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CMA Inter Cracker Financial Management & Business Data Analytics (2022 Syllabus) By Tarun Agarwal Applicable for Dec 2023 Exam

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This book covers all past exam questions & detailed answers for the CMA-Intermediate exam by ICMAI till July 2023. It also includes tabular summaries at the beginning of each chapter, module-wise marks distribution and trend analysis of past exams.

CMA Intermediate | Dec. 2023 Exam

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Taxmann CMA Inter Financial Management and Business Data

Taxmann CMA Inter Financial Management and Business Data

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

The Present Publication is the latest 2023 Edition for CMA Intermediate | Dec. 2023 Exam. This book is authored by CA Tarun Agarwal, with the following noteworthy features:

  • Strictly as per the Syllabus of ICMAI
  • Coverage of the book concludes:
  • [Past Exam Questions] till CMA-Intermediate July 2023 Exam
  • 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
  • [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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