Exploring the World of Data Science

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Exploring the World of Data Science

What do you already know about data science?

Learning Objective

At the end of the lesson you will be able to define data science, describe its life cycle, and explain how data scientists extract insights from data.

What Is Data Science?

Data science is the practice of collecting, managing, and analysing large datasets to uncover meaningful information and guide decision-making.

The Role of a Data Scientist

A data scientist uses algorithms, AI models, and statistical methods to process data and find patterns or trends that support business or research goals.

Key Subjects in Data Science

Technological & Analytical Skills

Mathematical Foundations

• Statistics • Calculus

• Machine Learning • Deep Learning • Data Analytics • Business Intelligence

The Data Science Life Cycle

Data science follows a structured approach: Capture, Maintain, Process, Analyse, and Communicate. Each phase transforms raw data into valuable insights.

Breakdown: Data Science Life Cycle

First Three Phases

4. Analyse: Use maths and AI to extract insights 5. Communicate: Share findings via charts, graphs, and reports

Final Two Phases

1. Capture: Gather raw data (text, images, numbers) 2. Maintain: Clean and store data 3. Process: Prepare and structure data for analysis

Presenting Data Insights

Data visualisation tools and programming languages like Python and R help data scientists turn complex results into clear, engaging reports for decision-makers.

Application of Data Science

Banking

By incorporating data science into its services and policies, banking has become more automated and independent. Data science allows banks to keep track of their data and provide the best solutions to their consumers. It has capabilities for detecting fraud, making loan recommendations, and responding to consumer queries.

Applications of Data Science

Banking

E-commerce

Health Care

Transport

Fraud Detection