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1818
1919## Outline
2020
21- ### Introduction to Pandas (45 min)
21+ ### Introduction to Pandas
2222
2323* Importing data
2424* Series and DataFrame objects
2525* Indexing, data selection and subsetting
2626* Hierarchical indexing
2727* Reading and writing files
28- * Date/time types
29- * String conversion
28+ * Sorting and ranking
3029* Missing data
3130* Data summarization
3231
33- ### Data Wrangling with Pandas (45 min)
32+ ### Data Wrangling with Pandas
3433
35- * Indexing, selection and subsetting
34+ * Date/time types
35+ * Merging and joining DataFrame objects
36+ * Concatenation
3637* Reshaping DataFrame objects
3738* Pivoting
38- * Alignment
39+ * Data transformation
40+ * Permutation and sampling
3941* Data aggregation and GroupBy operations
40- * Merging and joining DataFrame objects
4142
42- ### Plotting and Visualization (45 min)
43+ ### Plotting and Visualization
4344
44- * Time series plots
45+ * Plotting in Pandas vs Matplotlib
46+ * Bar plots
47+ * Histograms
48+ * Box plots
4549* Grouped plots
4650* Scatterplots
47- * Histograms
48- * Visualization pro tips
51+ * Trellis plots
4952
50- ### Statistical Data Modeling (45 min)
53+ ### Statistical Data Modeling
5154
55+ * Statistical modeling
5256* Fitting data to probability distributions
5357* Fitting regression models
5458* Model selection
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