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Job Help

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.

Job Help

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

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

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

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.

Data Science Boot Camp

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

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

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 Boot Camp

This is a semi-structured deep learning boot camp. Each week, you'll complete assigned readings from 2 deep learning books. 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 **August 30, 2024**.

Deep Learning

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

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

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

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

Quantum Computing Reading Course

In this reading course, we will cover introductory sections from industry-standard texts. The material will cover basic quantum algorithms (Grover, Quantum Counting, Quantum Phase Estimation, Shor, etc), selected advanced algorithms (for example, QAOA and other Binary Optimization techniques etc), and the fundamentals of Quantum Error Correction. I will also try to incorporate as much hands-on coding problems, with Qiskit, as possible.

There will be weekly meetings (tentatively 1-2, one-hour meetings a week). I will also hold weekly office hours on zoom.