Data Science for Power Users

About This Course

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.