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HRCI

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This activity has been approved for 1.5 HR (General) recertification credit hours toward aPHR, ...more


HSRM Traininng.com LLC is recognized by SHRM to offer Professional Development Credits (PDCs) for the SHRM-CP® or SHRM-SCP®. ?
1-hour educational program = 1 PDC.
1-hour and 15 minute concurrent conference session = 1.25 PDCs.
3-hour e-learning course = 3 PDCs.

Overview

The "Financial Analysis Bootcamp and Use of AI" course provides a comprehensive exploration of the fundamentals of financial analysis, enhanced by the latest AI technologies. Over 90 minutes, you will delve into key concepts, tools, and applications that are transforming the field of financial analysis.

The course begins with an introduction to the framework of financial analysis. This sets the stage for understanding the critical role of financial analysis in business strategy and decision-making. You'll gain insights into essential financial metrics, analytical techniques, and how to interpret financial data effectively.

Following the fundamentals, the course introduces AI's role in financial analysis. Here, you will explore how AI can automate routine tasks, improve accuracy in financial forecasting, and provide deeper insights into financial data. The course demonstrates practical AI applications, such as predictive modeling and risk assessment, showing how these tools can be leveraged to make more informed financial decisions.

A significant portion of the course is dedicated to data collection and analysis techniques. You'll learn how to gather relevant financial data, clean and prepare it for analysis, and use AI tools to analyze this data efficiently. This knowledge is crucial for developing accurate financial models and forecasts.

Moreover, the course emphasizes the importance of effectively communicating the results of financial analysis. You'll acquire skills in presenting complex financial data in a clear, understandable manner, a key competency for finance professionals. This includes using visualizations and reports to convey findings and recommendations to stakeholders.
Throughout the course, real-world case studies and examples are used to illustrate the practical applications of the concepts taught. This approach ensures that the knowledge gained is not only theoretical but also directly applicable in professional settings.

By the end of the course, participants will have a solid understanding of both traditional financial analysis and the revolutionary impact of AI in this field. You will be equipped with the skills to perform sophisticated financial analyses, interpret results accurately, and make data-driven financial decisions. This course is an essential step for anyone looking to enhance their financial analysis skills and embrace the potential of AI in the finance sector.

Why you should Attend

This course addresses the common Fear, Uncertainty, and Doubt (FUD) associated with AI, empowering you with the knowledge to confidently navigate this emerging landscape.

For those apprehensive about the complexity of AI, this course breaks down AI concepts into understandable components, demonstrating how they can be applied to enhance traditional financial analysis techniques. You'll learn to harness AI for more accurate forecasting, risk assessment, and decision-making. This is essential in a field where precision and speed are paramount, and where AI is rapidly becoming a standard tool.

Moreover, the course tackles the uncertainty surrounding the future of finance roles in an AI-driven world. It shows how AI complements, rather than replaces, human expertise, enabling finance professionals to focus on higher-level analysis and strategic decision-making. This understanding is crucial for staying relevant and competitive in your career.

Areas Covered in the Session

  • Framework for Financial Analysis
  • Data Collection and Analysis Techniques
  • Communicating Results Effectively
  • Role of AI in Financial Analysis

Who Will Benefit

  • Financial Analysts
  • Business Analysts
  • Accountants
  • Managers

Speaker Profile

Manish Gupta is not only a passionate educator but also a seasoned professional in the fields of finance, business, and hospitality. His career includes substantial roles in various organizations, providing him with a rich blend of real-world experience and theoretical knowledge.

As a Visiting Lecturer at Geneva Business School, Manish excels in teaching MBA subjects, skillfully bridging the gap between academic theories and their practical applications in business and finance. His expertise in Financial Management, Accounting, and Corporate Finance is particularly noteworthy.

At eHotel Management School, where he is the Founder and Lead Instructor, Manish imparts wisdom in Digital Marketing and Hotel Management. His unique approach combines his extensive industry experience with his educational background, offering students practical insights into the hospitality sector.

Manish's teaching philosophy centers around making complex subjects accessible and engaging. His dedication to student success is evident in the way he tailors his courses, ensuring they are relevant, insightful, and inspiring for aspiring professionals.