index

Welcome to the PHS Data Science and AI Club

About Us

The Prosper High School (PHS) Data Science and AI Club is a student-driven organization dedicated to exploring and applying the principles of data science. Our club provides students with the opportunity to dive into the world of data analytics, where they learn how to collect, process, and analyze data to make informed decisions and uncover insights.

Our Mission and Goals

At the heart of the PHS Data Science and AI Club is a commitment to education and skill-building. We offer workshops, guest lectures, and collaborative projects that cover various aspects of data science, including statistical analysis, machine learning, and data visualization.

Goals

Empower students with data literacy and analytical skills.
Encourage innovation through data-driven solutions.
Promote collaboration and networking among members.
Prepare students for success in academic and professional data science environments.

Skills Needed for Applicants

Applicants should have a basic understanding of statistics, proficiency in data analysis tools like Python or R, curiosity to learn new data science techniques, and strong communication skills.

Our Stock Market Project

Learn about our ongoing project analyzing stock market data using data science techniques and Machine Learning. Officers have the opportunity to work on our Stock Market App.

Explore Our Prototypes

So far, we have developed two prototype Python AI Models on Google Colab. The first model evaluates confidence and accuracy using statistical metrics such as R² and Linear Regression, while the second model serves as a prediction tool trained on a mean-squared error model and several other essential statistical concepts.

Explore the 1st Prototype

Explore the 2nd Prototype

Interactive Workshops

Participate in hands-on workshops where you can apply data science concepts to practical scenarios. Enhance your skills and collaborate with peers.

Basics of Data Science and AI

Introduction to Data Science and AI

Data science is a multidisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It combines aspects of statistics, computer science, and domain expertise to solve complex problems.

Core Concepts

Statistics: The foundation of data science, involving data collection, analysis, interpretation, presentation, and organization.
Machine Learning: A method of data analysis that automates analytical model building, allowing systems to learn from data, identify patterns, and make decisions with minimal human intervention.
Data Mining: The process of discovering patterns in large data sets using methods at the intersection of machine learning, statistics, and database systems.
Data Visualization: The graphical representation of data to help understand complex data sets and derive insights.

Tools and Technologies

Data scientists use a variety of tools and technologies to analyze data. Some popular tools include:

Programming Languages: Python, R
Data Manipulation: Pandas, NumPy
Data Visualization: Matplotlib, Seaborn, Tableau
Machine Learning: Scikit-Learn, TensorFlow, Keras
Big Data: Hadoop, Spark

Daily Lessons

Lesson 1: Introduction to Data Science and AI

Welcome to the world of data science! In this lesson, we will cover the Basics of Data Science and AI, including its definition, importance, and applications in various fields.

What is Data Science?
The Importance of Data Science
Applications of Data Science

Intro to Data Science - Google Slides

Lesson 2: Data Collection and Cleaning

Data collection and cleaning are critical steps in the data science process. In this lesson, we will learn how to gather data from various sources and clean it for analysis.

Data Collection Methods
Data Cleaning Techniques
Handling Missing Data

Lesson 3: Exploratory Data Analysis

Exploratory data analysis (EDA) is an essential part of the data science process. In this lesson, we will explore different techniques to analyze and visualize data.

Data Visualization Tools
Descriptive Statistics
Identifying Patterns and Trends

Lesson 4: Machine Learning Basics

Machine learning is a key component of data science. In this lesson, we will introduce the basics of machine learning, including its types, algorithms, and applications.

Types of Machine Learning
Common Machine Learning Algorithms
Applications of Machine Learning

Join the PHS Data Science and AI Club

Why Join Us?

Joining the PHS Data Science and AI Club offers numerous benefits that can significantly enhance your knowledge, skills, and career prospects in the field of data science. Here are some of the key advantages:

Opportunities to work on real-world data science projects.
Access to workshops and seminars conducted by industry professionals.
Networking with peers and professionals in the field of data science.
Enhancing your resume with valuable skills and experiences.

Membership Requirements

To become a member, you should:

Have a keen interest in data science and related fields.
Be willing to actively participate in club activities and projects.
Maintain good academic standing.

How to Apply

Fill out the form below to submit your application. We look forward to having you join our community!

Get in Touch

If you have any questions or would like to dive deeper into the activities, events, and opportunities our club offers, please don’t hesitate to get in touch with us on our Instagram or at ssaraf.research@gmail.com. Our team is dedicated to providing you with all the information you need and ensuring you have a great experience. Whether you're curious about membership benefits, upcoming events, or ways to get involved, we’re here to assist and support you every step of the way. Reach out and let us help you connect with everything our club has to offer!