B COM Semester - III Business Statistics-I
Turn Numbers Into Insights—Master the Basics of Business Statistics.
Updated on Aug, 2025
Language - English
Finance and Accounting,Finance,
Lectures -41
Quizzes -4
Duration -5 hours
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Course Description
The course also sets the groundwork for more advanced statistical applications in future semesters, ensuring students are not only learning formulas but also when and why to use them. With real-life examples and step-by-step problem-solving, this course makes statistics approachable and relevant.
Goals
- Understand the role and importance of statistics in business decision-making
- Learn methods for organizing, summarizing, and presenting data
- Develop skills to compute and interpret measures of central tendency and dispersion
- Gain familiarity with basic probability concepts
- Prepare for more advanced courses in statistical analysis
Prerequisites
- Basic arithmetic and algebra knowledge
- No prior experience in statistics is needed
- Interest in data and logical reasoning is a plus
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
24 Lectures
-
What is Statistics?
11:57
11:57
-
Types of Data
09:49
09:49
-
What is Descriptive Statistics and Inferential Statistics?
07:00
07:00
-
Introduction
01:06
01:06
-
In-built corpora
05:45
05:45
-
External Corpora
07:30
07:30
-
Corpuses & Frequency Distribution
07:19
07:19
-
Frequency Distribution
05:57
05:57
-
WordNet
05:44
05:44
-
Wordnet with Hyponyms and Hypernyms
07:22
07:22
-
The Average according to WordNet
06:44
06:44
-
Collection, Organisation & Presentation of Data
02:56
02:56
-
Terms Used In Data Collection
01:24
01:24
-
Methods of Collecting Primary Data
08:05
08:05
-
Questionnaire
03:10
03:10
-
Important Agencies of Secondary Data
08:11
08:11
-
Types of Frequency Distribution
06:02
06:02
-
Preparation of Frequency Distribution
02:19
02:19
-
Examples on Frequency Distribution
06:54
06:54
-
Presentation of Data
21:26
21:26
-
Presentation of Data Examples
10:39
10:39
-
Quiz
-
Reading On Introduction
MEASURES OF CENTRAL TENDENCY
10 Lectures
MEASURES OF DISPERSION, SKEWNESS AND KURTOSIS
14 Lectures
CORRELATION
5 Lectures
Instructor Details
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