Principles of Data Science

Programme outline

Learning objectives

1. Formulate business questions, identify stakeholders, and communicate data analysis insights through visualisations.
2. Explain data collection methods and identify data types and databases.
3. Perform data profiling using descriptive statistics.
4. Perform simple linear regression and interpret results.

Day 1

• Data Science Lifecycle (from business problem to data-driven decision)
• Business Question (Purpose, stakeholders and communicate)
• Data Acquisition (Types of data collection methods, types of data and database, data science acquisition architecture)
• Data Preparation – Data Profiling – Calculating simple statistics, checking inconsistent format, PivotTable, charts, descriptive statistics from Analysis ToolPak

Day 2

• Data Preparation – Data Profiling – Calculating simple statistics, checking inconsistent format, PivotTable, charts, descriptive statistics from Analysis ToolPak
• Data Science Modelling – Regression – Simple linear regression
• Data Science Modelling – Regression – Interpretation of regression results
• Data Visualisation – Creating visuals

Mode of assessment

• Quiz