Lesson 05 Why Python is Chosen as Primary Language
Lesson 06 Python Programming (Part 01)
Lesson 07. Python Programming (Part 02)
Lesson 08. Data Pre-processing
Lesson 09. Dealing With Missing Values
Lesson 10. Data Formatting & Normalization
Lesson 11 Exploratory Data Analysis
12. Descriptive Statistics Analysis in Python
13. Data Correlation
14. Model Development
15. Regression Model
16. Model Visualization & Evaluation Techniques
17. Classification Problem
Week 08 (Face to Face)
Lessson 16 Feedback and review with hands-on practices session for the context of week one to three
Lesson 17 Feedback and review with hands-on practices session for the context of week four to six
Lesson 18 Feedback and review with hands-on practices session for the context of weeks four six and seven
Session 19 Procrastinators Procrastinate
Lesson 20 Setting and Achieving Focus, Goals and Targets
Lesson 21 Career Planning: Advanced Techniques
Lesson 22 Emotional Intelligence
Lesson 23 CV Development and Personal Branding Tool
Lesson 24 How to prepare for a Job Interview
Course Related All Resources
This course will teach how to handle data using exploratory strategies. These strategies are often used prior to the start of formal modeling and can aid in the construction of more complex statistical models. Exploratory procedures are also useful for modifying various type of data for prediction, classification, recommendation algorithms. We’ll go through the plotting systems in Python in depth, as well as some of the fundamental ideas of data visualization. We’ll also implement some of the most common multivariate statistical approaches for visualizing data with a lot of dimensions.
Learning Outcomes of this Course:
After completion of this course participants are expected to be able to:
learn about the related tools and techniques the Data Analytics in Health.
know about basic Python programming and libraries.
Use basic data analysis techniques.
Implement basic algorithms using processed data.
This course has been developed with the support of the Commonwealth of learning, Canada
Basic Python programming.
Analytic graphics and the base plotting system in Python.
Make graphical representations of data with a lot of dimensions.
Apply basic algorisms for classification and prediction