Introduction to Data Science

What is Introduction to Data Science?

Introduction to Data Science means data Science uses programming, statistics and domain knowledge to extract useful insights from data.

In real programs, this topic helps in understanding data science. Learn the idea first, then type the program yourself and compare the output.

Why should you learn this?

• It is useful for understanding data science.
• It connects with connecting Python and statistics.
• It improves your ability to read, write and debug Python programs.

Important Terms

These terms are used directly in this lesson. Understand them before memorising the code.

Syntax / Basic Pattern

The simple pattern is: prepare data, apply the concept, then show the result.

import pandas as pd
df = pd.DataFrame({"Product": ["A", "B", "C"], "Sales": [120, 90, 150]})
best_product = df.loc[df["Sales"].idxmax()]
print("Best product:", best_product["Product"])

Complete Example Program

import pandas as pd

df = pd.DataFrame({"Product": ["A", "B", "C"], "Sales": [120, 90, 150]})

best_product = df.loc[df["Sales"].idxmax()]
print("Best product:", best_product["Product"])

Expected Output

Program Explanation

• import pandas as pd imports ready-made features from a module/library.
• df = pd.DataFrame({"Product": ["A", "B", "C"], "Sales": [120, 90, 150]}) stores a value in df.
• best_product = df.loc[df["Sales"].idxmax()] stores a value in best_product.
• print("Best product:", best_product["Product"]) displays information or calculated result on the screen.

Where will you use it?

• Understanding data science.
• Connecting python and statistics.
• Planning data projects.

Common Mistakes

• Analysing data before checking missing values, duplicates and data types.
• Changing original data without keeping a clean copy.
• Creating charts without title, labels or explanation.

Practice Tasks

1. Type the program in data-science-introduction.py and run it.
2. Change input values or sample data and observe the new output.
3. Create one example related to understanding data science.
4. Write 5 lines explaining the logic in your own words.

Summary

Introduction to Data Science is not a theory-only topic. You should be able to explain the meaning, write the example, run it successfully, and use it in a small practical program.