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Topic | Text Material | Image content | Video content | Quiz |
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1.Introduction to Pandas | ![]() |
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2.Series - pandas | ![]() |
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3.Loading Datasets - pandas | ![]() |
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4.Understanding Data - pandas | ![]() |
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5.Accessing Datas - pandas | ![]() |
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6.DataFrame Operations - pandas | ![]() |
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7.DataFrame Creation - pandas | ![]() |
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8.Working with Columns part 1 - pandas | ![]() |
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9.Working with Columns part 2 - pandas | ![]() |
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10.Concatenation - pandas | ![]() |
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11.Missing Data / Null Value - pandas | ![]() |
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12.Sort & Groupby - pandas | ![]() |
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13.Row Column Swapping - pandas | ![]() |
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14.DateTime - pandas | ![]() |
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15.Export Data - pandas | ![]() |
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16.One Hot Encoding & Other Functions - pandas | ![]() |
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17.Introduction to Numpy | ![]() |
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18.Creating Arrays - numpy | ![]() |
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19.Basic Array Operations - numpy | ![]() |
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20.Matrix functions 2-D Array - numpy | ![]() |
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21.3-D Array - numpy | ![]() |
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22.Introduction to Matplotlib | ![]() |
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23.Plot - Matplotlib | ![]() |
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24.Vertical Bar - Matplotlib | ![]() |
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25.Horizontal Bar - Matplotlib | ![]() |
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26.HistPlot - Matplotlib | ![]() |
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27.Scatterplot - Matplotlib | ![]() |
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28.Pie Chart - Matplotlib | ![]() |
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29.Subplots - Matplotlib | ![]() |
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30.Advance Plots - Matplotlib | ![]() |
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Topic | Text Material | Image content | Video content | Quiz |
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31.Introduction to Seaborn | ![]() |
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32.Themes and Color - Seaborn | ![]() |
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33.Datasets - Seaborn | ![]() |
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34.Lineplot - Seaborn | ![]() |
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35.Scatterplot - Seaborn | ![]() |
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36.Relplot - Seaborn | ![]() |
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37.Jointplot - Seaborn | ![]() |
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38.Barplot - Seaborn | ![]() |
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39.KDE plot - Seaborn | ![]() |
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40.Swarmplot & StripPlot- Seaborn | ![]() |
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41.Box & Boxen plot - Seaborn | ![]() |
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42.Pairplot - Seaborn | ![]() |
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43.Histplot - Seaborn | ![]() |
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44.Heatmap - Seaborn | ![]() |
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This course introduces Pandas, a key Python library for data analysis and manipulation. You'll learn how to work with Series and DataFrames, clean and transform data, handle missing values, perform grouping and merging, and analyze real-world datasets using Pandas efficiently.
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We have a lifetime 24x7 online support team to resolve all your technical queries, through a ticket based tracking system.
Successfully complete your final course project and Kaashiv will certify you as a Pandas Expert.
We have a community forum for all our learners that further facilitates learning through peer interaction and knowledge