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Financial Management and Business Data Analytics (FMDA)  CRACKER at Meripustak

Financial Management and Business Data Analytics (FMDA) CRACKER by Tarun Agarwal, Taxmann

Books from same Author: Tarun Agarwal

Books from same Publisher: Taxmann

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  • General Information  
    Author(s)Tarun Agarwal
    PublisherTaxmann
    Edition2nd edition
    ISBN9789357786508
    Bindingpaperback
    LanguageEnglish
    Publish YearJanuary 2024

    Description

    Taxmann Financial Management and Business Data Analytics (FMDA) CRACKER by Tarun Agarwal

    This book is prepared exclusively for the Intermediate Level of Cost & Management Accountancy Examination requirement. It covers the questions & detailed answers as per the new syllabus of ICMAI.

    The Present Publication is the 2nd Edition for the CMA Intermediate | New Syllabus | June 2024 Exam. This book is authored by CA Tarun Agarwal, with the following noteworthy features:

    Strictly as per the New Syllabus of ICMAI
    Coverage of the book concludes:
    [Past Exam Questions] till CMA-Intermediate Dec. 2023 Exam (Suggested Answers)
    Part I – Objective Questions [MCQs, Blanks, True/False, Match and Short Sums]
    Part II – Descriptive Questions
    Part III – Numerical Problems
    [Introduction] to each Chapter covering:
    Important Definitions
    Concepts
    Formulas
    [Sample Questions] for Topics newly introduced in the syllabus
    [Tabular Summary] at the beginning of each chapter is given in this book
    [Marks Distribution] is given Chapter-wise from June 2017 onwards
    [Previous Exam Trend Analysis] is provided in this book from Dec. 2023
    [ICMAI Study-Material Comparison] is also given module-wise
    The contents of this book are as follows:

     Fundamentals of Financial Management
    Institutions and Instruments in Financial Markets
    Tools for Financial Analyses
    Sources of Finance and Cost of Capital
    Capital Budgeting
    Working Capital Management
    Financing Decision of a Firm
    Introduction to Data Science for Business Decision-making
    Data Processing, Organisation, Cleaning and Validation
    Data Presentation: Visualisation and Graphical Presentation
    Data Analysis and Modelling



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