(SCTP Module) Data Science Modelling with Programming
About This Course
Appreciate the use of basic model by junior data scientist in a general setting
Adopt a statistical approach to solving ambiguous issues
Apply computational thinking to solve business problem
Leverage on Basic Supervised and Unsupervised Learning Model appropriately for Business use case
Conduct statistical test on Business use case
Experiment with various machine learning model specific to business context
Evaluate various parameters based on the consequence of the predicted model
Decipher and deconstruct convoluted patterns into meaningful insights
What You'll Learn
Entry Requirements
Participants are recommended to have completed:
1. Data Wrangling and Preparation with Programming and
2. Data Validation and Statistical Analysis with Programming
3. Programming Fundamentals in Python or (possess relevant programming background)