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Buy CA Foundation Math Full Course by Ashu Garg ( M.Sc )| Online Classes | Live+Recorded Backup classes with all the applicable amendments ! updated syllabus | Expert Teacher | 24×7 support. Join our Online Classes.
₹5,000.00
CA Foundation Maths online Classes By Ashu Garg ( M.Sc ) . Live + Recorded Backup Classes with all the applicable amendments. Study Material will be provided with the course.
Buy CA Foundation Math Full Course by Ashu Garg ( M.Sc )| Online Classes | Live+Recorded Backup classes with all the applicable amendments ! updated syllabus | Expert Teacher | 24×7 support. Join our Online Classes.
Buy CA Foundation Math Full Course by Ashu Garg ( M.Sc )| online classes | Live + Recorded Backup Classes with all the applicable amendments | latest Recordings. study materials will be provided with the same.
Kit Contents |
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Batch Recording |
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Video Language |
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Mode |
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Technical Support |
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Section A: Business Mathematics |
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Chapters |
Topics |
1. Ratio and Proportion, Indices and Logarithms |
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2. Equations and Matrices |
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3. Linear Inequalities with Objective Functions and Optimization w.r.t. Objective function. |
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4. Time value of Money |
a) Nominal Rate of Return b) Effective Rate of Return c) Compound Annual growth rate( CAGR) |
5. Permutations and Combinations |
Basic concepts of Permutations and Combinations: Introduction, the Factorial, Permutations, results, Circular Permutations, Permutations with restrictions, Combinations with standard results |
6. Sequence and Series |
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7. Sets, Relations and Functions |
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8. Basic applications of Differential and Integral calculus |
(Excluding the trigonometric applications)
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Section B: Logical Reasoning |
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1. Number series, Coding and Decoding and the odd man out. |
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2. Direction Tests |
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3. Seating Arrangements |
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4. Blood Relations |
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5. Syllogism |
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Section C: Statistics |
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1. Statistical description of Data |
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2. Measures of Central tendency and Dispersion |
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3. Probability |
Probability: Independent and dependent events; mutually exclusive events. Total and Compound Probability and Mathematical Expectation. |
4. Theoretical Distributions |
Theoretical Distributions: Binomial Distribution, Poisson distribution – Basic application and Normal Distribution – Basic applications. |
5. Correlation and Regression |
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6. Index Numbers and Time Series |
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