Topic Name

Subtopic Name

Use this slide if there is no Heading
Note - Create Content inside Red Layout

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Learning Outcome(Slide2)

6

Basics of branding and messaging

5

Target audience and segmentation

4

Different marketing channels

3

Creating value for customers

2

Understanding customer needs

1

What marketing means ?

Choose cool, soft colors instead of vibrant colors
Max 6 Points for Summary & Min 4

Topic Name-Recall(Slide3)

Hook/Story/Analogy(Slide 4)

Transition from Analogy to Technical Concept(Slide 5)

What is a

Correlation Analysis?

Correlation Analysis

Correlation measures the strength and direction of a linear relationship between two numerical variables.

In simple terms:

When one value changes, does the other also change — and how strongly?

Why it is required

Visual inspection can be misleading.

Correlation provides numerical confirmation of relationships before visualization.

For Example:

Does studying more lead to better exam scores?

In this scatter plot, every single point represents one student

Sample Data

 StudyHours Marks
2 50
4 70
6 85
10 90
import pandas as pd

df = pd.DataFrame (
{
    "StudyHours": [2, 4, 6, 10],
    "Marks": [50, 70, 85, 90]
})

Example Code

#Output

np.float64(0.9096512726248552)
df["StudyHours"].corr(df["Marks"])

How to interpret

Perfect Positive (r = 1)

Strong Positive (r ~ 0.7)

No Correlation (r = 0)

Strong Negative (r ~ -0.7)

Perfect Negative (r = -1)

This confirms the relationship before plotting.

What is a

Variability

and

Spread Analysis

 Variability and Spread Analysis

Variability describes how much values differ from each other, even if their average is the same.

Why it is required

Two datasets can have the same mean but behave very differently.

Variability explains stability vs volatility.

Example :

Sample Data

sales_df = pd.DataFrame(
{
    "Day": [1, 2, 3, 4, 5],
    "Sales": [100, 102, 98, 101, 99]
})

sales_df["Sales"].std()

Example Code

#Output

1.5811388300841898

How to interpret

Low value → consistent, stable data

High value → volatile, unpredictable data

Percent Change Analysis

Percent change measures the relative change between consecutive values.

Why it is required

Absolute numbers hide growth speed.

Percent change reveals momentum.

Core Concepts (.....Slide N-3)

Core Concepts (.....Slide N-3)

Core Concepts (.....Slide N-3)

Core Concepts (.....Slide N-3)

Core Concepts (.....Slide N-3)

Core Concepts (.....Slide N-3)

Core Concepts (.....Slide N-3)

Core Concepts (.....Slide N-3)

Core Concepts (.....Slide N-3)

Core Concepts (.....Slide N-3)

Core Concepts (.....Slide N-3)

Summary

5

Build strong branding

4

Use different marketing channels

3

Target the right audience

2

Create and communicate value

1

Understand customer needs

Choose cool, soft colors instead of vibrant colors
Max 5 Points for Summary & Min 2

Quiz

Which platform is mainly used for professional networking and B2B marketing ?

A. Facebook

B. Instagram

C. LinkedIn

D. Snapchat

Quiz-Answer

Which platform is mainly used for professional networking and B2B marketing ?

A. Facebook

B. Instagram

C. LinkedIn

D. Snapchat

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