DRIPBL® Resume Workshop Registration

Unlock Your Career Potential!  Craft a Resume That Gets Noticed

Are you looking to create a resume that not only tells your story but also opens doors to new opportunities? This workshop is for you! We’re dedicated to providing a learning environment where individuals from all backgrounds and career stages can gain the tools and confidence needed to build a standout resume.

Event: DRIPBL Resume Workshop
Date: Choose Specific Date
June 8th
September 14th
October 12th
Time: 11:00 AM to 12:00 PM  Pacific Time

Invest in yourself and learn practical strategies to highlight your unique strengths. We can’t wait to see you there! 

DRIPBL Resume Workshop Registration
DRIPBL Editing & Writing Coaching Services (including Resumes!):
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Data Science and Data Analytics for Research 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