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2020-12-10 15:56:45
30-Day Money-Back Guarantee

This course includes:

  • 10.5 hours on-demand video
  • 1 article
  • Full lifetime access
  • Access on mobile and TV
Finance & Accounting Financial Modeling & Analysis Financial Analysis

Financial Analysis and Financial Modeling using MS Excel

Perform financial analysis & financial modeling using Microsoft excel. For people who want to become a Financial Analyst
Rating: 4.4 out of 54.4 (280 ratings)
27,997 students
Created by Start-Tech Academy
Last updated 11/2020
English
English [Auto]
30-Day Money-Back Guarantee

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

  • This course on "Financial Analysis and Financial Modeling using MS Excel" only requires a PC with any version of Excel installed in it

Description

You're looking for a complete course on understanding Financial Analysis and Financial Modeling using MS Excel to drive business decisions, right?

You've found the right Financial Analysis using MS Excel course! Financial analytics provides scientific support to decision-making concerning a firm's money related matters. This course addresses the topic of Financial analytics with a practical focus, focusing especially on demystifying analytics for finance managers, from both statistical and computing point of view.

After completing this course you will be able to:

  • Use MS Excel to create and automate the calculation of Financial Ratios

  • Make Finance Dashboards and understand all the charts that you can draw in Excel

  • Implement predictive ML models such as simple and multiple linear regression to predict outcomes to real-world financial problems

  • Use pivot tables filtering and sorting options in Excel to summarize and derive information out of the financial data

  • Learn the commonly used financial formulas available in excel to calculate depreciation, loan-related calculations, NPV, IRR, etc.

How this course will help you?

A Verifiable Certificate of Completion is presented to all students who undertake this Financial Analytics: Strategies & Models in Excel course.

If you are a Finance manager or an executive, or a student who wants to learn and apply analytics techniques to real-world problems of the Finance business function, this course will give you a solid base for that by teaching you the most popular Financial analytics models and how to implement it them in MS Excel.

Why should you choose this course?

We believe in teaching by example. This course is no exception. Every Section’s primary focus is to teach you the concepts through how-to examples. Each section has the following components:

  • 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

The practical classes where we create the model for each of these strategies is something that differentiates this course from any other course available online.

What makes us qualified to teach you?

The course is taught by Abhishek (MBA - FMS Delhi, B.Tech - IIT Roorkee) and Pukhraj (MBA - IIM Ahmedabad, B.Tech - IIT Roorkee). As managers in the Global Analytics Consulting firm, we have helped businesses solve their business problem using Analytics and we have used our experience to include the practical aspects of HR analytics in this course

We are also the creators of some of the most popular online courses - with over 600,000 enrollments and thousands of 5-star reviews like these ones:

This is very good, i love the fact the all explanation given can be understood by a layman - Joshua

Thank you Author for this wonderful course. You are the best and this course is worth any price. - Daisy

Our Promise

Teaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet, or anything related to any topic, you can always post a question in the course or send us a direct message.

Download Practice files, take Quizzes, and complete Assignments

With each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts. Each section contains a practice assignment for you to practically implement your learning.

What is covered in this course?

The analysis of data is not the main crux of analytics. It is the interpretation that helps provide insights after the application of analytical techniques that makes analytics such an important discipline. We have used the most popular analytics software tool which is MS Excel. This will aid the students who have no prior coding background to learn and implement analytics concepts to actually solve real-world HR problems.

Let me give you a brief overview of the course

  • Part 1 - Introduction

    In 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

    In 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 Dashboarding

    In 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 Statistics

    In 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 uni-variate 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 a 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.

I am pretty confident that the course will give you the necessary knowledge and skills to immediately see practical benefits in your workplace.

Go ahead and click the enroll button, and I'll see you in lesson 1

Cheers

Start-Tech Academy

Who this course is for:

  • Anyone curious to master Excel for Financial Analysis in a short span of time
  • Financial Analysts/ Managers who want to expand on the current set of skills

Course content

17 sections • 87 lectures • 10h 36m total length

  • Preview03:12
  • Course Resources
    00:08

  • Preview13:10
  • Mathematical Formulas
    19:11
  • Textual Formulas
    17:25
  • Logical Formulas
    11:24
  • Date-Time Formulas
    07:07
  • Lookup Formulas_(V Lookup, Hlookup, Index-Match)
    08:46

  • Preview07:46
  • Excel: Simple Interest and Compound Interest
    08:28
  • Net Present Value
    07:40
  • Internal Rate of Return
    06:15
  • EXCEL: NPV and PV for calculating Present Value
    09:48
  • Excel: Internal Rate of Return
    08:01
  • Excel: NPV and IRR for particular dates
    03:37

  • Horizontal and Vertical Analysis
    04:06
  • Excel: Vertical Analysis
    07:00
  • Excel: Horizontal Analysis
    04:57

  • Loan Repayment concepts
    05:38
  • Excel: Calculating Payments
    08:50
  • Excel: Calculating Rate or Term
    03:17

  • Depreciation Methods and Straight Line Method
    04:37
  • Double Declining Balance Depreciation
    04:36
  • Sum of Years Digits Method
    03:53
  • Excel: Calculating Depreciation
    09:12

  • Theory: Financial Ratios
    14:47
  • Excel: Building a Template for Financial Ratio Analysis
    14:03

  • Financial Charts - Introduction
    03:31

  • Excel Charts - Categories of messages that can be conveyed
    04:34
  • Elements of charts
    05:32
  • The Easy way of creating charts
    03:17
  • Bar and column charts
    12:38
  • Formating charts
    15:13
  • Line Charts
    09:04
  • Area Charts
    06:04
  • Pie and Doughnut Charts
    13:04
  • Why we should avoid Pie charts
    04:05
  • Scatter plot or XY chart
    16:17
  • Frequency Distribution and Histograms
    13:03
  • Stock Charts
    11:28
  • Sparklines
    05:43
  • Waterfall Chart
    12:00
  • Heat Maps
    04:55
  • Quiz
    1 question

  • Financial Dashboard - Introduction
    05:58
  • Financial Dashboard - Time Series of Profit & Profit Margin
    06:06
  • Financial Dashboard - Trend of Revenue and Projection
    03:34
  • Financial Dashboard - Expense Analysis using Pie Chart
    03:40
  • Financial Dashboard - Target monitoring using Column chart
    05:27
  • Financial Dashboard - Collating and Formatting to create a Dashboard
    07:01

Instructor

Start-Tech Academy
1,700,000+ Enrollments | 4+ Rated | 160+ Countries
Start-Tech Academy
  • 4.3 Instructor Rating
  • 33,461 Reviews
  • 880,531 Students
  • 38 Courses

Start-Tech Academy is a technology-based Analytics Education Company and aims at Bringing Together the analytics companies and interested Learners. 
Our top quality training content along with internships and project opportunities helps students in launching their Analytics journey. 

Founded by Abhishek Bansal and Pukhraj Parikh.

Working as a Project manager in an Analytics consulting firm, Pukhraj has multiple years of experience working on analytics tools and software. He is competent in  MS office suites, Cloud computing, SQL, Tableau, SAS, Google analytics and Python.

Abhishek worked as an Acquisition Process owner in a leading telecom company before moving on to learning and teaching technologies like Machine Learning and Artificial Intelligence.


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