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Live Lectures
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1. Session-1 (11 July) Python Installation and Introduction
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2. Session-2 (12 July) Python Introduction, Variables, Data Types
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Environment Files
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Class Python Files
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Notes
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Assignments
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Data Files
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Presentations
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Live Test
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January 2026 Recordings
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1. Session -1 (03/01/2026) Python Installation and Introduction
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2. Session - 2 (04/01/2025) Variables, Data Types, Python Introduction
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3. Session - 3 (10/01/2025) Data Structure, List, Tuples, Sets, Dictionaries
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4. Session - 4 (11/01/2025) Control Flow & Conditional Statements
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5. Session - 5 (17/01/2025) User-defined & Lambda Functions in Python
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6. Session - 6 (18/01/2025) Numpy Basics, Indexing, Slicing & Vectorization
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7. Session - 7 (24/01/2026) NumPy Statistical Functions & Matplotlib Plotting
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8. Session 8 (25/01/2026) Pandas Series, DataFrame, Market Data download
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9. Session - 9 (31/01/2026) Pandas Statistical Functions
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10.Session - 10 (01/02/2026) Pandas Indexing, Slicing and GroupBy
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11. Session - 11 (07/02/2026) Basic Statistics for Technical Analysts
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12. Session - 12 (08/02/2026) Evaluating Performance Metrics for Trading Strategies
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13. Session - 13 (17/02/2026) Quantitative Trading Strategy Workflow | MA, EMA | Pyfolio | Quantstats
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14. Session - 14 (18/02/2026) Evaluating Performance Metrics for Trading Strategies
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15. Session - 15 (19/02/2026) Evaluating Performance Metrics for Trading Strategies
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16. Session - 16 (21/02/2026) Quantitative Trading Strategy | Mean Reversion, Buy & Hold
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17. Session - 17 (22/02/2026) Portfolio & Risk Management
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18. Session - 18 (23/02/2025) Evaluating Performance Metrics for Trading Strategies
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19. Session - 19 (28/02/2025) Portfolio Construction Using Correlation
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Session19_Part2
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