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.

Learning Objectives:

1. Perform the basic ML model component for the role of a junior data scientist
2. Understand the types of data and databases in the business context
3. Appreciate the use of data dictionary and harness the potential of metadata for data science
4. Acquire organizational dataset from data lakes and other democratized data sources for data enrichment purposes
5. Structure data into an appropriate form for data analysis
6. Manipulate data structures to support data-wrangling phase
7. Perform data wrangling on the acquired dataset
8. Address data quality issues with appropriate data cleansing technique
9. Iterate the data mining process progressively with the provision of data wrangling and exploratory analysis tools

Programme Structure: 

Participants will go through 4 days of training. Class will reconvene on the 5th day for a presentation as part of the course assessment.