NYC Data Science Academy Bootcamp, Feb 2 – Apr 24
Learn from one of NYC top Data Science Instructors and receive mentorship from Chief Data Scientists, ending with interview prep and job placement at top firms in New York and the Tri-State area.
Feb 2 - Apr 24, New York, NY
full-time 12-WEEK DATA SCIENCE training
LEARN R, PYTHON & HADOOP WITHIN AN IMMERSIVE JOB PLACEMENT
Ideal applicants: Masters or PhD degree in Science, Technology, Engineering or Math or equivalent experience of quantitative science or programming.
Applications: accepted online on a rolling basis: nycdatascience.com/bootcamp/
Tuition: $16,000 with a $4,000 rebate to graduates who accept a position with one of our Hiring Partners upon graduation (Some scholarships and financial aid available: email@example.com)
See our website for more Information about Online Information Sessions and Open House Meetup Events: nycdatascience.com/bootcamp/
Become a data scientist and learn the practical skills needed for your career while building awesome solutions for real business and industry problems.
Once the foundation of learning has been set, students work on a 2-week, hands-on project with the instructor and mentored by top Chief Data Scientists in NYC. During the final week, students will have the opportunity to interview 300+ hiring companies in New York and the Tri State area.
Week 1: Data Science with R: Data Analysis Part I: Basic programming elements, primary statistical methods, Source Code Control with Git, Github
Week 2: Data Science with R: Data Analysis Part II: Data Manipulation, Data Visualization
Week 3: Data Science with R: Machine Learning Part I: Introduction to Data mining, Performance Measures and Dimension Reduction, KNN and Naive Bayes models
Week 4: Data Science with R: Machine Learning Part II: Tree models and SVMs, Association Rule and More Models, Data Visualization with D3.js
Week 5: Most Popular and Useful R Toolkits: Knitr, Shiny, rCharts, QuantMod, Slidify
Week 6: Data Science with Python: Data Analysis Part I: Python Programming, Computational Statistics, Data Analysis with Pandas, Getting Data from the Web, Introduction to Machine Learning
Week 7: Data Science with Python: Machine Learning: Introduction, Regression and Classification, Resampling and Model Selection, Support Vector Machines and Decision Trees, Unsupervised Learning
Week 8: Big Data with Hadoop: Data Engineering Professionals
Week 9: Big Data with Hadoop: 5 Real World Applications
Weeks 10-11: Capstone Project
Week 12: Interview Preparation, Job Fair & On-site Interviews
Students have ongoing opportunities to showcase their work and gain visibility within a large community of hiring organizations via NYC Data Science Meetups.
Top Stories Past 30 Days