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

Financial Management and Business Data Analytics (FMDA) | CRACKER

Books from same Author: Tarun Agarwal

Books from same Publisher: Taxmann

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  • General Information  
    Author(s)Tarun Agarwal
    PublisherTaxmann
    Edition2024
    ISBN9789357785709
    Pages368
    Bindingpaperback
    LanguageEnglish
    Publish YearAugust 2024

    Description

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

    This book is specifically designed to meet the requirements of the Intermediate Level Cost & Management Accountancy Examination. It includes past exam questions and detailed answers aligned with the latest ICMAI syllabus.
    The Present Publication is the 3rd Edition for the CMA Intermediate | New Syllabus | Dec. 2024/June 2025 Exam. This book is authored by CA Tarun Agarwal, with the following noteworthy features:
    [Strictly Adheres to the New ICMAI Syllabus] Ensuring complete alignment with the latest requirements
    [Comprehensive Coverage]
    Past Exam Questions – Includes questions from the CMA-Intermediate | June 2024 Exam, divided into:
    Part I – Objective Questions (MCQs, Blanks, True/False, Match, and Short Sums)
    Part II – Descriptive Questions
    Part III – Numerical Problems
    Chapter Introductions – Covering important definitions, concepts, and formulas
    Sample Questions – For newly introduced topics in the syllabus
    [Tabular Summaries] Provided at the beginning of each chapter for quick reference
    [Marks Distribution] Detailed chapter-wise distribution from June 2017 onwards
    [Previous Exam Trend Analysis] Provided from July 2023
    [ICMAI Study-Material Comparison] Given module-wise for a comprehensive understanding
    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