Modules
1. Data Wrangling and Preparation with Programming
Data Wrangling is the function of transforming raw data into data that is usable down the data science process.
This course is designed to introduce the general concepts of Data Science with a focus on Data Wrangling for participants who prefer a programming approach. By the end of this course, participants will be able to wrangle data and prepare the dataset ready for Machine Learning Model.
2. Data Validation and Statistical Analysis with Programming
Data Validation plays an important role in ensuring the data is correct and useful in preparation for analysis.
This course is designed to introduce the general concepts of Data Science with a focus on Data Validation and Statistical Analysis for participants who prefer a programming approach. By the end of this course, participants will be able to leverage on Python for Data Validation and Statistical Analysis.
3. Data Science Modelling with Programming
Data Science Modelling explores various use cases and applications of Data Science and its potential for improving our daily lives. Participants will be able to leverage on Data Science to complement with their Domain Expertise to contribute within the Data Science Pipeline.
At the end of this course, participants will be able to apply basic Predictive Analytics, basic Machine Learning and basic Statistical Model based on a prescribed project.