Post Graduate in Financial Statement Analysis- Henry Harvin®

Post Graduate in Financial Statement Analysis

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Gear up your career in the competitive field of Finance | Gain expertise in financial statement analysis | Learn essential skills for analyzing financial statements effectively and making informed decisions

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22 Apr 2024

Learning Period

150Hours

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About the Post Graduate in Financial Statement Analysis

Post Graduate in Financial Statement Analysis

Looking to advance your career in finance? Henry Harvin® Post Graduate in Financial Statement Analysis course provides comprehensive training in finance. This comprehensive post-graduation course in financial statement analysis will equip learners with the knowledge and skills to evaluate financial statements accurately and make strategic decisions.

Who can Enroll

  • Beginners and Intermediate in Finance
  • Financial Managers
  • Accountants
  • Consultants
  • Business owner
  • Bankers
  • Financial Analyst
  • Aspirants seeking career/salary growth

10 in-1 Benefits

  • Live Classes: 150 Hours of Two-Way Live Online Interactive Sessions
  • Projects: Facility to undergo projects in financial statement analysis, financial modelling, Advanced Excel & more
  • Internship: Get Internship Support to gain experiential learning
  • Certification: Get course completion Certification of Post Graduate in Financial Statement Analysis from Henry Harvin® Govt of India recognized & Award-Winning Institute, and showcase expertise
  • Placement: 100% Placement Support for 1-Year post successful completion of the course
  • E-Learning: Free access to E-learning Portal and future updates
  • Masterclass: Access to 52+ Masterclass Sessions for essential soft skill development
  • Hackathons: Free Access to #AskHenry Hackathons and Competitions
  • Membership: 1-Year Gold Membership of Henry Harvin® Finance Academy for the Post Graduate in Financial Statement Analysis
  • Entrepreneurship Mentorship: Mentorship from Young Successful Entrepreneurs to set up a sustainable & scalable Business from scratch at both Freelance & Entrepreneur level.

Trainers at Henry Harvin® 

  • Most renowned industry experts with 14+ years of work experience and recognized by various organizations over the years for their work.
  • Have been invited to 350+ keynote classes for the Post Graduate in Financial Statement Analysis .
  • Have delivered 510+ lectures and are currently enlisted as domain experts with Henry Harvin® Finance Academy

Alumni Status 

Become a part of the Elite Finance Academy of Henry Harvin® and join the 4,60,000+ large Alumni Network Worldwide.

Gold Membership Benefits 

  • Avail 1-Year Gold Membership of Henry Harvin®  Finance Academy that includes E-Learning Access through recorded Videos
  • Free Masterclass Sessions access.
  • Earn the Prestigious Henry Harvin®️ Alumni Status and become one of the reputed 4,60,000+ Alumni across the globe.
  • Guaranteed Internship with Henry Harvin®️ or partner firms
  • Weekly 10+ job opportunities offered.
  • Experience Industry Projects during the training

Learning benefits

  • Earn globally recognized Certification 
  • Develop a deep understanding of financial statement analysis techniques.
  • Gain proficiency in interpreting and analyzing financial statements.
  • Learn to assess the financial health and performance of companies.
  • Acquire skills to make informed investment decisions.
  • Enhance your career prospects in finance and accounting roles.
  • Expand your knowledge of financial markets and industry trends.
  • Development of critical problem-solving skills
  • Access plenty of Job opportunities and build your career in International Companies

Recognitions of Henry Harvin® Education

  • Winner of Top Corporate Training Award, Game-Based Learning Company of the under 40 Business World Award
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Know the complete offerings of our Post Graduate in Financial Statement Analysis

Post Graduate in Financial Statement Analysis Curriculum

  • Course 1: CFSA- Certified Financial Statement Analysis Course

    Module 1

    • Introduction to Accounting and Financial Statement
    • Why do we need Accounting
    • Importance and need for Book keeping
    • Purpose of Financial Analysis
    • Types of Analysis
    • Need of Financial Reports

            

    Module 2

    • Understanding Financial Statements
    • Nature & objectives of Financial Statements (P&L, balance sheet,cash flow)
    • Uses & Limitations of Financial Statements
    • Understanding, Income Statement
    •  

    Module 3

    • Financial Statement Analysis
    • Tools and techniques of financial statement analysis
    • Cash flow statement
    • Sources of financial information

