Data Science for Power Users
About this course
Course objectives
At the end of this course, learners will be able to:1. Collect data from multiple sources using appropriate collection tools and techniques that comply with data and privacy ethics.2. Perform data preprocessing techniques to impute data format, transform, reshape and protect the data in accordance with the business requirements and data protection principles.3. Develop interactive and effective visualisations with a global perspective to address international and cultural differences, diverse needs and expectations of the key stakeholders using visualisation tools.4. Perform data exploratory analysis to identify underlying data patterns, trends and analytical insights using visualisation tools.5. Apply relevant predictive modelling techniques to predict the desired business outcomes to meet the service expectation of the key stakeholders.6. Work collaboratively in a team to develop dashboards using data storytelling approach for an effective narrative and visual representation of their predictive analytics project.
Course description
Predictive analytics generates future insights with a significant degree of precision based on historical data. Through this course, learners will demonstrate their competencies in developing a predictive analytics project in teams by applying data privacy and ethical principles in the collection, use and disposal of data. With the data collected, learners will demonstrate their competencies to impute data format, transform and reshape the business data before applying relevant predictive modelling techniques to predict the desired business outcomes. Learners will then perform data exploratory analysis to discover patterns and trends and develop data stories for an effective narrative and visual representation of their predictive analytics project.