Data Science
Computer ScienceChapter 1 — Introduction to Data Science
Lesson 1.1 : What is Data Science?
Reading & Interactive Lesson
What is Data Science?
Reading Material & Notes
What is Data Science?
Data Science is an interdisciplinary field that uses scientific methods, programming, statistics, mathematics, and analytical techniques to extract useful information and knowledge from data.
Why Data Science is Important
- Helps organizations make data-driven decisions.
- Identifies patterns and trends in large datasets.
- Supports prediction and forecasting.
- Helps improve products and services.
- Automates many analytical tasks.
Major Components of Data Science
- Data Collection
- Data Cleaning
- Data Analysis
- Statistics
- Data Visualization
- Machine Learning
Example
An online shopping company can analyze customer purchase data to understand buying patterns and recommend suitable products.
Key Points
- Data Science converts raw data into useful knowledge.
- It combines multiple technical and analytical disciplines.
- Python and SQL are commonly used in data science workflows.
Course Curriculum
10 Chapters • 50 Lessons
Chapter 1 — Introduction to Data Science
5 Lessons
Chapter 2 — Data Science Lifecycle
5 Lessons
Chapter 3 — Python for Data Science
5 Lessons
Chapter 4 — NumPy and Pandas
5 Lessons
Chapter 5 — Data Cleaning and Preprocessing
5 Lessons
Chapter 6 — Exploratory Data Analysis
5 Lessons
Chapter 7 — Data Visualization
5 Lessons
Chapter 8 — Statistics for Data Science
5 Lessons
Chapter 9 — Introduction to Machine Learning
5 Lessons
Chapter 10 — Data Science Projects
5 Lessons