Data Science Bootcamp
About
The NYU Tandon Data Science Bootcamp aims to help all NYU Tandon students practice and prepare for upcoming technical interviews using related data science problems and concepts.
Students who apply and are accepted to the Bootcamp will have the opportunity to learn in a supportive, instructor-lead environment.
Students will be issued a verifiable digital credential badge via Accredible (shareable on LinkedIn and other platforms) upon successfully meeting the program’s participation criteria. This includes attending live sessions, completing weekly assignments, and actively participating in the final project.
Students will also have the opportunity to present their projects to industry professionals and compete for prizes.
Students are highly encouraged to view the Bootcamp Info Session recording to learn more about what to expect from the Bootcamp.
NYU students: view current & past Data Science Bootcamp recordings here.
Application
The applications for Bootcamp are now closed. Not to worry though, we’ll offer Bootcamp again during the fall semester. We will post the fall application link here in late August.
Subjects
- Python Fundamentals
- SQL Fundamentals
- Numpy & Pandas
- Exploratory Data Analysis
- Data Visualization
- SQL Fundamentals
- Machine Learning Fundamentals
- Perceptron
- Probability
- Naive Bayes
- Linear Regression
- Logistic Regression
- Bias - Variance Trade Off
- Gradient Descent
FAQ
How does it work?
Students are encouraged to apply for the Bootcamp, regardless of your level of technical proficiency. Space is limited, so please be sure to fill out your application as thoroughly as possible.
From there, select students will be notified of their entry into the Bootcamp and participate over the course of the virtual 9 week program.
Teaching sections happen each week to help students gain hands-on experience practicing data science concepts & questions in a supportive group environment to learn the fundamentals of answering technical interviewing questions.
All Bootcamp participants are asked to work on and submit take-home problems each week to reinforce their understanding of the subjects and concepts taught.
Instructors will be available for scheduled 30 minute coaching sessions to assist students with technical interviewing questions and practice, ask questions about Bootcamp topics covered in sessions, take-home problems, and projects.
Students selected for the Data Science Bootcamp will have the opportunity to work on a real-world project to apply the skills and knowledge gained during the Bootcamp.
Projects are required as part of student participation in the Data Science Bootcamp. Students may work with each other in groups of 3-4 students to complete the project. Project groups will conduct mid-program presentations with industry professionals in order to receive feedback and make revisions for final project presentations.
Groups will conduct their final project presentations with industry professionals during the last week of Bootcamp. Prizes will be awarded to the winning group.
Who should apply and why?
ALL Tandon students should consider applying for the Data Science Bootcamp!
Please consider the following criteria to help gauge if the program is right for you:
Coding Proficiency:
- Basic Programming Knowledge: Applicants should have taken intro to computer science or an equivalent introductory course covering topics such as variables, control flow, functions, and basic data manipulation.
- Familiarity with concepts like variables, loops, conditionals, and functions is encouraged.
- Version Control: A basic understanding of version control systems (e.g., Git) and how to manage code repositories will be beneficial for collaboration during the Bootcamp.
- Note: This Bootcamp is designed for beginner to intermediate levels, so advanced coding skills are not required. However, prior experience in data science or programming will be considered a plus.
Experience:
- Academic Background: The Bootcamp is open to all Tandon students.
- No Prior Data Science Experience Required: While prior experience in data science is not necessary, candidates with some exposure to data analysis, statistics, or related fields will be helpful.
Commitment and Availability:
- Willingness to dedicate the required time and effort to participate in the Bootcamp sessions and perform necessary individual/group work as part of the program.
- Ability and willingness to work with a group on selected projects and related criteria.
- Availability to monitor the program's Slack channel on a weekly basis.
- Enthusiasm for Learning: We seek applicants who are genuinely passionate about data science and are eager to learn. Demonstrating a positive attitude towards acquiring new skills and knowledge is crucial.
The Bootcamp is geared towards newer users of data science principles and problems and is a fantastic way to learn new skills and how to apply them to technical interviews.
Additionally, employers are increasingly looking for candidates with knowledge,understanding and practical application of data science!
After completing the Bootcamp, you will be able to add your project to your resume and distinguish yourself as a candidate when applying to internships and jobs.
Students will be issued a verifiable digital credential badge via Accredible (shareable on LinkedIn and other platforms) provided that they meet participation criteria.
Will sessions be recorded?
Yes. Sessions will be recorded and shared weekly. View current & past Data Science Bootcamp recordings here.