DATA SCIENCE BOOTCAMP
12 Weeks


Ivy Data Science oversees the transformation of candidates from training, through projects, and placement into fulltime employment. The first eight weeks will be theory, practical labs, and keynote speakers and the last four weeks will consist of paid consulting projects.

NYC

Starting January 23rd

SF

Starting February 27th
Early applicants get 10% discount

Boston

Starting April 10th
Early applicants get 10% discount

Tuition

USD 5,000 deposit | USD 10,000 due on the 1st day of class
Financing available – contact us for more info
Early Bird discount of 10% – Tuition Paid upfront USD 13,500
Scholarships available for highly qualified candidates

Course Details

Class meets from 9am-6pm Monday through Friday

Weeks 1-8: Lectures, Labs, Guest Speakers
Take Harvard i-Lab Experfy Certification Assessment
Weeks 9-12: Onsite or Offsite paid client work to build job experience
After Bootcamp: Job placement and support

Who Should Apply

Candidates should take this course if they have a background in the physical sciences or business experience as a software engineer and are comfortable in statistics and/or mathematics.
Candidates without a programming background will need to take our Python crash course. Email us for more details info@ivydatascience.com.

Curriculum

Week 1 – Data Science Overview

Background
Cloud computing
Databases
SQL/NoSQL
Statistics:
Frequentist vs Bayesian
Distributions
Algorithms

Week 2 – Spark, Hadoop and Flink

Hadoop
MapReduce, Yarn, Hive
Data streams
Spark 2.0
ApacheFlink
Labs

Week 3 – Julia and Python

Python
SciPy
NumPy
Pandas
Scikit-learn
Julia
Labs

Week 4 – Machine Learning

Supervised Learning:
Decision Trees
Naïve Bayesian Classifier
k-Nearest Neighbor
Support Vector Machines
Unsupervised Learning:
Clustering
PCA
Labs

Week 5 – Deep Learning I

Computer Vision Overview
GPU computing
Convolutional neural networks
Frameworks, e.g., TensorFlow
Image classification
Autonomous vehicles
TensorFlow Labs

Week 6 – Deep Learning II

Recurrent neural networks
LSTM
Natural language processing
Time series data
Neural Turing Machine
Biocomputing
TensorFlow Labs

Week 7 – Deep Learning III

Deep reinforcement learning
Gaussian Processes
Bayesian Inference
Cognitive computing
Neuromorphic computing
TensorFlow Labs

Week 8 – IoT & Visualisation

IoT Overview:
Sensor data, Hardware
Visualization Tools:
d3, Shiny
Business Reporting
Wrap up

Relocation Assistance

If you need to relocate to the bootcamp area, we will handle your relocation logistics and let you to focus on the program. Contact us for further info.