About this course
Discover how to work with the pandas library and tools for data analysis and data structuring.
Welcome
1mWhat you should know
31sExercise files
32sInstalling Anaconda
2m 59sDownloading the data set
1m 37sUsing the Jupyter notebook
3m 59sUsing Pandas
2m 51sDataFrames
1m 19sSeries
4m 32sChallenge
41sSolution
2m 41sUsing read_csv()
3m 24sUsing shape
1m 25sUsing head() and tail()
1m 48sUsing info()
1m 2sUsing value_counts()
3m 13sUsing sort_values()
3m 33sBoolean indexing
2m 30sString handling
1m 33sChallenge
1m 15sSolution
7m 40sBasic plotting
1m 39sPlot types
4m 10sColors
1m 1sFigsize
40sColormaps
1m 29sSeaborn basic plotting
3m 29sChallenge
52sSolution
5m 15sIndex
1m 30sUsing set_index()
2m 51sUsing reset_index()
1m 23sUsing sort_index()
2m 25sUsing loc[]
2m 7sUsing iloc[]
2m 3sChallenge
33sSolution
7m 39sGroupby
2m 9sIterate through a group
1m 56sGroupby computations
5m 55sChallenge
38sSolution
3m 43sReshaping
3m 34sUsing stack()
1m 41sUsing unstack()
1m 27sChallenge
43sSolution
6m 7sLearning heatmaps
5m 38sCreating your own colormaps
4m 31sFinal challenge
34sFinal solution
6mNext steps
1m 1s