AI In Data Analytics and Generating Insights for Finance & accounting
This workshop will help the participants to learn tips and tricks of doing quick analysis and managing data quickly to present insightful reports to the client
At the end of the workshop, the participants will be able to increase productivity and enhance efficiency in their day-to-day work with practice files. Participants will be able to analyze their financial data in a meaningful way to draw further insights for decision making. The aim of the workshop is to allow the participants to be more self-confident with data mining and advanced analytical techniques for further analysis and interpretation for senior management and steer committees.
Objective
The participants of this workshop will learn working with large data sets and complex calculations whilst understanding data statistically. The trainer will focus on multiple available techniques in Artificial Intelligence to analyze data, Data forecasting, Descriptive analytics and Predictive Analytics to enhance the participants’ understanding of data from an analytical perspective and ability to make informed decisions.
Our expert trainer will work with the participants on huge data sets and practical examples to help them relate to real life analytical problems and optimum approach to the solutions.
Hands on exercises will be given to help the participants to master these functionalities and apply them in a meaningful way.
Outline
- Understanding AI-driven analytics to handle data statistically for further analysis for finance and accounting professionals
- What is Data Analytics and its types
- AI in Descriptive Vs Predictive Analytics>/li>
- AI in Predictive Vs Prescriptive Analytics
- AI driven Data Modelling
- Application to financial analysis and interpretation- Applying AI-driven predictive & prescriptive analytics to financial cases
- Discussing examples
- Provide insights into AI-powered Financial Modelling and Scenario Analysis
- Mastering Descriptive Analytics and application of these concepts in real work-related financial projects
- Predictive analytics for revenue forecasting
- Correlation analysis Vs Causation
- Using Statistical Analysis to generate insights
- Multiple hands-on exercises and examples to help participants to apply these techniques in their respective work areas
- Quiz and practical exercises
- Understanding the techniques of AI in Predictive Analytics to derive insights and enhance data driven decision making
- Predictive analytics for revenue forecasting
- Regression analysis techniques
- Concept of Hypothesis Testing
- AI for fraud detection in financial transactions
- NLP-based sentiment analysis for market trends
- Quiz and practical exercises using financial data sets
- Case Studies on financial data and presentation of financial insights through group discussion and hands on exercises
