B Com Semester IV - Business Stastics II
"Unlocking Data Insights: Mastering Business Statistics II for Informed Decision-Making"
Updated on Oct, 2025
Language - English
Lectures -20
Quizzes -1
Duration -3 hours
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Course Description
This course builds on the foundational concepts introduced in Business Statistics I, focusing on advanced statistical methods and their application in business decision-making. It emphasizes inferential statistics, probability distributions, regression analysis, and time series forecasting. Students will develop analytical skills to interpret data, draw meaningful conclusions, and make informed decisions in various business contexts.
Course Content
1. Regression
- Introduction
- Linear and Non Linear Regression
- Correlation Vs. Regression
2. TIME SERIES
- Introduction
- Forecasting Metrics
3. PROBABILITY
- Introduction
- Conditional probability
- Bayes' rule / Bayes' theorem
- Normal Distribution
4. THEORITECAL DISTRIBUTIONS
- Binomial Distribution
- Poisson Distribution:
- Normal Distribution
Goals
- Expand students' knowledge of advanced statistical methods and their application in solving complex business problems.
- Equip students with the ability to analyze data using statistical tools and techniques to draw meaningful conclusions.
- Develop the capability to apply statistical insights for informed and evidence-based business decision-making.
Prerequisites
- Basic Mathematical Skills
- Understanding of Probability Concepts
Curriculum
Check out the detailed breakdown of what’s inside the course
REGRESSION
4 Lectures
-
Introduction
06:05
06:05
-
Regression Modelling - Don't Rush It
15:09
15:09
-
Non-Linear Shapes in Regression
11:27
11:27
-
Non-Linear Shapes in Regression - Practical Examples
10:42
10:42
TIME SERIES
5 Lectures
PROBABILITY
5 Lectures
THEORITECAL DISTRIBUTIONS
5 Lectures
Skill Test
1 Lectures
Instructor Details
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