Course Objective

Upon completion of the course, learners will be to design and conduct data studies to drive organisational decisions and insights

Learning Outcomes

• LO1: Learners will be able to gain business Insights with business analytics.
• LO2: Learners will be able to manage data science project and configure data models.
• LO3: Learners will be able to manage organization capacity and run data mining models with statistical techniques.
• LO4: Learners will be able to communicate findings from data science projects and make recommendations.

What You’ll Learn

Topic 1: Gaining Business Insights with Business Analytics

• Business analytics for organizations (K1, A1)
• Exploit business data using business analytics (K2, A2)

Topic 2: Managing Data Science Projects

• CRISP-DM models for managing data science projects (K4, K5, A3)
• Excel data models and mapping your data (K8, A4)

Topic 3: Mining Data with Statistical Methods

• Statistical inference techniques (K9, A5)
• Data mining (K6, K7, A6)

Topic 4: Presenting Data Science Projects Findings

• Communicate the results of data science projects (K3, A7)
• Recommendations and making decisions (K10, A8)