Financial Analytics
Financial Analytics
Training Summary
- Financial Accounting and Reporting: Understanding financial statements, key financial ratios, and financial reporting standards.
- Statistical Analysis: Applying statistical techniques to analyze financial data and identify trends.
- Data Mining and Data Visualization: Extracting valuable insights from large datasets using data mining techniques and creating visually appealing data visualizations.
- Financial Modeling: Building financial models to forecast future performance and assess risk.
- Risk Management: Identifying, assessing, and mitigating financial risks.
- Investment Analysis: Evaluating investment opportunities and making sound investment decisions.
- Financial Forecasting: Predicting future financial performance using advanced forecasting techniques.
This specialized Financial Analytics training program is designed to equip participants with the skills and knowledge necessary to analyze financial data, make informed decisions, and drive business performance. The course will cover a range of topics, including:
Training Objectives
Digitcyber Infotech Consulting Limited is a dynamic and innovative technology solutions provider, digital educational technologies (Edu-Tech) training, software development and emerging digital innovation IT consultant committed to empowering businesses through cutting-edge technology.
- Interpret Financial Statements: Understand and analyze financial statements to assess a company's financial health.
- Apply Statistical Techniques: Use statistical techniques to analyze financial data and identify trends.
- Utilize Data Mining and Visualization Tools: Extract insights from large datasets and create compelling data visualizations.
- Build Financial Models: Develop financial models to forecast future performance and make informed decisions.
- Assess Financial Risk: Identify, assess, and mitigate financial risks.
- Evaluate Investment Opportunities: Analyze investment opportunities and make sound investment decisions.
- Forecast Financial Performance: Predict future financial performance using advanced forecasting techniques.
- Make Data-Driven Decisions: Use data analytics to support strategic decision-making.
- Communicate Financial Insights: Effectively communicate financial insights to both technical and non-technical audiences.
- Stay Updated on Financial Technologies: Keep up-to-date with the latest advancements in financial technology.
The program will cover
By combining Agile Project Management and Scrum Master training, participants will gain a comprehensive understanding of Agile principles and practices, enabling them to lead and manage successful Agile projects.
Problem Solving
- Defining the Problem Statement
- CRISP-DM
- Identifying Potential Root Causes Using the 5 Why's
- Designing an Issue Tree
- The McKinsey MECE Approach to Problem Solving
- The Prioritization Matrix
- Choosing the Right Data Analytics Approach
- Making a Decision
Microsoft Excel for Data Analytics
- Introduction to Data Analytics
- Introduction to Microsoft Excel
- Microsoft Excel for Data Manipulation and Cleaning
- Microsoft Excel for Data Analysis
- Microsoft Excel for Dashboarding and Reporting
- Data Storytelling
Power BI
- Introduction to Power BI
- Data Modelling
- Power BI for Data Analytics
- DAX - Data Analysis eXpressions
- Power BI for Dashboarding
- Power BI Service
SQL (Structured Query Language)
- Introduction to SQL
- SQL Commands
- SQL for Data Analytics
- Data Query Language
- Aggregate Functions
- Joins and Subqueries
Financial Analytics
- Introduction to Accounting Concepts
- Understanding Financial Statements
- Financial/Ratio Analysis
- Depreciation and Amortization
- Building Business and Financial Model Assumptions - New Business
- Income Statement Modelling
- Balance Sheet Modeling
- Cash Flow Statement Modelling
- Valuation using DCF and Multiples
- Scenario and Sensitivity Analysis
- Financial Dashboard and Reporting
- Building Business and Financial Model Assumptions - Existing Business
Microsoft Fabric
- Introduction to Microsoft Fabric
- Creating a Fabric Workspace and Lakehouse
- Writing SQL Queries in Fabric
- Building Power BI Reports in Fabric
ChatGPT for Data Analytics
- Introduction to ChatGPT
- Leveraging ChatGPT for Data Analytics
- Insight and Recommendations
- Data Storytelling using ChatGPT