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Data Analysis With Python 28
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Lesson Materials 05 minLecture1.1
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1. Download and Installation (Python and PyCharm) 05 minLecture1.2
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2. Introduction to Python Programming 13 minLecture1.3
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3. Getting Inputs 13 minLecture1.4
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4. Download and Installation of Anaconda 08 minLecture1.5
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5. Working with Jupyter Notebook 07 minLecture1.6
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6. Data Types 08 minLecture1.7
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7. Variables 12 minLecture1.8
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8. List 15 minLecture1.9
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9. Sorting a List 05 minLecture1.10
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10. Intro to Data Analysis with Pandas(Loading Data) 10 minLecture1.11
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11. Basic Tips on Dataset with Pandas 15 minLecture1.12
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12. Creating Columns and Saving Worked File 08 minLecture1.13
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13. Result Analysis with Python 14 minLecture1.14
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14. Percentages 19 minLecture1.15
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15. Date Functions 12 minLecture1.16
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16. Filters 15 minLecture1.17
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17. Multiple Condition Filtering 21 minLecture1.18
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18. Pivot Table 14 minLecture1.19
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19. Sorting the Index (Month) Column 07 minLecture1.20
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20. Introduction to Charts (Bar Chart) 10 minLecture1.21
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21. Introduction to Charts(Pie) 06 minLecture1.22
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22. Charts from Pivot Table 09 minLecture1.23
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23. Line and Area Chart & Saving 04 minLecture1.24
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24. Project Work A 14 minLecture1.25
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25. Project Work B 17 minLecture1.26
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26. Project Work C 12 minLecture1.27
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Quiz 0 questionQuiz1.1
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2 Comments
This course is really an open eyes for me when it comes to Data Analysis with Python.
Very educating and it is well explanatory.
God bless you Sir.
Thank you Mr Awesome Emmanuel for this detailed lecture. The course is very interesting and am happy for this opportunity to get to learn about python after so many ways of hearing and anticipating. Your lecture is top notch