Marketing Data Analytics and Visualisation
About This Course
This course introduces learners to the use of data analytics and visualisation for business decision-making and communication. Learners will learn how to work with business datasets, prepare and transform data using Python, conduct exploratory data analysis, and apply basic analytical techniques such as regression and classification to generate business insights. The course also emphasizes the principles of effective data visualisation and the design of interactive dashboards using Tableau.
Rather than treating analytics and visualisation as separate activities, the course focuses on the full workflow from business questions to data preparation, analysis, visual communication, and managerial recommendations. Through hands-on exercises and a group project, learners will learn how to turn raw data into clear, evidence-based insights that can support business diagnosis, decision-making, and communication with stakeholders. No prior programming background is required, although learners are expected to engage actively with Python-based data analysis throughout the course.
What You'll Learn
2. Conduct exploratory data analysis and apply basic analytical techniques, including regression and classification, to generate business insights.
3. Select appropriate visualisations and design effective Tableau dashboards for business analysis and communication.
4. Translate analytical findings into clear, evidence-based recommendations for managerial decision-making.
Entry Requirements
Bachelor's degree