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Boot Camps, Mini-Courses, & Workshops

Click on any program below to learn more and register

Job Help

Spring 2024

Feb 2, 2024

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May 1, 2024

Job help resume reviews resume templates behavioral interviews technical interviews career coaching employer connections navigating offers

Category:

Launch & Advance, Workshops, Interview Practice/Study Groups, Job Resources, Career Advisors

Intended audience:

Those seeking employment. Whether it's an internship, part-time, or full-time role, or you are looking to advance your career.

Overview:

Workshops, study groups, resources and 1-on-1 assistance with putting together your application materials, submitting your resume, prepping for interviews, connecting with alumni/employers, and navigating your job offers.

Python Prep

Asynchronous

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Python

Category:

Explore, Prerequisite Material, Self-Directed, Mini-Course

Intended audience:

General Audience. For those with little or no experience in programming in Python who wish to learn the fundamentals before participating in our other courses.

Overview:

Our Python Prep content will help lay a good foundation in python for any of our other python related content. If you plan on participating in our data science boot camp you need to be able to do the python covered in these lectures.

Data Visualization

Asynchronous

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DataViz Data Visualization Python d3.js Tableau

Category:

Launch, Supplemental, Self-Directed, Mini-Course

Intended audience:

Anyone interested in learning data visualization that has some background python knowledge.

Overview:

Our materials touch on the following content to varying degrees:
• Plotting in Python: matplotlib, seaborn, plotly, and bokeh
• Web browser visualizations: HTML, CSS, SVG, and d3.js
• Basic Tableau
• Basic design principles

Data Science Boot Camp

Spring 2024

Feb 7, 2024

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May 1, 2024

Data Science Machine Learning Team Project Certificate Boot Camp

Category:

Launch, Core Program, Boot Camp, Projects, Certificates

Intended audience:

Graduate Students, Postdocs, PhD Alumni, Faculty, & Employees at Erdős Partner Companies

Overview:

The Erdős Institute's signature Data Science Boot Camp has been running since May 2018 thanks to the generous support of our sponsors, members, and partners. Due to its popularity, we now offer our boot camp online three times per year in two different formats: a 1-month long intensive boot camp each May and a semester long version each Spring & Fall.

UX Research Boot Camp

Spring 2024

Feb 2, 2024

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May 3, 2024

Market Research UX (User eXperience) Consumer Insights Data Science

Category:

Launch

Intended audience:

Academics (graduate students, post-docs), Industry professionals

Overview:

Welcome to the UX Research course! The lessons concentrate on research-related industry roles particularly popular among those in the social sciences, arts, and humanities: UX research and related fields, like market research and consumer insights.

There are three projects for this course. In order to receive a UX Research certificate, you must submit all 3 projects, as well as a final project summary. Details of these projects are below.

Software Engineering for Data Scientists

Asynchronous

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Data Science Software Engineering Data Engineering Docker Inference Python

Category:

Advance, Supplemental, Self-Directed, Mini-Course

Intended audience:

Graduate Students, Postdocs, Early Career Data Scientists

Overview:

The Software Engineering for Data Scientists course is meant to help data scientists write production ready code as well as gain familiarity with the tools used to make models available to their users. The core idea we will be exploring is making code robust and re-usable across a team. This course can also serve as an introduction toward ideas used in ML Ops and Data Engineering.

Deep Learning

Spring 2024

Feb 2, 2024

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May 3, 2024

deep learning neural networks artificial intelligence multi-class / multi-label classification image preprocessing recommender systems NLP transformers generative AI

Category:

Advance, Supplemental, Self-Directed, Mini-Course

Intended audience:

People who have completed the data science bootcamp before, but do not have deep learning experience

Overview:

This is a self-paced deep learning boot camp, using the FastAI book as the foundation (http://course.fast.ai). It is suggested you take 12-15 weeks to go through the material. If possible, you should meet with others to have a weekly discussion group on the material.

In order to receive a deep learning certificate, you must submit a (team-based) final project by **May 03, 2024**.

People Oriented Project Management

Spring 2024

Feb 4, 2024

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Mar 10, 2024

Leadership Project Management Interpersonal Communication Project Process Teamwork Soft Skills People Skills Team Lead Project Lead Emotional Intelligence

Category:

Advance, Supplemental, Mini-Course

Intended audience:

Any organizational member who has ambitions to lead workplace projects or whom already leads workplace projects in any sector of work. You do not need to have the title Project Manager to partake in this course, as very often organization members are tasked with projects without a Project Manager title.

Overview:

The goal with this course is to help participants gain knowledge and techniques that make leading and participating in projects more successful throughout a whole project. When we look at just the project and not the people, even the most carefully planned project can fall apart in a blink. We will examine the basic foundational concepts of project management with an emphasis on leadership, communication, best practices and people skills that will boost trust, morale, and commitment by the humans that make projects happen....successfully.

Topological Data Analysis

Spring 2024

Feb 7, 2024

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Apr 1, 2024

Topological Data Analysis Topological Machine Learning

Category:

Advance, Supplemental, Alumni-Led, Study Group

Intended audience:

Erdős Alumni

Overview:

This is a self-study group for Topological Data Analysis. We will study some parts of the textbook "Computational Topology for Data Analysis" by Tamal Krishna Dey and Yusu Wang. We plan to meet weekly and discuss the corresponding sections together. (The zoom meetings will not be recorded.) We also aim to do a project using TDA methods that we learn.

Quantum Computing

Asynchronous

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Quantum Computing Basics Quantum Circuits qiskit Multiqubits Entanglement Quantum Algorithms Quantum ML

Category:

Advance, Supplemental, Self-Directed, Mini-Course

Intended audience:

For those seeking an introduction to the basics of Quantum Computing.

Overview:

Learn about the basics of quantum computing with plenty of hands on material.
- Part 1: Introduction to quantum computing, constructing quantum circuits, and visualization of quantum simulation using qiskit
- Part 2: Multiqubits & Entanglement, Running on a real quantum computer, Quantum Algorithms
- Part 3: Quantum Machine Learning

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