Data Science Application Form | NYC Data Science Academy

Please complete the following form to start your application to our bootcamp. This will help us learn more about you and your goals for a career in data science.

Basic
Information

Education &
Work Experience

Additional
Information

Personal Information *

First Name

Last Name

Phone Number

Country

Afghanistan

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Andorra

Angola

Antigua & Deps

Argentina

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Belize

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Chile

China

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Congo

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Costa Rica

Croatia

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Eritrea

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Ethiopia

Fiji

Finland

France

Gabon

Gambia

Georgia

Germany

Ghana

Greece

Grenada

Guatemala

Guinea

Guinea-Bissau

Guyana

Haiti

Honduras

Hungary

Iceland

India

Indonesia

Iran

Iraq

Ireland {Republic}

Israel

Italy

Ivory Coast

Jamaica

Japan

Jordan

Kazakhstan

Kenya

Kiribati

Korea North

Korea South

Kosovo

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Kyrgyzstan

Laos

Latvia

Lebanon

Lesotho

Liberia

Libya

Liechtenstein

Lithuania

Luxembourg

Macedonia

Madagascar

Malawi

Malaysia

Maldives

Mali

Malta

Marshall Islands

Mauritania

Mauritius

Mexico

Micronesia

Moldova

Monaco

Mongolia

Montenegro

Morocco

Mozambique

Myanmar, (Burma)

Namibia

Nauru

Nepal

Netherlands

New Zealand

Nicaragua

Niger

Nigeria

Norway

Oman

Pakistan

Palau

Panama

Papua New Guinea

Paraguay

Peru

Philippines

Poland

Portugal

Qatar

Romania

Russian Federation

Rwanda

St Kitts & Nevis

St Lucia

Saint Vincent & the Grenadines

Samoa

San Marino

Sao Tome & Principe

Saudi Arabia

Senegal

Serbia

Seychelles

Sierra Leone

Singapore

Slovakia

Slovenia

Solomon Islands

Somalia

South Africa

South Sudan

Spain

Sri Lanka

Sudan

Suriname

Swaziland

Sweden

Switzerland

Syria

Taiwan

Tajikistan

Tanzania

Thailand

Togo

Tonga

Trinidad & Tobago

Tunisia

Turkey

Turkmenistan

Tuvalu

Uganda

Ukraine

United Arab Emirates

United Kingdom

United States (US)

Uruguay

Uzbekistan

Vanuatu

Vatican City

Venezuela

Vietnam

Yemen

Zambia

Zimbabwe

ZipCode

Program Preference *

Program

Please Select

Data Science with Machine Learning

Data Analytics Bootcamp

Delivery Mode


Daily In-Person Learning or Live Learning in Zoom	Online Learning	Online Learning
Full-time	Full-time	Part-time
12 Weeks	16 Weeks	24 Weeks
Full Time TA Coverage	1-on-1 Mentor	1-on-1 Mentor


Daily In-Person Learning or Live Learning in Zoom	Online Learning	Online Learning
Full-time	Full-time	Part-time
12 Weeks	16 Weeks	24 Weeks
Full Time TA Coverage	1-on-1 Mentor	1-on-1 Mentor


Daily In-Person Learning or Live Learning in Zoom	Online Learning	Online Learning
Full-time	Full-time	Part-time
12 Weeks	16 Weeks	24 Weeks
Full Time TA Coverage	1-on-1 Mentor	1-on-1 Mentor

In-Person/Remote Live Instruction (Full-time)

Interactive Distance Learning (Full-time)

Interactive Distance Learning (Part-time)

Delivery Mode


Daily In-Person Learning or Live Learning in Zoom	Online Learning
30 - 40 Hours/Week	20 - 30 Hours/Week
7 Weeks	12 Weeks
Full Time TA Coverage	1-on-1 Mentor


Daily In-Person Learning or Live Learning in Zoom	Online Learning
30 - 40 Hours/Week	20 - 30 Hours/Week
7 Weeks	12 Weeks
Full Time TA Coverage	1-on-1 Mentor

In-Person/Remote Live Instruction

Interactive Distance Learning

Session

Please choose

Full-time Online Spring 2023 (Apr 3 - Jul 21)

Part-time Online Spring 2023 (Apr 3 - Sep 15)

Online Spring 2023 (Apr 3 - Jun 23)

