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Python Programming for Data Science
Introduction to Python Programming
Python Introduction and IDE (10:47)
Basic Commands in Python (7:12)
Objects1 : Numbers and Strings (10:30)
Objects 2: Lists Tuples and Dictionaries (14:35)
If_else and For Loop (13:59)
Functions and Packages (8:55)
Important Packages (15:03)
End Note (3:13)
Section 1 Case Study
Data Handling in Python
Introduction to Data Handling (6:46)
Basic Commands and Checklists (10:34)
Subsetting the Datasets (11:56)
Calculated Fields, Sorting and Duplicates (7:35)
Merging and Exporting (9:05)
Session 2. Case Study
Basic Statistics and Plots
Basic Statistics and Sampling (3:30)
Descriptive Statistics (12:15)
Percentiles-Quartiles and Boxplots (8:55)
Graphs, Plots and Conclusion (6:02)
Session 3. Case Study
Data Cleaning and Treatment
Introduciton to Data Cleaning and Model Building Cycle (2:13)
Model Building Cycle (7:12)
Data Cleaning Case Study (6:50)
LAB - Step1. Basic Content of Dataset (7:18)
Step 2. Variable Level Exploration - Categorical (4:30)
Reading Data Dictionary (10:19)
LAB - Step 2. Categorical Variable Exploration (14:56)
Step 3. Variable Level Exploration - Continuous (2:16)
LAB - Step 3. Variable Level Exploration - Continuous (2:13)
Data Cleaning and Treatments (7:42)
Step 4. Treatment - Scenario 1 (3:50)
LAB - Step 4. Treatment - Scenario 1 (3:05)
Step 4. Treatment - Scenario 2 (2:40)
LAB - Step 4. Treatment - Scenario 2 (8:35)
Step 4. Data Cleaning - Scenario 3 (2:42)
LAB - Step 4. Data Cleaning - Scenario 3 (4:16)
Some Other Variables (2:37)
Conclusion (2:20)
Season 4 :Case Study
Step 4. Data Cleaning - Scenario 3
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