LESSON 1
BASIC DATA HANDLING
1.1 DataFrame ❲▹❳ 11m
1.2 Data Types Conversion ❲▹❳ 6m
1.3 Rows Selection ❲▹❳ 6m30s
1.4 Columns Selection ❲▹❳ 9m30s
LESSON 2
DATA FILTERING & GROUPING
2.1 Filtering with Boolean ❲▹❳ 6m14s
2.2 Grouping Object ❲▹❳ 6m31s
2.3 Aggregation ❲▹❳ 9m36s
2.4 Concatenate, Join, Merge ❲▹❳ 8m22s
LESSON 3
DATA TRANSFORM & CLEANING
3.1 Arithmetic Operations ❲▹❳ 4m22s
3.2 Handling Missing Data ❲▹❳ 5m
3.3 Discretization ❲▹❳ 8m4s
3.4 Statistics ❲▹❳ 4m7s
3.5 Filtering ❲▹❳ 7m57s
LESSON 4
DATA
VISUALIZATION
4.1 Intro to matplotlib ❲▹❳ 8m18s
4.2 Plotting with pandas ❲▹❳ 5m10s
4.3 Styles of Visualization ❲▹❳ 9m56s
4.4 Advanced Filtering ❲▹❳ 9m51s
4.5 Multiple Plots w/ Seaborn ❲▹❳ 6m44s
LESSON 5
MACHINE
LEARNING
5.1 Preprocessing with sklearn ❲▹❳8m
5.2 Linear Regression ❲▹❳ 7m49s
5.3 Logistic Regression ❲▹❳ 10m10s
5.4 Classification Methods ❲▹❳ 4m
5.5 Clustering Methods ❲▹❳ 8m31s