Professional Development Courses
Immerse yourself in accelerated learning and launch your data science career through
This bootcamp is designed to equip you with the dominant skills and tools for data analytics and machine learning.
NYC Data Science Academy offers different options of in-person immersive learning and fully online or interactive distance learning to meet individual student needs. Although the bootcamp curricular contents are the same, students can choose a mode of instruction that best suits their needs and their unique learning style.
In the 400-hour Data Science with Machine Learning bootcamp, students will take seven modules as listed below and learn the major tools and methods for performing data analyses and apply them to various projects typically found in the data science field. At the foundation level of the program, students learn to employ R and Python for data analytics projects and for presenting research results effectively. Beyond the foundational level, students study machine learning with Python and carry out research projects that involve advanced data science methods and strategies. The program also exposes students to concepts and practices in deep learning and big data. We cover packages such as NumPy, SciPy, Pandas, Scikit-learn, Keras, TensorFlow, SpaCy, but not limited to these pacakges:
|Data Science with Machine Learning||Data Science with Machine Learning - Online||Data Analytics Bootcamp - Online||Bundled Professional Development Courses||Professional Development Courses|
|Full-time / Part-time
Only on Weekdays
|16 Weeks (Full-time)
24 Weeks (Part-time)
|Combination of professional development courses||4 - 6 weeks
Weekdays or Weekends
|Cost||$17600||$17600||$9995||Starts at $4500||Starts at $1500|
We suggest applicants to have a master’s degrees or Ph.D.s in Science, Technology, Engineering or Mathematics, or equivalent experience. Bachelor's or non-STEM degrees will also be considered.
After reviewing your application, our team will invite you to schedule a video interview. The interview serves as a chance to connect and better understand your background and career goals.
You will be asked to complete a series of technical questions that will assess your thought process and technical knowledge. You may use any programming language to complete the assessment.
9:30 AM - 12:30 PM
The lectures are conducted in modern classrooms equipped with live web-streaming technology. Students have 24/7 building access, free high-speed internet, pantry with breakfast cereal, tea, coffee, granola bars, fresh fruits and more. The detailed daily schedule is shared with students during the orientation..
Interested applicants are encouraged to submit their bootcamp application as early as possible as the Academy has a competitive process due to the number of applications that are received and limited seats that are offered.
The application process consists of three steps:
Learn online in real-time from expert instructors and dedicated mentors alongside their peers through Zoom meetings.
Our online community ensures that students always feel supported. The bootcamp involves group projects, peer programming, and online communication with their classmates and instructors. We aim to foster a community where every student can learn from each other’s codes and build the skills needed in a collaborative environment.
Students can access their coursework, get project feedback from instructors and mentors, and interact with fellow students for a truly embedded learning experience. The platform is designed to foster collaboration between students, instructors, and mentors. With our responsive interface that works on any device, students are able to access their learning materials anytime, anywhere.
The online meeting portal allows students to schedule meetings with our dedicated mentors to discuss coursework, projects, and career advice. These mentors are professional data scientists working at global companies including PriceWaterhouseCoopers, Unilever, Vanguard, and National Grid.