In-Person/Remote Live Summer 2023 (Jun 5 - Aug 25)

Full-time Online Spring-mid 2023 (May 15 - Sep 11)

Part-time Online Spring-mid 2023 (May 15 - Oct 27)

Online Spring-mid 2023 (May 15 - Aug 4)

Educational Background *

Education Level

Please select

High School

Associate's

Bachelor's

Master's

Doctorate

Professional School

Name of Academic Institution Attended

Year Graduated

Please select

2022

2021

2020

2019

2018

2017

2016

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006

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1947

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1945

1944

1943

1942

1941

1940

1939

1938

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1936

1935

1934

1933

1932

1931

1930

Field of study

Please select

Accounting

Actuarial Science

Advertising

Aerospace Engineering

African Languages, Literatures, and Linguistics

African Studies

African-American Studies

Agricultural Business and Management

Agricultural Economics

Agricultural Education

Agricultural Journalism

Agricultural Mechanization

Agricultural Technology Management

Agricultural/Biological Engineering and Bioengineering

Agriculture

Agronomy and Crop Science

Air Traffic Control

American History

American Literature

American Sign Language

American Studies

Anatomy

Ancient Studies

Animal Behavior and Ethology

Animal Science

Animation and Special Effects

Anthropology

Applied Mathematics

Aquaculture

Aquatic Biology

Arabic

Archeology

Architectural Engineering

Architectural History

Architecture

Art

Art Education

Art History

Art Therapy

Artificial Intelligence and Robotics

Asian-American Studies

Astronomy

Astrophysics

Athletic Training

Atmospheric Science

Automotive Engineering

Aviation

Bakery Science

Biblical Studies

Biochemistry

Bioethics

Biology

Biomedical Engineering

Biomedical Science

Biopsychology

Biotechnology

Botany/Plant Biology

Business Administration/Management

Business Communications

Business Education

Canadian Studies

Caribbean Studies

Cell Biology

Ceramic Engineering

Ceramics

Chemical Engineering

Chemical Physics

Chemistry

Child Care

Child Development

Chinese

Chiropractic

Church Music

Cinematography and Film/Video Production

Circulation Technology

Civil Engineering

Classics

Clinical Psychology

Cognitive Psychology

Communication Disorders

Communications Studies/Speech Communication and Rhetoric

Comparative Literature

Computer Engineering

Computer Graphics

Computer Systems Analysis

Computer and Information Science

Construction Management

Counseling

Crafts

Creative Writing

Criminal Science

Criminology

Culinary Arts

Dance

Data Processing

Dental Hygiene

Developmental Psychology

Diagnostic Medical Sonography

Dietetics

Digital Communications and Media/Multimedia

Drawing

Early Childhood Education

East Asian Studies

East European Studies

Ecology

Economics

Education

Education Administration

Education of the Deaf

Educational Psychology

Electrical Engineering

Elementary Education

Engineering Mechanics

Engineering Physics

English

English Composition

English Literature

Entomology

Entrepreneurship

Environmental Design/Architecture

Environmental Science

Environmental/Environmental Health Engineering

Epidemiology

Equine Studies

Ethnic Studies

European History

Experimental Pathology

Experimental Psychology

Fashion Design

Fashion Merchandising

Feed Science

Fiber, Textiles, and Weaving Arts

Film

Finance

Floriculture

Food Science

Forensic Science

Forestry

French

Furniture Design

Game Design

Gay and Lesbian Studies

Genetics

Geography

Geological Engineering

Geology

Geophysics

German

Gerontology

Government

Graphic Design

Health Administration

Hebrew

Hispanic-American, Puerto Rican, and Chicano Studies

Historic Preservation

History

Home Economics

Horticulture

Hospitality

Human Development

Human Resources Management

Illustration

Industrial Design

Industrial Engineering

Industrial Management

Industrial Psychology

Information Technology

Interior Architecture

Interior Design

International Agriculture

International Business

International Relations

International Studies

Islamic Studies

Italian

Japanese

Jazz Studies

Jewelry and Metalsmithing

Jewish Studies

Journalism

Kinesiology

Korean

Land Use Planning and Management

Landscape Architecture

Landscape Horticulture

Latin American Studies

Library Science

Linguistics

Logistics Management

Management Information Systems

Managerial Economics

Marine Biology

Marine Science

Marketing

Mass Communication

Massage Therapy

Materials Science

Mathematics

