Course description
Data is the lifeblood of every industry, and the financial data industry is no exception. In today’s economy, where data is king and every business leader seeks to maximize its value, a financial data analyst is a hot commodity. At a time when data is so critical to our daily lives and business decisions, it’s becoming increasingly difficult for anyone to remain out of the financial data analysis game. However, it all comes down to acquiring the right skills. Most people think financial data analysts are employed by big banks and firms that provide financial advice, but they can be found in nearly every industry. A recent Bureau of Labor Statistics report found that data analysis, mining, and interpretive occupations are expected to grow faster than any other field between 2014 and 2024.
Financial data analysis is most sought after by which industry?
Financial data analysts work in various industries, including retail, manufacturing, healthcare, banking and finance, and even tech. In the finance industry, financial data analysts are responsible for analyzing market trends, assessing investment opportunities, and identifying risks and opportunities for growth. They work closely with portfolio managers, traders, and other financial professionals to make data-driven decisions that help to optimize investment performance and manage risk.
Upcoming start dates
Suitability - Who should attend?
Who should attend?
Rcademy’s Financial Data Analyst Course is ideal for data analysts and finance professionals looking to up their game and expand their skillset:
- Finance managers
- Corporate managers, strategic managers, departmental heads
- Financial analysts
- Market research analysts, business analysts, operations research analysts
- Data analysts
- Financial planners
- Policymakers
- Startup founders, entrepreneurs
Outcome / Qualification etc.
The objectives of Rcademy’s Financial Data Analyst are to enable professionals to:
- Get acquainted with accounting systems and procedures
- Learn to interpret financial statements
- Make sense of various financial parameters and variables
- Understand the basics of finance and its interplay with the functioning of the organization
- Understand the key financial drivers of a business
- Successfully assess the financial and operational efficiency of a business
- Predict future variables of a business using forecasting models
- Learn to use capital budgeting techniques to decide upon the best investment projects for the business
- Become adept at using Microsoft Excel for recording and analysis of financial data
- Become skilled at using Microsoft PowerPoint for efficient data visualization of financial analysis
- Learn to analyze business performance and provide valuable suggestions to the management
- Develop analytical and technical skills
- Learn various tools and techniques necessary to gauge the prospects of a business
Training Course Content
Module 1: Importance of Data in Finance
- Structured and unstructured data in finance
- Understanding Big data
- Data security and data quality
- Getting better insights into business
Module 2: Sources of Financial Data
- Understanding financial statements
- Industry benchmarks
- Using economic data
- Reading company reports
Module 3: Introduction to Financial Analytics
- Predictive sales analytics
- Client profitability analytics
- Product profitability analytics
- Shareholder value analytics
- Value drivers analytics
Module 4: Basics to Corporate Finance
- Investment decisions
- Finance decisions
- Dividend decisions
- Cost of capital
- Working capital data
Module 5: Financial Statement Analysis
- Trend analysis
- Time series analysis
- Financial ratio analysis
- Cost volume profit analysis
- Benchmarking analysis
Module 6: Predicting credit ratings
- Credit risk
- Credit rating analysis
- Understanding liquidity
Module 7: Understanding the Time Value of Money
- Interest rates
- Discounting and compounding
- Present value of money
- Future value of cash flows
Module 8: Portfolio Analysis and Management
- Efficient portfolio
- Markowitz portfolio theory
- Measurement of risk and return
- Understanding risk premium
- Capital market line
Module 9: Capital budgeting techniques
- Need for investment appraisal
- Net present value
- Internal Rate of Return
- Payback Period
Module 10: Using Microsoft Excel for data analysis
- Beginner tools
- Financial functions
- Pivot tables, lookup, and valuation equations
- Calculating regression, correlation
- Performing business valuation in Excel
Module 11: Understanding the basics of Microsoft PowerPoint
- Rules for presentation of financial data
- Financial infographics
- 10-20-30 rule
Module 12: Business Valuation Analysis
- Understanding free cash flow to the equity, free cash flow to the firm
- Absolute valuation
- Relative valuation
- Company profitability analysis
- Business model analysis
Module 13: Analysis and Forecasting Models
- Time series analysis and projection
- Econometric model
- Statistical forecasting models
Module 14: Case studies and activities
- Relative valuation of an industry
- Conducting Discounted Cash Flow analysis
Request info
Rcademy
Rcademy is a global training and consultation organisation set out to bridge the gap between you now and what you can be in the near future. We are facilitators of knowledge impartation. Our team of established and experienced training enthusiasts...