DATA ANALYSIS FOR FINANCE PROFESSIONALS (CFI STANDARD)

Tickets
From ₦ 210,000.00 to ₦ 280,000.00
Tickets ×
Live-Online Training
₦ 210,000.00 210000.0 NGN
Classroom
₦ 280,000.00 280000.0 NGN

Live-Online Training: N210,000
Classroom Training: N 280,000
3 - 4 participants: 5% discount
5 or more participants: 10% discount

(Available also for Customised Training by Duration, Venue & Fee)


Course Description:

This intensive 3-day course is designed for finance professionals who want to leverage data analysis techniques to enhance their decision-making processes. Participants will learn to use Excel for financial modeling, statistical analysis, and data visualization to gain meaningful insights and create impactful reports.

Course Objectives:

●     Understand fundamental features and functions of Excel for financial analysis.

●     Build dynamic financial models for forecasting and decision-making.

●     Apply statistical and analytical tools to draw insights from financial data.

●     Create impactful charts, graphs, and dashboards for data presentation.

●     Generate professional reports and automate reporting processes.

●     Identify and troubleshoot common errors in financial models

 

Course Content
Day One
Introduction to Data Analysis and Financial Data
  1. Welcome and Course Overview

○     Introduction to the course objectives and schedule

○     Importance of data analysis in finance


  1. Basics of Data Analysis

○     Introduction to data analysis concepts

○     Overview of data types and structures

○     Data collection methods and sources in finance


  1. Introduction to Financial Statements

○     Understanding balance sheets, income statements, and cash flow statements

○     Key financial ratios and their significance

 

4.    Tools for Data Analysis

○     Introduction to Excel and other financial analysis tools (e.g., Python, R)

○     Basic Excel functions for financial analysis (SUM, AVERAGE, VLOOKUP, etc.)


  1. Case Study: Financial Statement Analysis

○     Hands-on exercise analyzing a company's financial statements

○     Identifying trends and making initial assessments

 

Day Two 
Advanced Data Analysis Techniques
  1. Advanced Excel Functions

○     Pivot tables and data summarization

○     Advanced functions (IF, INDEX-MATCH, etc.)

○     Data visualization with charts and graphs


  1. Introduction to Statistical Analysis

○     Basic statistical concepts (mean, median, standard deviation)

○     Probability distributions and their applications in finance


  1. Financial Modeling Techniques

○     Introduction to financial models

○     Building a basic financial model in Excel

○     Sensitivity analysis and scenario planning


  1. Case Study: Financial Modeling

○     Hands-on exercise creating a financial model for a given company

○     Performing sensitivity analysis and interpreting result   

Day Three
 Data Visualization and Interpretation
  1. Data Visualization Techniques

○     Principles of effective data visualization

○     Creating interactive dashboards with Excel and Power BI

○     Visual storytelling for finance professionals

 

  1. Interpreting Financial Data

○     Key performance indicators (KPIs) and metrics in finance

○     Trend analysis and forecasting techniques


  1. Case Study: Data-Driven Financial Decisions

○     Hands-on exercise using data visualization to inform financial decisions

○     Presenting findings and recommendations


Date & Time
Monday
September 1, 2025
Start - 8:30 AM
Wednesday
September 3, 2025
End - 3:00 PM Africa/Lagos
Location

Tom Associates Training

5/7, Alade Lawal Street, Opposite Anthony Police Station, Off Ikorodu Road, Anthony Village,
NG-LA
Nigeria
+234 817 859 1654
+234 809 276 3968 | +234 810 365 2225
tomassociatestraining@yahoo.com | info@tomassociatesng.com
Get the direction
Organizer

Tom Associates Training

+234 817 859 1654
+234 809 276 3968 | +234 810 365 2225
tomassociatestraining@yahoo.com | info@tomassociatesng.com