Mechanical Engineering

Medical Technology

Medieval and Renaissance Studies

Mental Health Services

Merchandising and Buying Operations

Metallurgical Engineering

Microbiology

Middle Eastern Studies

Military Science

Mineral Engineering

Missions

Modern Greek

Molecular Biology

Molecular Genetics

Mortuary Science

Museum Studies

Music

Music Education

Music History

Music Management

Music Therapy

Musical Theater

Native American Studies

Natural Resources Conservation

Naval Architecture

Neurobiology

Neuroscience

Nuclear Engineering

Nursing

Nutrition

Occupational Therapy

Ocean Engineering

Oceanography

Operations Management

Organizational Behavior Studies

Painting

Paleontology

Pastoral Studies

Peace Studies

Petroleum Engineering

Pharmacology

Pharmacy

Philosophy

Photography

Photojournalism

Physical Education

Physical Therapy

Physician Assistant

Physics

Physiological Psychology

Piano

Planetary Science

Plant Pathology

Playwriting and Screenwriting

Political Communication

Political Science

Portuguese

Pre-Dentistry

Pre-Law

Pre-Medicine

Pre-Optometry

Pre-Seminary

Pre-Veterinary Medicine

Printmaking

Psychology

Public Administration

Public Health

Public Policy Analysis

Public Relations

Radio and Television

Radiologic Technology

Range Science and Management

Real Estate

Recording Arts Technology

Recreation Management

Rehabilitation Services

Religious Studies

Respiratory Therapy

Risk Management

Rural Sociology

Russian

Scandinavian Studies

Sculpture

Slavic Languages and Literatures

Social Psychology

Social Work

Sociology

Soil Science

Sound Engineering

South Asian Studies

Southeast Asia Studies

Spanish

Special Education

Speech Pathology

Sport and Leisure Studies

Sports Management

Statistics

Surveying

Sustainable Resource Management

Teacher Education

Teaching English as a Second Language

Technical Writing

Technology Education

Textile Engineering

Theatre

Theology

Tourism

Toxicology

Turfgrass Science

Urban Planning

Urban Studies

Visual Communication

Voice

Web Design

Webmaster and Web Management

Welding Engineering

Wildlife Management

Women's Studies

Youth Ministries

Zoology

Other

Work Experience *

Current Employment Status

Please select

Employed

Unemployed

Self-Employed

Current or former employer

Job Title

Years Of Working Experience

Please select

1-2 years

3-5 years

6-10 years

10 years or more

Share Your Professional Portfolio (Optional But Highly Recommended)

Resume Upload

Drop File Here or Select Files

File type should be .pdf or .docx and must not exceed 5mb

.pdf

Success!

LinkedIn URL

Github

Experience with Data

Tell us how familiar you are with python

Please select

No experience - I don't know Python at all.

Beginner - I have taken some online Python courses.

Intermediate - I have done some data analysis in Python using packages like numpy, pandas, matplotlib.

Expert - I am fluent in Python and with tools such as numpy and pandas, I've created my own classes/modules/packages, and I have experience with machine learning in sklearn.

Tell us how familiar you are with R

Please select

No experience - I don't know R at all.

Beginner - I have taken some online R courses.

Intermediate - I have done some data analysis in R using packages like dplyr, tidyr, ggplot2.

Expert - I am fluent in R and with tools such as dplyr and ggplot2, I've created or collaborated on R libraries, and I have experience with machine learning in various libraries.

Tell us more about your background in working with data (tutorials, books, courses, etc).

Find the sum of all numbers below 1000 that are divisible by 3 or 5. (please show code and answer)

Additional Information

Why NYC Data Science Academy?

If accepted, what do you hope to achieve from the program

Please select

Begin my professional career

Change my career

Advance in my current career

Rejoin the workforce

Start a company

Other

How did you hear about us?

Please select

Online Search

Social Media

Switchup

CourseReport

Word of Mouth

Student Referral

Employee Referral

Meetup and Other Events

University Flyer or Newsletter

Gary’s Guide

Built in NYC

Other

Please input a referral code if you have been referred to us by anyone. Type only lowercase characters which may sometimes come with numbers.

Referral Code

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NYC Data Science Academy

NYC Data Science Academy’s mission is to provide accelerated data science training programs that prepare people for employment as data science professionals and to offer continuing education courses for professional development.