Data Science
Computer ScienceChapter 1 — Introduction to Data Science
Lesson 1.2 : Data Science vs Data Analytics
Reading & Interactive Lesson
Data Science vs Data Analytics
Reading Material & Notes
Data Science vs Data Analytics
Data Science and Data Analytics are closely related fields, but they focus on different aspects of working with data.
| Feature | Data Science | Data Analytics |
|---|---|---|
| Focus | Finding knowledge and building predictive solutions | Analyzing existing data |
| Methods | Statistics, ML, programming and AI | Statistics, reporting and visualization |
| Prediction | Commonly used | May be used depending on the problem |
| Typical Output | Models, predictions and intelligent systems | Reports, dashboards and insights |
Relationship
Data Analytics can be considered an important part of the broader Data Science workflow. Both fields help organizations understand and use data effectively.
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