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About Empower.

We visit schools to conduct short, practical workshops for students of grades 8-12. Students explore theory and learn how to apply it through interactive sessions.

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01

02

Engagement

Benefits

Explore the various benefits provided by our programme

Practical Learning

Students gain hands-on experienc eapplying theoretical knowledge.

Interactive sessions keep students actively involved.

03

Understanding

Concepts become clearer as students see their practical applications

04

 Skill Development

Enhances critical thinking and problem-solving abilities.

GEMS OUR OWN ENGLISH HIGH SCHOOL

10-03-2025

Why CS? Workshop

 
Workshop Outline

The session covered key areas in Computer Science (CS), providing insights into various fields and career opportunities.

  1. Introduction to Computer Science and Career Opportunities

    • Overview of CS as a field

    • Reasons to pursue a career in CS

  2. Software Development

    • Web and app development

    • Game development

  3. Cybersecurity

    • Cyber defense strategies

    • Ethical hacking concepts

  4. Data Science and Artificial Intelligence (AI)

    • Introduction to AI, Machine Learning (ML), and Deep Learning (DL)

    • Relationship between AI and data science

  5. Getting Started in Computer Science

    • Interactive coding games for beginners

    • Accessible online learning resources

The session provided a structured approach to understanding CS, equipping participants with foundational knowledge and guidance on how to begin their learning journey.

GEMS NMS

09-10-2024

Data Science 101 Workshop

 

Workshop Outline

The session covered key areas in Data Science, providing insights into fundamentals and practical applications.

  • Introduction to Data Science

    • Overview of data science and its real-world applications

    • Key project steps: Collection, Cleaning, Analysis, and Modeling

  • Basic Data Analysis with Python

    • Loading and inspecting data with Python libraries

    • Creating visualizations to identify patterns

  • Hands-on Example: Data Analysis

    • Step-by-step exploratory data analysis with data cleaning

    • Calculating summary statistics and deriving insights

  • Introduction to Machine Learning

    • Machine learning basics: supervised vs. unsupervised learning

    • Simple predictive model demonstration with Scikit-learn

This workshop provided an introductory session aimed at familiarizing students with the fundamentals of data science, including data analysis and machine learning.

Get in Touch

ACM-W 

Birla Institite of Technology and Science 

Dubai Campus

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  • GitHub

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