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

Description

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 2^nd 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