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Taxmann Cracker Financial Management & Business Data Analytics New Syllabus 2022 for CMA Inter by Tarun Agarwal Applicable For June 2024 Exams

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Taxmann Cracker Financial Management & Business Data Analytics New Syllabus 2022 for CMA Inter by Tarun Agarwal Applicable For June 2024 Exams

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Taxmann Cracker Financial Management & Business Data Analytics New Syllabus 2022 for CMA Inter by Tarun Agarwal Applicable For June 2024 Exams

Taxmann Cracker Financial Management & Business Data Analytics New Syllabus 2022 for CMA Inter by Tarun Agarwal Applicable For June 2024 Exams

Description

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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