Data Analysis using Pandas in python Learn by exercise

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Files Included :

1 - Introduction to the course.mp4 (94.02 MB)
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2 - P0101 Getting started with Python Installing Anaconda.mp4 (13.93 MB)
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3 - P0102 Understand Spyder environment and import external data.mp4 (113.94 MB)
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10 - P0203D copy dataframe n dropping records based on value of a particular field.mp4 (29.16 MB)
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11 - P0203E Replacing missing Value with median or mode.mp4 (77.37 MB)
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12 - P0204 Filtering data n keeping few columns in data.mp4 (27.12 MB)
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13 - P0205 use iloc to filter data.mp4 (36.57 MB)
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14 - P0206 Numeric Variable Analysis with Group By n Transpose the result.mp4 (35.09 MB)
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15 - P0207 Frequency Distribution count n percentage including missing percentage.mp4 (61.33 MB)
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16 - P0208 Introduction to function n substring stuff.mp4 (82.09 MB)
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4 - P0201 Understand data and learn to put comments in the code.mp4 (22.85 MB)
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5 - P0201A Running SQL commands on python pandas dataframe.mp4 (100.78 MB)
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6 - P0202 Know Contents of the Data.mp4 (73.2 MB)
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7 - P0203A Missing Value detection n treatment Part1.mp4 (61.67 MB)
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8 - P0203B Getting Familiar with Jupyter Notebook IDE.mp4 (71.18 MB)
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9 - P0203C treating Numeric Missing value with mean treating date missing value.mp4 (113.68 MB)
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17 - P0301 Creating Dataframe on the run Append concatenate dataframe.mp4 (57.46 MB)
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18 - P0302 Merging DataFrames.mp4 (42.94 MB)
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19 - P0303 Remove Duplicates Full or coulmn based Sorting Dataframe Keep First.mp4 (235.57 MB)
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20 - P0304 Getting row for max value of any column easy way n then through idxmax.mp4 (77.26 MB)
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21 - P0305 use idxmax iterrows forloop to solve a tricky question.mp4 (178.38 MB)
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22 - P0306 Create derived fields using numerical fields.mp4 (76.31 MB)
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23 - P0307 Cross Tab Analysis n putting result into another dataframe transpose.mp4 (24.21 MB)
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24 - P0308 Derive variable based on character field.mp4 (42.98 MB)
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25 - P0309 Derive variable based on date field.mp4 (161.88 MB)
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26 - P0310 First Day Last Day Same Day of Last n month.mp4 (421.96 MB)
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27 - P0401 Histogram n Bar chart in Jupyter Notebook and Spyder.mp4 (47.8 MB)
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28 - P0402 Line Chart Pie Chart Box Plot.mp4 (68.33 MB)
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29 - P0403 Revisit Some nitty gritty of Python programming.mp4 (43.57 MB)
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30 - P0404 Scope of a variable global scope local scope.mp4 (17.52 MB)
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31 - P0405 Understand Range Object.mp4 (17.48 MB)
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32 - P0406 Casting or Variable type conversion n slicing strings.mp4 (38.12 MB)
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33 - P0407 Lambda function n dropping columns from pandas dataframe.mp4 (90.37 MB)
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34 - P0501 Simple Outlier detection n treatment.mp4 (143.56 MB)
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35 - P0502 Creating Excel formatted report.mp4 (192.3 MB)
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36 - P0503 Creating pivot table on pandas dataframe.mp4 (69.66 MB)
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37 - P0504 renaming column names of a dataframe.mp4 (13.48 MB)
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38 - P0505 Reading writing appending data into SQLlite database.mp4 (99.91 MB)
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39 - P0506 writing log of code execution.mp4 (169.83 MB)
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40 - P0507 Linear regression using python.mp4 (28.82 MB)
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41 - P0508 chi square test of independence.mp4 (67.2 MB)
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