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Statistical Tools for Financial Analysis

This course is part of Financial Analytics & Decision Science Specialization

Instructor: EDUCBA

Included with

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2 modules

Gain insight into a topic and learn the fundamentals.

5 hours to complete

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

5 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Apply statistical measures to analyze financial datasets and market performance.
Use spreadsheet functions for financial calculations and data evaluation tasks.
Interpret stock return trends using quantitative and spreadsheet-based analysis.

Skills you'll gain

Tools you'll learn

Microsoft Excel

Details to know

Shareable certificate

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Build your subject-matter expertise

This course is part of the Financial Analytics & Decision Science Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 2 modules in this course

Learn how to analyze financial datasets using statistical tools and Excel-based analytical techniques to identify trends, evaluate market data, and support data-driven financial decisions. Master practical financial analytics skills used by analysts and finance professionals.

This course provides a hands-on introduction to statistical analysis for financial data using spreadsheet tools and real-world market examples. You’ll learn how to calculate and interpret key statistical measures such as mean, trimmed mean, geometric mean, mode, maximum and minimum values, and standard deviation to evaluate financial performance and data variability. Throughout the course, you’ll apply practical spreadsheet functions including SUMPRODUCT, SUMIF, exponential, logarithmic, and absolute value calculations to analyze financial datasets effectively. You’ll also learn how to rank stock returns, apply threshold-based filtering, and compare financial data across stock exchanges such as BSE and NSE to identify meaningful patterns and market insights. What makes this course unique is its practical, spreadsheet-driven approach that combines statistical reasoning with real financial data analysis. Instead of focusing only on theory, learners gain hands-on experience applying quantitative methods directly to financial datasets. By the end of the course, you’ll be able to confidently analyze financial data, interpret statistical results, apply advanced spreadsheet functions, and make informed financial decisions using quantitative analysis techniques.

Module details

This module introduces fundamental statistical concepts used in financial data analysis. Learners explore essential measures of central tendency and dispersion, including mean, trimmed mean, geometric mean, mode, maximum and minimum values, and standard deviation. Through practical Excel-based examples, the module builds foundational skills for interpreting financial datasets and understanding how statistical tools support financial decision-making.

What's included

6 videos4 assignments

6 videosTotal 42 minutes

Introduction to Statistical Tool6 minutes
Trimmed Mean6 minutes
Geometric Mean6 minutes
What is Mode7 minutes
Max and Min Value5 minutes
Standard Deviation12 minutes

4 assignmentsTotal 60 minutes

Foundations of Statistical Analysis for Financial Data30 minutes
Introduction to Statistical Concepts10 minutes
Understanding Central Tendency10 minutes
Measuring Data Range and Volatility10 minutes

This module focuses on applying statistical and mathematical functions to real financial datasets using spreadsheet tools. Learners practice working with advanced Excel functions such as SUMPRODUCT, SUMIF, exponential, absolute, and logarithmic calculations. The module also demonstrates how to rank financial data, apply threshold filtering, and compare stock market datasets such as BSE and NSE to extract meaningful financial insights.