    Module 4

    • Report Preparation of Financial statement Analysis
    • Types of business combinations
    • Consolidated financial statements

    Module 5

    • Balance Sheet Analysis and Ratio Analysis
    • Balance Sheet Breakdown
    • Balance Sheet Ratio Summary
    • Component to Ratio Analysis
    • General Ratio
    • Funding Gap
    • Working Capital

    Module 6

    • Income Statement Analysis
    • Break down of income statement
    • Vertical analysis
    • Horizontal analysis
    • Sources of benchmarking
    • Depreciation concepts
    • Amortization

    Module 7

    • Cash Flow Statement
    • Understanding cash flow statement
    • Operating activities
    • Investing activities
    • Financing activities
    • Cash flow analysis
    • Understanding convertible securities
    • Understanding non-convertible securities

    Module 8

    • Rate of Return Analysis
    • Comparative Statement
    • Common Size Statement
    • Du-Pont Analysis
    • Inter-company transactions and profit confirmations
    • Minority interest
    • Consolidated net income
    • Consolidated retained earnings
  • Course 2: Financial Modeling Course

    Module 1

    • MS Excel Tips
    • Understanding and creating a Financial Model template
    • Case: Formatting the data, summarizing, and creating a presentable format
    • Formatting the imported file with text to columns
    • Getting the relevant information from a string of data using Left, Trim
    • Converting text to numerical using text to columns
    • Using referencing framework (usage of $) to effectively use formulas
    • Summarize the sum of sales with Pivot Tables
    • Converting data into a tabular format
    • Identify high-profit sales using conditional formatting

    Module 2

    • Financial Statement and Ratios Analysis
    • Introduction to Financial Statement Analysis</ li>
    • Financial Reporting Mechanics,
    • Understanding Income Statement, Balance Sheet, Cash Flow Statement
    • Financial Analysis Techniques
    • Inventories, Long-Lived Assets
    • Non-Current Liabilities
    • Financial Statement Application
    • Ratio analysis of Industries
    • Du point Analysis
    • Peer to peer analysis
    • Preparation of Financial Analysis report on an industry

    Module 3

    • Financial Management and Corporate Finance
    • Time value of money
    • Long term financing
    • Cost of capital
    • Measure Of Leverage

    Module 4

    • Project Finance Modeling
    • Why Project evaluations
    • Stages of project
    • Construction & development phase
    • Funding during investment phase
    • Costs during the investment phase
    • Life of project; decision making
    • Cash flow waterfall
    • Resolving circular reference

    Module 5

    • Equity Research Modeling
    • Prepare Financial Statement
    • Analyze Revenue and Costs
    • Forecast Revenues, Costs, Debt, etc.
    • Project Future Financial Statements
    • Performa Adjustments, Compute Margins/Ratios
    • Valuation- Discounted Cash Flow Method (DCF), Others
    • Prepare Presentation Sheet, Company Overview, Sector Overview

    Module 6

    • Financial Reporting Writing
    • Report Writing: On the basis of Financial Modeling,
    • Overview of different sectors such as retail, telecom, IT, Oil & Gas, etc.

    Module 7

    • Modeling Practise
    • Data Collection and Data Structuring
    • Preliminary Scrutiny of the Data and Information
    • Understand the Business Model and Operating Model
    • Modeling the Historical Statement
    • Modeling Assumptions for Future Action
    • Modeling Revenue Build-up – projecting the future revenues
    • Modeling Cost Build-up – projecting the future cost
    • Modeling the Asset Schedule
    • Modeling the Depreciation Schedule – Book and Income Tax Depreciation
    • Comparing the Valuation Summary using Different Parameters on a football field
    • Performing Sensitivity/Scenario Analysis
    • Performing Valuation using DCF (FCFF and Enterprise Value) and Comparable Analysis (Relative Valuation)
    • WACC and Cost of Equity Analysis
    • Modeling the Financial Statements, Ratio Analysis
    • Modeling Retained Earning Schedule
    • Modeling Paid Up Capital and Share Premium Account
    • Equity Modeling – Equity Infusion
    • Modeling Impact of Accumulated Losses, Current Tax and Deferred Tax on Tax Payable
    • Tax Modeling, MAT, and MAT credit
    • Working Capital and Term Loan Modeling – Debt Infusion
    • Quiz Module 7

    Module 8

    • Miscellaneous Practice
    • Data Collection from Public Sources
    • Understanding the Business Profile of the Company
    • Modeling Revenue and Expenses Drivers
    • Modeling Income Statement
    • Modeling Implied EBITDA
    • Balance Sheet Projections
    • Cash Flow Statement Projection
    • Performing Valuation and Sensitivity Analysis
    • Calculating Enterprise Value and Implied Market capitalization
    • Quiz Module 8
  • Course 3: Data Analytics in Finance with Python Course

    Module 1: Introduction to Data

    This module introduces data as a commodity and describes its significance, value and potential.

