Course Overview
Schedule of Classes
Course Curriculum
1 Subject
Python July 2024
20 Learning Materials
Python
1.Day Python Class Demo & Install Guide
Video
1:4:8
2.Day Python Demo Class
Video
1:20:13
3.Day Python Data Types(Part 1)
Video
1:15:59
4.Day Python Data Types (Part 2)
Video
1:26:13
5.Day Python Control Structures
Video
1:32:52
6.Day Python Loops(
Video
1:31:47
7.Day (P) Numpy Class 1
Video
1:17:9
8.Day (P) Numpy Class 2
Video
1:27:46
9.Day (P) Numpy Class 3
Video
3:7:19
10.Day (P) Numpy Class 4
Video
1:18:54
11.Day (P) Pandas Class 1
Video
1:26:15
12.Day : Data Preprocessing Methods and Techniques (Theory Class)
Video
2:31:50
13.Day : Pandas Preprocessing (Hands on Session)
Video
1:34:51
14.Day : Joins, Concat, Binning, cross tabs
Video
1:41:44
15. Day : Pandas Visualizations
Video
1:16:00
16. Day : Visualizations (Hands on)
Video
1:51:46
17.Day : Preparing Data for Visualization & Seaborn Vizualizations
Video
1:26:36
18.Day : Airbnb Dataset Learning Notebook (Hands On)
Video
35:34
19.Day Interactive Data Visualizations with Plotly and Streamlit
Video
1:30:13
20.Day : Descriptive Statistics and DataFrame Information
Video
1:34:35
Course Instructor
Bharath Kumar
61 Courses • 1417 Students
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