- Speak and communicate the data language in workplace.
- Develop the thinking of business question with data-first.
- Show their expertness to design and build a data visualisation with best practice.
- Prove their ability to use low-cost and high-return open-source technology to perform impactful descriptive analytics.
- Prove their ability to perform self-service descriptive, diagnostic analytics and simple predictive analytics for insights discovery.
- Perform self-service in creating data visualization dashboard with best practices.
- Display their value to use low-cost and high-return open-source technology to improve daily performance in data jobs.
- Show their inclination to work productively with colleagues and data science team with analytics.
- Develop open-source software skill in Apache Superset, Jupyter Notebook & Python.
- Make visible their ability to perform self-service analytics activities from insights discovery.
- Apply machine learning for simple predictive analytics.
- Exhibit their competencies in using Python for various analytics tasks.
- Show their competencies to work with the data science team.
- Develop open-source software skill in Apache Superset, Jupyter Notebook & Python.