    Data sources

    • Variables, features and observations
    • Today's Industrial Revolution
    • Structured Data vs Unstructured Data
    • Ownership, rights, legislation and privacy
    • Big Data and the four Vs

    Module 2: Introduction to Python

    A brief introduction to object-oriented programming and the Python programming language.

    • What is Python?
    • Why is Python so prevalent?
    • Why use Python in Finance?
    • Why use Python over Excel?

     

    Module 3: Python Programming I

    Get detailed training on how to code in Python.

    • Python’s Syntax
    • Collections
    • Strings
    • Operators
    • Conditional statements and Loops
    • Functions: User Defined Functions
    • Modules: writing simple python programs, sharing code, importing code

     

    Module 4:Data Analysis with Python

    Unlock the true power of Python for data analytics using state-of-the-art, specialized libraries.

    • Python libraries
    • Numerical Computing
    • Introduction to Data Analysis
    • Data Wrangling
    • Data Visualization utilizing packages such as Matplotlib
    • Plotting time-series data

     

    Module 5: Financial Data Analysis with Python

    In this module, participants will enhance their data analysis skills in Python by learning the fundamental techniques used in financial analytics.

    • Connecting to data sources using and API and web scraping
    • Correlation
    • Advanced measures of distance
    • Linear regression (OLS)

     

    Module 6: Machine Learning with Python

    Gain an understanding of how to apply modern machine learning algorithms to solve problems and answer questions in finance.

    • Introductory concepts
    • Model evaluation
    • Supervised learning
    • Unsupervised learning
  • Course 4: IFRS Course

     

    IFRS No.

    Name of IFRS

    Introduction to IFRS

    IAS 2

    Inventories

    IAS 7

    Statement of cash flows

    IAS 8

    Accounting policies, changes in accounting estimates and errors

    IAS 10

    Events after the reporting period

    IAS 12

    Income taxes

    IAS 16

    Property, plant and equipment

    IAS 23

    Borrowing costs

    IAS 27

    Separate financial statements

    IAS 36

    Impairment of assets

    IAS 37

    Provisions, contingent liabilities and contingent assets

    IAS 38

    Intangible Assets

    IFRS 9

    Financial instruments for corporates

    IFRS 9

    Financial instruments for banks

    IFRS 10

    Consolidated financial statements

    IFRS 13

    Fair value measurement

    IFRS 15

    Revenue from contracts with customers

    IFRS 16

    Leases

  • Course 5: Advance Excel Training Course

    Module 1: Introduction to MS Excel

    • Advantages of using MS Excel & Various purpose to use Excel
    • Understanding of Workbook, Worksheet, columns, rows & Cells
    • Ribbon & Tabs
    • Quick access bar, Formula bar, Name bar, Status bar
    • Keyboard Shortcuts & Navigation while using large data
    • Different Use of Mouse
    • Insert Comment

            

    Module 2: Working With Tables

    • Advantage of Converting data into tables
    • Structured formula
    • Use of Slicers
    • Dynamic Range

    Module 3: Understanding Cell References

    • Absolute Reference
    • Relative Reference
    • Mixed Reference
    • 3D Reference

    Module 4: Basics Functions of Excel

    • Text to Column
    • Flash Fill
    • Auto Fill

    Module 5: Sorting Data

    • In Ascending & Descending Order
    • Sort with Text, Numbers & Date
    • Sort with formatting (Cell, Color, Font Color)
    • In Multiple Order
    • In Custom Order

    Module 6: Filtering Data

    • Applying Filters by text, numbers, or date on the Data
    • Advanced Filter: Setting up Criteria to Filter the data
    • Applying Complex Criteria
    • Clearing the existing criteria
    • Use Wildcard characters in Filter Criteria

