Course overview
This course aims to provide a comprehensive understanding of data science and its applications in business context. Through exploration of the value of data science in modern business, considerations of data security and ethics, and hands-on exercises in data analysis techniques, students will gain the skills necessary to harness the power of data, make informed decisions, and drive business success. By delving into various facets of data analytics, including descriptive analytics, regression analysis, and deep learning, students will be equipped to tackle real-world challenges and leverage data-driven insights to optimize business strategies and operations.
- Introduction For Business Analytics
- Statistical Inference
- Business Analytics in Practice
Course learning outcomes
- Evaluate statistical inferences to support business decisions, by analyzing sampling distributions and confidence intervals, and conducting hypothesis tests, to determine the statistical significance of findings.
- Design and construct visualizations, utilizing various techniques and tools, to effectively communicate insights derived from descriptive and visual analytics, measured by the clarity and relevance of the visual representations.
- Implement supervised and unsupervised learning algorithms to derive insights from data, resulting in actionable, innovative and ethical recommendations for sustainable business growth.
- Demonstrate communication skills to effectively convey complex analytical findings to diverse stakeholders.
Degree list
The following degrees include this course