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Stock Market Data Analysis and Visualization with Python, Pandas, NumPy, Seaborn and Matplotlib
00 Course Overview
00 Project Preview (3:16)
01 Mammoth Interactive Courses Introduction
00 About Mammoth Interactive (1:12)
01 How To Learn Online Effectively (13:46)
Source Files
02 Introduction to Python (Prerequisite)
00. Intro To Course And Python (9:57)
01. Variables (19:19)
02. Type Conversion Examples (10:06)
03. Operators (28:54)
04. Collections (8:24)
05. List Examples (19:41)
06. Tuples Examples (8:36)
07. Dictionaries Examples (14:26)
08. Ranges Examples (8:32)
09. Conditionals (6:43)
10. If Statement Examples (21:32)
11. Loops (29:42)
12. Functions (17:01)
13. Parameters And Return Values Examples (13:54)
14. Classes And Objects (34:11)
15. Inheritance Examples (17:29)
16. Static Members Examples (11:05)
17. Summary And Outro (4:08)
03 Compare Stocks and Returns
01 Fetch Stock Data (9:12)
02 Visualize Stock Data Features (7:32)
03 Calculate Daily Return (3:27)
04 Compare Returns Of Different Stocks (10:45)
05 Compare Closing Prices (8:48)
Source Files
04 Calculate and Visualize Risk
01 Visualize Standard Deviation And Expected Returns (5:44)
02 Calculate Value At Risk (3:52)
03 Monte Carlo Analysis To Estimate Risk (9:11)
04 Visualize Price Distribution (9:06)
Source Files
03 Monte Carlo Analysis To Estimate Risk
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