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Week 01
0/2
Lesson 01 What To Expect From The Course
01:09
Lesson 02 Why Do We Need Data Analysis
03:40
Week 02
0/3
Lesson 03 Understanding Data
02:00
Lesson 04. Tools & Techniques
03:11
Quiz 01
10:00
Week 03
0/3
Lesson 05 Why Python is Chosen as Primary Language
06:00
Lesson 06 Python Programming (Part 01)
07:50
Quiz 02
05:00
Week 04
0/3
Lesson 07. Python Programming (Part 02)
06:20
Lesson 08. Data Pre-processing
05:48
Quiz 03
05:00
Week 05
0/3
Lesson 09. Dealing With Missing Values
05:55
Lesson 10. Data Formatting & Normalization
08:05
Quiz 04
05:00
Week 06
0/5
Lesson 11 Exploratory Data Analysis
10:00
12. Descriptive Statistics Analysis in Python
07:00
13. Data Correlation
03:11
14. Model Development
01:50
Quiz 05
10:00
Week 07
0/3
15. Regression Model
10:00
16. Model Visualization & Evaluation Techniques
04:59
17. Classification Problem
03:00
Week 08 (Face to Face)
0/9
Lessson 16 Feedback and review with hands-on practices session for the context of week one to three
02:00:00
Lesson 17 Feedback and review with hands-on practices session for the context of week four to six
02:00:00
Lesson 18 Feedback and review with hands-on practices session for the context of weeks four six and seven
02:00:00
Session 19 Procrastinators Procrastinate
01:00:00
Lesson 20 Setting and Achieving Focus, Goals and Targets
02:00:00
Lesson 21 Career Planning: Advanced Techniques
01:00:00
Lesson 22 Emotional Intelligence
02:00:00
Lesson 23 CV Development and Personal Branding Tool
02:00:00
Lesson 24 How to prepare for a Job Interview
01:00:00
course resources
course resources
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Course Related All Resources
Exploratory Data Analytics in Health
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