Financial Modelling and HR Analytics
The Financial Modeling Specialization equips you with the tools and knowledge needed to make strategic and data-driven decisions in both business and finance. Use Excel for HR Analytics, calculate HR metrics, build HR dashboards & ML models for Human Resource & People Analytics
COURSE OUTCOMES
At the end of the course, students should be able to
- Conducting fundamental analysis to evaluate investment opportunities.
- Advanced ratio analysis, portfolio management strategies, and report writing skills to navigate complex financial landscapes confidently.
- Becoming proficient in Excel to create complex financial models.
- Acquire skills in HR data analytics for informed talent management decisions.
- Develop proficiency in communicating HR analytics insights effectively.
OBJECTIVES OF THE COURSE:
- Fundamental analysis, Excel expertise, and company valuations across all types to enhance your financial modeling proficiency.
- Mastering portfolio management strategies and techniques for optimal investment outcomes.
- Performing comprehensive company valuations across different industries.
- Enable participants to utilize data analytics for strategic HR planning.
- Empower individuals to drive evidence-based decision-making in HR.
COURSE SYLLABUS:
This module covers the basics of financial modeling, including its purpose, essential Excel skills, and the importance of data accuracy. It also teaches how to construct simple financial models and their role in organizational decision-making.
This module advances students' skills in financial modeling with complex Excel functions and techniques like scenario analysis and Monte Carlo simulation. Through case studies and examples, students learn to apply these methods in real-world situations.
This module focuses on company valuation methods and investment analysis techniques. Students learn about discounted cash flow (DCF) analysis, comparable company analysis (CCA), and precedent transactions analysis. Case studies and valuation exercises allow students to practice valuing companies and making investment decisions.
This module introduces HR analytics, covering data analytics in HR management, key performance metrics, data collection, and cleaning techniques. It also addresses ethical considerations and shows how HR analytics supports data-driven decisions in talent management and employee engagement.
This module teaches predictive modeling techniques for HR data, including building models for employee turnover, performance, and talent acquisition using regression, classification, and machine learning algorithms. Students practice through case studies and exercises with real HR datasets to develop and interpret models for strategic HR decisions.
This module covers the strategic use of HR analytics to aid organizational decision-making, focusing on effectively communicating findings, developing actionable insights, and designing HR metrics dashboards. Topics include diversity analytics and workforce planning. Students apply their skills in group projects to address real-world HR challenges and enhance business outcomes.