finance-data-with-python-and-pandas

finance-data-with-python-and-pandas

01 - Getting Started

02 - -- PART 1 DATA ANALYSIS WITH PYTHON & PANDAS FROM ZERO TO HERO --

03 - NEW Pandas Coding with your personal assistant - ChatGPT

04 - Pandas Basics

05 - Excursus How to avoid and debug Coding Errors incl. ChatGPT

06 - Pandas Intermediate Topics

07 - Data Visualization with Matplotlib and Seaborn

08 - Pandas Advanced Topics

09 - -- PART 2 FINANCIAL DATA ANALYSIS

10 - Time Series Data in Pandas Introduction

11 - Financial Data - Essential Workflows Risk Return & Correlation

12 - Financial Data - Advanced Techniques Rolling Statistics & Reporting

13 - Create and Analyze Financial Indexes

14 - Create Analyze and Optimize Financial Portfolios

15 - Modern Portfolio Theory & Asset Pricing CAPM Beta Alpha SLM & Risk divers.

16 - Forward-looking Mean-Variance Optimization & Asset Allocation

17 - Interactive Financial Charts with Plotly and Cufflinks

18 - -- PART 3 THE FINANCIAL ANALYST CHALLENGE FINAL PROJECT -

19 - - PART 4 ADVANCED TOPICS -

20 - +++ WHAT´S NEW IN PANDAS VERSION 1.0 - A HANDS-ON GUIDE +++

21 - APPENDIX -

22 - Appendix 1 Python Crash Course optional

23 - Appendix 2 Numpy Crash Course optional

24 - NEW ChatGPT Introduction

25 - What´s next outlook and additional resources

重要挂载字幕教程.url 0.0MB

001 Course Overview and how to maximize your learning success-- 70.9MB

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002 Tips How to get the most out of this Course don´t skip-- 12.4MB

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003 Did you know that-- 26.9MB

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004 FAQ Important Information.html 0.0MB

005 Installation of Anaconda-- 67.9MB

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006 Opening a Jupyter Notebook-- 73.7MB

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007 How to use Jupyter Notebooks-- 50.1MB

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008 Course-Materials-All.zip 8.6MB

008 Downloads Get all Course Materials here UPD NOV 24-- 34.3MB

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