Perform financial analysis & financial modeling using Microsoft excel. For people who want to become a Financial Analyst Sections of this Course -- 00:00:00 Introduction 00:03:11 Prerequisites: Excel formulas and functions 01:20:19 Time Value of Money 02:11:56 Analysis of Profit and Loss Statement 02:28:00 Loan Repayment Calculations 02:45:47 Methods of calculating Depreciation 03:08:08 Financial Ratio Analysis 03:36:58 Financial Charts and Dashboards - Introduction 03:40:39 Charts and Dashboards using Excel 05:57:35 Case Study - Finance Dashboard 06:29:30 Pivot Tables 06:45:00 Predictive Analytics - Introduction 06:47:10 Basics of Statistics 07:17:23 Machine Learning -Introduction 07:42:14 Getting Data Ready for Regression Model 09:00:28 Creating Regression Model 10:00:50 Finance Case Study - Linear Regression What you’ll learn : Use MS Excel to create and automate the calculation of Financial ratios Become proficient in Excel data tools like Sorting, Filtering, Data validations, and Data importing Implement predictive ML models such as simple and multiple linear regression to predict outcomes to real-world Finance problems Knowledge of all the essential Excel formulas required for Financial Analysis Requirements Theoretical concepts and use cases of different Financial models Step-by-step instructions on implementing Financial models in excel Downloadable Excel files containing data and solutions used in each lecture Class notes and assignments to revise and practice the concepts A brief overview of the course Part 1 – IntroductionIn this section, we will learn about the course structure and the meaning of some key terms associated with Financial Analytics. Part 2 – Essential MS Excel formulas and using them to calculate Financial metrics this part, we will start with a tutorial on all the popular MS Excel formulas. Then we will see the implementation of these to calculate and automate the Financial metrics. We also discuss a separate case study where we use Excel to calculate the average cost of external and internal hiring. Part 3 – Visualization in Excel and Financial DashboardingIn this part, we will begin with a tutorial on all the popular charts and graphs that can be drawn in MS Excel. Then we will see the implementation of these to create visualize Financial data. Part 4 – Data summarization using Pivot tables in this part, we will learn about several advanced topics in MS Excel such as Pivot tables, indirect functions, and also about data formatting. Then we will see the implementation of these to create beautiful summaries of Finance Data. Part 5 – Basics of Machine Learning and StatisticsIn this part, we introduce the students to the basics of statistics and ML. This part is for students who have no background understanding of ML and statistics concepts Part 6 – Preprocessing Data for ML models in this section, you will learn what actions you need to take step by step to get the data and then prepare it for analysis these steps are very important. We start with understanding the importance of business knowledge then we will see how to do data exploration. We learn how to do univariate analysis and bivariate analysis then we cover topics like outlier treatment, missing value imputation, variable transformation, and correlation. Part 7 – Linear regression model for predicting metrics this section starts with simple linear regression and then covers multiple linear regression. We have covered the basic theory behind each concept without getting too mathematical about it so that you understand where the concept is coming from and how it is important. But even if you don’t understand it, it will be okay as long as you learn how to run and interpret the result as taught in the practical lectures. https://www.udemy.com/course/excel-for-financial-analysis-financial-modeling/ #Excel #MSExcel