Introduction to Data Science
Beyond Experience
Introduction to Data Science
A foundational, self-paced program that combines theory with hands-on practice, taking you from preparing and exploring data, through feature engineering, to building predictive models, discovering patterns, and evaluating results, with attention to the ethical handling of data.
About the Experience
The Introduction to Data Science program offers a foundational, self-paced learning experience that integrates theoretical knowledge with practical application. It covers essential data science concepts and methods, starting with data types and the data science project lifecycle, moving through data preparation, exploratory analysis, and feature engineering, and progressing to predictive modeling, pattern discovery, and the evaluation of results. It also addresses data science ethics and the principles of responsible data handling. The program features interactive content and practical activities designed to develop foundational skills in the field.
Experience Details
12 hours
Estimated duration
7 modules
Number of modules
26 lessons
Number of lessons
Self-paced
Learning mode
Arabic
Content language
Certificate
On completion
Learning Path
The program progresses through seven foundational modules, from the basics of data science to prediction and pattern discovery, concluding with data science ethics.
Data Science Fundamentals
3 lessons
Data Science Applications
3 lessons
Data Preparation & Preprocessing
4 lessons
Exploratory Data Analysis
5 lessons
Feature Engineering
3 lessons
Prediction & Pattern Discovery
6 lessons
Data Science Ethics
2 lessons
Skills You Will Gain
Participants will build a set of foundational data science skills through hands-on practice.
Tools & Technologies
Who It's For
✓
University students from various academic disciplines.
✓
Individuals interested in exploring data science and its foundational concepts and applications.
FAQ
Does the program require prior knowledge of data science?
No. The program is designed for beginners, introducing foundational concepts before progressing to practical applications.
Does the program require advanced programming experience?
No advanced programming experience is required. The program includes guided Python exercises designed to align with its foundational learning level.
How is the program delivered?
The program is self-paced and includes interactive learning materials, activities, and practical exercises.
Start your learning journey
Join the program and begin your journey into the fundamentals of data science and its practical applications.
