherjee
Author Profile Icon Aloke Mukherjee
Aloke Mukherjee
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Table of Contents (13) Chapters Close

Preface 1. Part 1: From Financial Fundamentals to Frontier Tech: Navigating the New Paradigms of Data, EVs, and AgTech
2. Chapter 1: Financial Mastery with ChatGPT: From Basics to AI Insights FREE CHAPTER 3. Chapter 2: Creating Financial Narratives with Power BI and ChatGPT 4. Chapter 3: Tesla’s Financial Journey: AI Analysis and Bias Unveiled 5. Chapter 4: John Deere’s AgTech Revolution – AI Insights and Challenges 6. Part 2: Pioneers and Protectors: AI Transformations in Software, Finance, Biotech, and Cybersecurity
7. Chapter 5: Salesforce Reimagined: Navigating Software and LLMs 8. Chapter 6: SVB’s Downfall and Ethical AI: Smart AI Regulation 9. Chapter 7: Moderna and OpenAI – Biotech and AGI Breakthroughs 10. Chapter 8: CrowdStrike: Cybersecurity in the Era of Deepfakes 11. Index 12. Other Books You May Enjoy

Walk-through use case – analyzing financial data using Power BI

In the world of investing, it’s crucial to understand not just a company’s standalone performance, but also its performance relative to its peers. That’s where our Power BI visualization comes in. Let’s walk through pulling a dataset and creating a Power BI visual that compares Apple with its main competitors in the tech industry.

We’ll take available financial data and transform it into visual narratives that give you an at-a-glance understanding of how Apple measures up against its competitors. We’ll examine historical stock data for Apple, Google, and Microsoft and use this to create Power BI visualizations that bring the data to life.

In the following steps, we will show how to install the necessary packages in Python, pull data from different locations, extract relevant information, and build a Power BI dashboard.

  1. Step 1 – installing the necessary...
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