Centre for Online Education - BCOC-134 Business Mathematics and Statistics

Offered bySwayam

BCOC-134 Business Mathematics and Statistics
at
Swayam
Overview

Mastering Quantitative Techniques: Essential Mathematical and Statistical Skills for Effective Business Decision-Making and Data Analysis

Duration	15 weeks
Start from	Start Now
Mode of learning	Online
Official Website	Go to Website
Credential	Certificate

BCOC-134 Business Mathematics and Statistics
at
Swayam
Highlights

Earn a certification after completion
Learn from expert faculty

BCOC-134 Business Mathematics and Statistics
at
Swayam
Course details

Skills you will learn

Taxation Regression Business Analysis Statistics Data analysis Forecasting

Who should do this course?

Individuals working in business, finance, accounting, or related fields who seek to enhance their quantitative analysis skills for better decision-making and data interpretation

What are the course deliverables?

Students will demonstrate a clear understanding of basic mathematical and statistical concepts and their applications in a business context
Students will be able to apply mathematical techniques such as algebra, calculus, and linear programming to solve business-related problems
Students will develop the ability to collect, organize, and analyze data using statistical methods, and interpret the results to make informed business decisions
Students will understand probability theory and its applications, including various probability distributions, and will be able to apply these concepts to assess risk and uncertainty in business scenarios

More about this course

As an owner or manager of a business enterprise you need to manage money and take decisions on the basis of accurate estimates which require everyone to know mathematics and statistics. This course is divided into two parts Business Mathematics (Part A) and Statistics (Part B)
Part A enables the students to know the financial formulas, fractions; measurements involved in interest calculation, hire rates, salary calculation, tax calculation etc. which help complete business tasks efficiently
Whereas, Part B enables the learners to make various kinds of analysis on the basis of accurate estimates that helps a business to deal with uncertainties by forecasting seasonal, cyclic and general economic fluctuations

BCOC-134 Business Mathematics and Statistics
at
Swayam
Curriculum

Week-1: Matrices

Unit-1: Introduction to Matrices

Week-2: Determinants

Unit-2: Determinants

Week-3: Inverse Matrix

Unit-3: Inverse of Matrices

Week-4: Mathematical Functions

Unit-4: Application of Matrices in Business and Economics;

Unit-5: Mathematical Functions

Week-5: Differential calculus

Unit-6: Limit and Continuity

Week-6: Differentiation-1

Unit-7: Concept of Differentiation

Week-7: Differentiation-2

Unit-8: Maxmima and Minimima of Functions;

Unit-9: Application of Derivatives

Week-8: Basic Mathematics of Finance

Unit-10: Interest Rates;

Unit-11: Compounding and Discounting

Week-9: Univariate Analysis-1

Unit-12: Introduction to Statistics;

Unit-13: Measures of Central Tendency

Week-10: Univariate Analysis-2

Unit-14: Measures of Dispersion

Week-11: Bivariate Analysis-1

Unit-15: Simple Linear Correlation

Week-12: Bivariate Analysis-2

Unit-16: Simple Linear Regression

BCOC-134 Business Mathematics and Statistics
at
Swayam
Faculty details

Dr. Anupriya Pandey

Instructor has 15 years of experience in teaching, training, research and consultancy. Special area of interest is entrepreneurship. She has contributed in the area of marketing by way of teaching, writing research papers and writing self instructional reading materials.

Prof. M.S.S. Raju

Started teaching career from December, 1984 as a Lecturer in conventional university, taught UG Courses 14 years 6 months. Joined in IGNOU in May, 1999. Presently, having 34 years 6 months teaching experience. Published 15 articles /research papers, edited 35 units, written one book and seven units, revised 36 units, developed programme guide for M.Com (IDT), guided one Ph.D. and one M.Phil, supervising 5 Ph.Ds and 1 M.Phil.