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Analog Astronaut Program ( Coming Soon)

Latest News/Blog
News

Double Win for Navneeth Badri!

Congratulations to Navneeth Badri for securing 1st place at the Washington Science and Engineering Fair and winning the prestigious Lemelson Early Inventor Prize! 🏆🔬 Your

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February 20, 2025
News

Time Innovative Teacher

Time’s first-ever list of Innovative Teachers is out. I’m honored to be a part of this group www.time.com/innovative-teachers View Article

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February 13, 2025
Blog

The Interdisciplinary Nature of STEAM

STEAM encompasses the diverse fields of Science, Technology, Engineering, Art, and Mathematics. These categories work together with interdisciplinary relationships in order to create the world

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January 7, 2024
Blog

STEAM

DRIPBL goes beyond the conventional classroom setting, challenging students to dream big, conduct research, innovate, and engage in hands-on problem/project-based learning. At its core, DRIPBL seeks to

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January 1, 2024
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Data Science and Data Analytics for Business Project

Dr. Calvin Williamson

Professor, Science and Math, State University of New York & Fashion Institute of Technology

Prof. Rajasekhar Vangapaty

Academic Advisor, Fashion Institute of Technology
State University of New York
Founding Member and President of Empowerment Skills International

Schedule: 2 days per week (Tuesday & Thursday)

 

What you’ll learn

Regression

  • Regression
  • Simple Regression
  • Multiple Regression
  • Applications
  • Conjoint Analysis

Introduction to Python

  • Google Colab Notebook
  • Variables, DataTypes
  • Lists, Strings
  • Functions

Machine Learning

  • Classification, Accuracy
  • Training, Testing
  • Decision Trees
  • Pandas, Dataframes
Register

Understanding AI and it’s proper use

Dr. Calvin Williamson

Professor, Science and Math, State University of New York & Fashion Institute of Technology

Prof. Rajasekhar Vangapaty

Academic Advisor, Fashion Institute of Technology
State University of New York
Founding Member and President of Empowerment Skills International

Schedule: 2 days per week (Monday & Wednesday)

 

What you’ll learn

Introduction to Python for Artificial Intelligence

  • Google Colab Notebook
  • Using LLM as Coding Assistant
  • Calculations
  • Variables
  • DataTypes
  • Lists
  • Dictionaries
  • Functions
  • Dataframes
  • f-Strings

Introduction to Large Language Models (LLMs)

  • LLM Examples (GPT, Claude, Gemini)
  • Completions, APIs
  • Prompting
  • Prompt Chaining
  • Roles and Personas
  • Chain of thought
  • Few-shot and zero-shot Learning
Register