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There are 2 modules in this course
Transform your approach to financial data with Cleanse, Analyze and Validate Financial Data, an intermediate course designed for finance professionals, analysts, and anyone looking to turn messy, unreliable data into a source of truth. In today's data-driven world, critical business decisions hinge on the quality of your financial reports, yet errors are common and costly. This course provides a powerful, practical workflow to ensure your data is accurate, consistent, and ready for analysis.
You will move beyond basic spreadsheets and master advanced Excel tools, focusing on Power Query to automate the entire data cleansing and transformation process. Learn to effortlessly import, reshape, and unify data from multiple sources, eliminating the manual, error-prone tasks that consume valuable time. You'll then dive into advanced PivotTable techniques, building dynamic, interactive dashboards with custom calculations to uncover deep insights. Finally, you'll learn to design and implement a robust data validation framework that proactively identifies and corrects anomalies, thereby safeguarding the integrity of your work. Through real-world case studies, hands-on labs, and a capstone project, you'll build the skills and confidence to deliver financial analysis that stakeholders can trust.
In this module, you will learn to master a powerful, modern workflow for financial data. You will discover why automated data transformation is critical, learn to use Power Query to cleanse and structure raw data, and then use that clean data to build advanced, interactive PivotTable dashboards to uncover key business insights.
What's included
3 videos1 reading2 assignments
Show info about module content
3 videos•Total 24 minutes
From Chaos to Clarity: The Power of an Integrated Workflow•8 minutes
Part 1: Transforming Data with Power Query•8 minutes
Part 2: Analyzing Data with PivotTables•8 minutes
1 reading•Total 6 minutes
The Modern Excel Workflow: Power Query and PivotTables•6 minutes
2 assignments•Total 25 minutes
Hands-On Learning: From Raw Data to Interactive Dashboard•20 minutes
Knowledge Check: Transformation and Analysis Fundamentals•5 minutes
Ensuring Data Integrity and Trust
Module 2•1 hour to complete
Module details
In this module, you will learn to build a resilient system for maintaining data quality. You will learn how to design and implement a proactive data validation framework to identify errors before they cause problems. This module culminates in a graded project where you will apply all the skills from the course to a new dataset, proving your ability to manage the full financial data lifecycle from cleansing to validation.
What's included
2 videos1 reading3 assignments
Show info about module content
2 videos•Total 16 minutes
Building a "Fire Alarm" for Bad Data•8 minutes
Implementing Validation Rules in Excel•8 minutes
1 reading•Total 8 minutes
A Framework for Data Validation•8 minutes
3 assignments•Total 55 minutes
Hands-On Learning: Detecting and Flagging Errors•20 minutes
Knowledge Check: Data Validation Principles•5 minutes
Project: Financial Data Integrity•30 minutes
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Is financial aid available?
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