Introduction to Data Science for Decision-Making
About This Course
This course aims to empower non-expert individuals with the ability to explore data. They will be able to identify opportunities that can be investigated and possibly developed further. Data becomes meaningful and valuable only when insights are derived from the data. This course also aims to empower non-expert individuals with the ability to make decisions based on data, which are informed decisions instead of decisions based on gut-feel. Data-driven decision-making equips decision makers to be proactive in their decision-making, resulting in more productive and efficient solutions, which give rise to higher return on investments and better customer experiences.
What You'll Learn
2. Implement data science tools and techniques, specifically data visualisation and data exploration.
3. Explain and reflect on the importance of correctly and ethically applying data science methods.
4. Apply the concepts of probability and conditional probability to real-world problems.
5. Demonstrate the capability to make data informed decisions under uncertain conditions.
6. Select and evaluate the appropriate data analytics techniques based on the variable types.
7. Construct and evaluate simple linear regression techniques to make simple predictions for a target variable based on a known available variable.
8. Design and develop solutions to address and solve real-world challenges through practical problem-based learning methodologies in a group project setting.
Entry Requirements
1. A Bachelor’s degree is preferred
2. Preferably two years of working experience
3. Good English proficiency as it’s the medium of instruction in NUS