Programming in Business Analytics is a hands-on course designed to transform business students with no prior coding experience into proficient users of Python for data analysis. Through real-world business scenarios, students will develop essential programming skills, including manipulating and analysing business data with Python libraries like Pandas and NumPy, creating professional visualisations with Matplotlib and Seaborn, and automating routine analysis tasks. With a strong emphasis on practical applications and industry-relevant tools, students will build a portfolio of business analytics projects, synthesising insights and gaining technical expertise highly sought by employers.

8 x 2 hour lectures

5 x 2 hour lab workshops

None

None

1. Portfolio; Individual; 15 questions; 50%; ILOs 1-3.
2. Portfolio; Individual; 15 questions; 50%; ILOs 1, 3-4.

This course aims to:

■ Provide students with essential Python programming skills for business analytics, focusing on practical data handling, analysis, and visualization using libraries like pandas, NumPy, Matplotlib, and seaborn.

■ By combining theory with practical application, the course develops problem-solving skills to address real-world business challenges.

By the end of this course students will be able to:

1. Demonstrate proficiency in Python programming to perform advanced data management and analysis.

2. Critically analyse business data using Python libraries such as Pandas and NumPy, focusing on data cleaning, transformation, and statistical analysis to derive insights.

3. Integrate and apply programming concepts with visualisation tools (e.g., Matplotlib, Seaborn) to extract and present meaningful business insights from complex datasets.

4. Synthesise actionable insights from real-world business problems by combining advanced programming techniques with critical thinking and analytics.