    Module 7: Data Consolidation/ Basics of Formula/ Functions

    • Form multiple Sheets
    • Form multiple Files
    • Understanding Syntax, Intellisense, Suggestion box & optional argument
    • Basic Calculations & BODMAS Rule
    • Calculate Square, cube & Raise Number to Power

    Module 8: If Functions and Test Functions

    • Simple If
    • Combination of If with OR, AND & NOT
    • Nested If Function
    • LEN, TRIM, LEFT, RIGHT, MID, FIND, SEARCH, CONCATENATE, UPPER, LOWER, PROPER
    • REPLACE, SUBSTITUTE, SEARCH, FIND

    Module 9: Working With Dates, Countifs, and Sumifs

    • Date & Time Formula
    • COUNTIF, COUNTIFS, SUMIF, SUMIFS

    Module 10: Lookup and information Functions

    • Lookup Functions - VLOOKUP. HLOOKUP. LOOKUP
    • Disadvantage / Limitations of Vlookup
    • Reference Functions - MATCH INDEX
    • Simple XLookup
    • Exact Match
    • Approx Match
    • Nested XLookup
    • Case Sensitive Xlookup
    • Multiple Answer column Xlookup
    • Lookup Repeating Value (Using Filter)

    Module 11: Using Named Ranges

    • Defining and Using Range Names
    • Using Named Ranges in Functions

    Module 12: Data Validation

    • By Numbers, Text Length, Date, List (dropdown)
    • Input Message and Error Message
    • Dependent Data Validation
    • Dynamic Dropdown range with Table

    Module 13: Dynamic Array Formula

    • Spilled Ranges & use of #
    • Sort
    • Sort by
    • Unique
    • Filter
    • Sequenc
    • Ifs

    Module 14: Using Conditional formatting

    • Applying Conditional Formatting
    • Applying Multiple Rule Sets
    • Creating Custom Rule Sets
    • Viewing and Managing Rules
    • Clearing Custom Rules

    Module 15: Macros (only Recording, non VBA)

    • Displaying the Developer Tab
    • Review and Purpose of Macros
    • Where to Save Macros
    • Absolute and relative record
    • Running macros: Assigning to Quick Access Toolbar, shapes
    • Pictures and keyboard shortcuts
    • Macro recording with charts & sorting Data
    • Alter the recorded code
    • User-Defined Function (UDF)
    • use pre built VBA code

    Module 16: Summarizing Data With Pivot Tables

    • Creating Pivot Tables
    • Rearranging Pivot Table Data
    • Modifying Pivot Table calculations
    • Drill-Down
    • Filtering the Pivot data
    • Summarizing Values by Sum. Count. Average. Max. and Product
    • Show Values As % of Grand Total, % of Column Total, % of Row Total
    • Grouping Fields
    • Creating Calculated Column(s) in Pivot
    • Creating Calculated Item(s) in Pivot
    • Showing and Hiding the Grand Totals
    • Refreshing data in pivot table
    • Changing the scope of data source

    Module 17: Working With Slicers

    • Inserting and Using a Slicer
    • Renaming the Slicer
    • Changing Slicer Settings
    • Formatting a Slicer
    • Clearing the Slicer

    Module 18: Power Pivot / Power Query

    • Enable PowerPivot
    • Understand Import Data, Transform data, Data Model to create a report
    • Use Load, Load to & Transform Data
    • Use of Power query to record steps for all files from a folder
    • Add column, Update Column with Text, Numbers, & date

    Module 19: Charts

    • Selecting data
    • Formatting your Chart
    • Understanding Different Types of Charts
    • Combo Chart
    • Creating Custom chart types
    • Use of Secondary Axis
    • Using Trend Line in Charts

    Module 20: Other Topics

    • Format Painter
    • Freeze Pans
    • Removing Duplicates
    • Transposing Data
    • Paste Special
    • Print Settings
    • Custom Formatting

    Module 21: Excel Dashboard

    • Objective to Create Dashboard
    • Create Pivot Table & Charts
    • Design Dashboard
    • Use Macro to Automatically Refresh all when row data is changed or new data is added

    Module 22: Protecting and Security

    • Password Protect workbook (file) for open & modify
    • Password Protect Sheet
    • Password protect workbook structure (Review => protect Sheet)
    • Allow Edit Range with password

    Module 23: Mail Merge

    • Understand Mail Merge

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