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We suggest that you complete this Python Prep course content before participating in the Data Science Boot Camp. Content is from F22 and is currently being updated.

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

This workshop series concentrates on research-related industry roles particularly popular among those in the social sciences and humanities: Market Research, UX research, and Consumer Insights. Each workshop will be 2 hours in duration and will include lectures, breakout sessions, and group projects.

Workshops:
- April 6: Market Research - Market trends, competitive analysis, business deliverables
- April 13: User Experience - User research, interviewing, product design
- April 20: Consumer Insights - Attitudinal research, behavioral research, statistical analysis

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 twice per year in two different formats: a 1-month long intensive boot camp each May and a semester long version each Fall.

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.

This workshop is designed for Data Scientists seeking to advance in their individual contributor roles, and also for those looking for promotions to lead data science teams.

The session will employ a pragmatic use case to equip participants to confidently leverage business acumen to create strong ‘storytelling’ narratives and business cases. Data analytics output derived from a model will be utilized.

February 17th: 10am-1pm ET on Zoom

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

Monthly workshops designed to get you ready to apply for internships and full-time positions in any industry. Meets online the second Wednesday of each month at 12pm ET.

Workshops are paired with regular study groups and behavioral interview resources and practice questions to help you progress.

Summary of Monthly Topics
- Feb: Application materials: Resumes & LinkedIn
- Mar: Informational Interviews & Networking
- Apr: Behavioral Interviews

Monthly workshops designed to help you understand the various types of data science roles and technical interview processes. Meets online on the third Wednesday of each month at 12pm ET.

Workshops are paired with weekly study groups and technical interview resources and practice problems to help you progress.

We strongly recommend giving yourself at least 3 months to prepare for technical interviews.

Summary of Monthly Topics
- Feb: Tech interview orientation
- Mar: White Boarding & Paired Coding
- Apr: Data Challenges & Case Studies

Fireside Chats are a way of having our Erdős community come together. We will have informal discussions every month about a different topic, where people can share stories, ask questions, and we can all support each other. Together, we are stronger!