• views: 32
• date: 25 September 2024
• posted by: oaxino

Power BI - Profit and Loss Statement Analysis


Monthly Analysis, Yearly Analysis and Trend Analysis

What you'll learn
Power BI Fundamentals: Covering data import, data modeling, analysis, and visualization techniques.
Financial Statement Preparation: Creating Profit & Loss Statements (Income Statements).
Monthly Profit & Loss Analysis: Conducting detailed monthly reviews of financial performance.
Yearly Profit & Loss Analysis: Performing comprehensive yearly evaluations of financial statements.
Trend Analysis: Developing charts to analyze trends in gross profit and net profit.
Matrix Table Formatting: Utilizing DAX formulas to format tables and perform calculations.
Comprehensive Profit Calculations: Displaying Gross Profit, Gross Profit %, EBITDA, EBIT, EBT, and Net Profit in a single table.
Dynamic Financial Dashboards: Designing visually appealing and interactive financial reporting and analytics dashboards.
Requirements
Understanding of Power BI
Basic knowledge of Income Statements
Familiarity with DAX (Data Analysis Expressions)
Description
To prepare Financial Statements and Analyze Financial Data, Power BI is the top choice for professionals and organizations due to its robust business intelligence capabilities. However, the extensive features of Power BI can introduce complexities, making expert training essential for effectively creating financial reports and analytics.Our goal is to equip you with the skills necessary to build and enhance Income Statement analyses using Power BI. This course is designed to provide a comprehensive understanding of the entire analytical process, ensuring you feel confident and capable in your financial analysis.Skill Development:We aim to help you master the key components of Income Statement analysis, empowering you to derive valuable insights from financial data.Data Setup:You will learn how to effectively set up your data within Power BI, including importing data from various sources and organizing it for analysis.Creating Accounting Groups:We'll guide you in creating relevant accounting groups, which are essential for categorizing financial data accurately and making your analyses more meaningful.Detailed Calculations:You will perform in-depth calculations using DAX (Data Analysis Expressions), enabling you to calculate key financial metrics like Gross Profit, EBITDA, and Net Profit with precision.Visualization Techniques:The course will cover effective visualization strategies to present your findings clearly and compellingly, ensuring that your analyses communicate insights to stakeholders effectively.Hands-On Learning:Through practical exercises and real-world scenarios, you will apply your knowledge, reinforcing your skills and boosting your confidence in using Power BI for financial analysis.Outcome Focus:By the end of the course, you will have a solid foundation in analyzing Income Statements and the ability to create impactful financial reports that drive informed decision-making.This comprehensive approach ensures you not only understand the theoretical aspects but also gain practical skills that can be applied in your professional role.
Who this course is for
This Project-Based Course is designed for Business Analysts, Account Professionals, and Power BI Developers who want to gain expertise in analyzing Profit and Loss/Income Statements. You'll develop your analytical skills through hands-on demonstrations and assignments.

Homepage:

https://www.udemy.com/course/power-bi-profit-and-loss-statement-analysis/

Download link

rapidgator.net:


ddownload.com:


   
   
   

We need your support!
Make a donation to help us stay online
        
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
	
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem

Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u

USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm

Related news:

0 1 2 3 4 5

| Print version |

	Information
		Users of GUESTS are not allowed to comment this publication.