MIM Data Science Bootcamp New York
Designed and built by MIT, Carnegie Mellon University, and University of Waterloo graduates to meet the needs of the most sophisticated and demanding tech and Fintech employers
During this 3-month intensive bootcamp, you will learn to apply latest techniques needed for the analysis of Big Data. You will also learn Machine Learning models and their applications in the real world. A preparation phase of three weeks is necessary to facilitate participation in the program.
All students must complete a six-month internship upon completion of the bootcamp to acquire professional experience and apply the techniques learned during the program,. International students receive a J1* visa, which allows them to be paid during the internship *MIM is a J1 visa sponsor for academic programs and internships
Start Dates
Fall : September 27, 2021
Winter: January 11, 2022
Spring: April 12, 2022
Summer: July 12, 2022
Entrance Requirements
Associate
/Bachelor Degree
* TOEFL PBT450/
IBT45 or equivalent
Tuition Fees
$14,000
Internship upon completion of the program
Program Schedule
Prep. Phase
80 hours of Programming in Python, probability and statistics
Week 1 Week 2 Week 3 Week 4
Data Science Fundamentals
- Python for Data Science
- Introduction to Big Data analysis: data preparation and wrangling; data exploration objectives and methods: structure and unstructured data
- Project: Big Data analysis using Python
Week 5 Week 6 Week 7 Week 8
Data Science Models
- Introduction to Machine Learning: supervised and unsupervised learning
- Supervised Machine Learning: Support Vector Machines,
- k-Nearest Neighbor, ensemble Learning and Random Forest
- Model Training
- Project: Implementation of Supervised Machine Learning Model
Week9 Week10 Week11 Week 12
Data Science
Advanced Topics and Application
- Supervised Machine Learning Algorithms: PCA
- Machine Learning Neural Networks, Deep Learning Nets, and Random Forest
- Project: Implementation of Unsupervised Machine Learning Model
