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Excel Error Checking For Excel Bi Solutions

Posted By: ELK1nG
Excel Error Checking For Excel Bi Solutions

Excel Error Checking For Excel Bi Solutions
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 795.52 MB | Duration: 1h 10m

Error Checking for Excel BI Solutions

What you'll learn

Learn how to detect, diagnose, and fix data errors to ensure accurate, reliable data analysis and business intelligence outputs.

Master techniques for identifying and resolving common data issues, ensuring that your data analysis remains accurate and trustworthy.

Gain the skills to spot and fix errors in your data, enhancing the credibility and reliability of your business intelligence reports.

Learn to troubleshoot and resolve data errors to maintain accurate, dependable analyses that drive informed business decisions.

Requirements

No advanced data analysis knowledge is required, as the course will guide you through the process of identifying and resolving errors step by step.

Basic Excel or Data Analysis Knowledge: Familiarity with Excel or any data analysis tool, as well as basic data handling skills.

Understanding of Data Structures: A general understanding of datasets, such as tables and basic data types, is helpful for diagnosing issues.

Access to Data Analysis Tools: You’ll need access to Excel or another tool used for data analysis to follow along with the exercises.

Description

Unlock the skills to ensure accurate and reliable data analysis with our course, Error Identification and Resolution in Excel, taught by renowned expert Ken Puls. This course focuses on one of the most critical aspects of data analysis: identifying, diagnosing, and resolving errors that can undermine the trustworthiness of your business intelligence outputs.Inaccuracies in data can lead to flawed decision-making, which is why it’s essential to master the techniques for spotting and fixing errors before they affect your analysis. Under the expert guidance of Ken Puls, you'll learn proven methods to catch common mistakes, such as formula errors, inconsistencies in datasets, and formatting issues. More importantly, you'll gain the skills to troubleshoot and resolve these issues efficiently, ensuring that your data is accurate and dependable.This course covers a wide range of error types, from simple entry mistakes to more complex calculation errors, and provides practical solutions to address them. You'll also learn how to implement best practices for data validation, error-checking, and auditing in Excel, ensuring your data remains clean and trustworthy throughout the analysis process.By the end of the course, you’ll have the confidence and expertise to maintain high standards of data integrity, enhancing the overall reliability of your business intelligence outputs. Elevate your Excel skills and ensure the accuracy of your data with Error Identification and Resolution in Excel, led by Ken Puls.

Overview

Section 1: Introduction to Error Handling

Lecture 1 The Need for Error Handlers

Section 2: Error Checking Steps & Demos

Lecture 2 Building the Global Framework

Lecture 3 Building a Local Error Checking Solution

Lecture 4 Adding Error Checks to the SCF Worksheet

Lecture 5 Adding Checks to the IS Worksheet

Lecture 6 Counting Total and Unique Table Entries

Lecture 7 Using Table Statistics to Cross Check Summaries

Lecture 8 Checking if a Pivot is Updated

Lecture 9 Adding Pivot Checks into a Model

Lecture 10 Final Testing

Students and Professionals: Those aiming to strengthen their data analysis skills by mastering error diagnosis and resolution techniques for more reliable results.,Excel and BI Users: Anyone who works with data analysis tools and wants to learn how to identify and correct errors to ensure accurate outputs.,Managers and Decision Makers: Leaders responsible for overseeing data integrity and ensuring the accuracy of business insights.,Business Analysts: Individuals who need to maintain accurate and trustworthy data for business intelligence reporting and decision-making.,Data Analysts: Professionals looking to improve their ability to identify and resolve data errors, ensuring reliable analysis.