Introduction to business statistics – Learn & Earn

About Course

This course will help you to unlock the power of data and transform your business decisions with our comprehensive Business Statistics course. Whether you’re a beginner or looking to refresh your skills, this course provides the essential foundation you need to navigate the world of data and statistics.

In this course, you’ll explore key concepts and practical techniques to understand and analyze data effectively. We’ll start by breaking down basic terms and terminologies, ensuring you’re comfortable with the language of statistics. You’ll then learn about different sampling techniques and data collection methods, vital for gathering accurate and relevant data.

The course also covers tabulation methods to organize your data effectively, followed by an in-depth look at measures of central tendency (like mean, median, and mode) and measures of dispersion (such as range, variance, and standard deviation).

Understand Key Statistical Terminology: Gain confidence with fundamental statistical terms and concepts, ensuring you can communicate effectively about data in a business context.
Master Sampling Techniques: Learn different methods for selecting representative samples, including random, stratified, and systematic sampling, to ensure accurate data collection and analysis.
Collect Data Efficiently: Discover various data collection methods and best practices, including surveys, interviews, and observational studies, to gather high-quality, reliable data.
Organize Data with Ease: Master tabulation techniques to organize and present your data in a clear, concise manner, making it easier to interpret and analyze.
Analyze Central Tendencies: Calculate and interpret measures like mean, median, and mode, allowing you to summarize and understand the central point of your data.
Measure Data Variability: Explore measures of dispersion such as range, variance, and standard deviation, giving you insights into the spread and consistency of your data.

Course Content

Introduction

Brief Introduction about Business Statistics

12:45
Basic Terms

13:33
Sampling Techniques

04:15
Simple Random Sampling

02:05
Systematic Random Sampling

04:32
Stratified Random Sampling

07:45
Cluster Sampling

05:32
Non-probability Sampling Techniques

11:00
Types of Variables – Part 1

09:48
Types of Variables – Part 2

12:03
Levels of Measurement

18:17
Types of Data

08:25
Data Collection Methods

12:13
Classification of Data

10:37
Frequency Distribution Table

12:22
Simple Bar Chart – Example 1

08:46
Simple Bar Chart – Example 2

04:40
Stacked Bar Chart

09:14
Cluster Bar Chart – Example 1

09:05
Cluster Bar Chart – Example 2

08:45
Pie Chart

11:01
Discrete Frequency Table – Example 1

08:02
Discrete Frequency Table – Example 2

03:45
Grouped Frequency Table – Introduction

16:10
Grouped Frequency Table – Example 1

12:05
Relative & Cumulative Frequency Table

10:25
Relative & Cumulative Frequency Table – Example

08:48
Histogram – Example 1

11:48
Histogram – Example 2

05:25
Frequency Polygon – Example 1

07:41
Frequency Polygon – Example 2

05:28
OGIVE – Example

10:05
Measures of Central Tendency

09:19
Arithmetic Mean – Example 1

04:16
Arithmetic Mean – Examples

04:11
Mean for Discrete Grouped Data

07:30
Mean for Continuous Grouped Data

08:33
Weighted Mean – Example 1

12:32
Weighted Mean – Example 2

07:48
Median for Ungrouped Data

09:28
Median for Grouped Data

11:21
Mode

07:07
Mode for Grouped Data

04:02
Range – Examples

04:29
Range for Grouped Data

07:43
Variance & Standard Deviation – Introduction

09:21
Variance & Standard Deviation – Example 1

07:16
Variance & Standard Deviation for Grouped Data – Example 1

11:37
Variance & Standard Deviation for grouped Data – Example 2

09:58
Variance & Standard Deviation for Grouped Data – Example 3

12:03
Coefficient of Variation – Examples

11:35
Quartiles and Interquartile Range – Part A

06:05
Quartiles and Interquartile Range – Examples

06:41
Box & Whisker Plot

11:02
Geometric Mean

05:13

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About Course

What Will You Learn?

Course Content

Introduction

Brief Introduction about Business Statistics

Basic Terms

Sampling Techniques

Simple Random Sampling

Systematic Random Sampling

Stratified Random Sampling

Cluster Sampling

Non-probability Sampling Techniques

Types of Variables – Part 1

Types of Variables – Part 2

Levels of Measurement

Types of Data

Data Collection Methods

Classification of Data

Frequency Distribution Table

Simple Bar Chart – Example 1

Simple Bar Chart – Example 2

Stacked Bar Chart

Cluster Bar Chart – Example 1

Cluster Bar Chart – Example 2

Pie Chart

Discrete Frequency Table – Example 1

Discrete Frequency Table – Example 2

Grouped Frequency Table – Introduction

Grouped Frequency Table – Example 1

Relative & Cumulative Frequency Table

Relative & Cumulative Frequency Table – Example

Histogram – Example 1

Histogram – Example 2

Frequency Polygon – Example 1

Frequency Polygon – Example 2

OGIVE – Example

Measures of Central Tendency

Arithmetic Mean – Example 1

Arithmetic Mean – Examples

Mean for Discrete Grouped Data

Mean for Continuous Grouped Data

Weighted Mean – Example 1

Weighted Mean – Example 2

Median for Ungrouped Data

Median for Grouped Data

Mode

Mode for Grouped Data

Range – Examples

Range for Grouped Data

Variance & Standard Deviation – Introduction

Variance & Standard Deviation – Example 1

Variance & Standard Deviation for Grouped Data – Example 1

Variance & Standard Deviation for grouped Data – Example 2

Variance & Standard Deviation for Grouped Data – Example 3

Coefficient of Variation – Examples

Quartiles and Interquartile Range – Part A

Quartiles and Interquartile Range – Examples

Box & Whisker Plot

Geometric Mean

Student Ratings & Reviews

Support