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1. Getting Started
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2. PART 1 PANDAS FROM ZERO TO HERO (BUILDING BLOCKS)
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3. Pandas Basics (DataFrame Basics I)
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4. Pandas Series and Index Objects
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5. DataFrame Basics II
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6. Manipulating Elements in a DataFrame Slice Important, know the Pitfalls!
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7. DataFrame Basics III
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8. Visualization with Matplotlib
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9.PART 2 FULL DATA WORKFLOW A-Z
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10. Importing Data
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11. Cleaning Data
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12. Merging, Joining, and Concatenating Data
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13. GroupBy Operations
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14. Reshaping and Pivoting DataFrames
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15. Data Preparation and Feature Creation
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16. Advanced Visualization with Seaborn
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17. PART 3 COMPREHENSIVE PROJECT CHALLENGE
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18. PART 4 MANAGING TIME SERIES DATA WITH PANDAS
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19. Time Series Basics
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20. Time Series Advanced Financial Time Series
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21.WHATS NEW IN PANDAS VERSION 1.0 - A HANDS-ON GUIDE
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22. APPENDIX PYTHON BASICS, NUMPY and STATISTICS
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23. Python Basics
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24. The Numpy Package
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25. Statistical Concepts
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26. Download .py files
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27. Whats next