Welcome to the Metis Data Science Bootcamp! You are all part of a Data Science Team now. Like any other good Data Science Team, each of you have different strengths and weaknesses. If you feel overwhelmed at any point, don't worry. Trust in the admissions; you are here because you are capable of learning quickly, and you have the grit, curiosity, and determination to become data scientists.

We make every effort to foster a welcoming, collaborative environment, so we hope that you will all work together and learn from each other.

Because of the diversity in your technical backgrounds, it's important that we tailor the bootcamp. To that end, the syllabus is living and breathing. To be able to shift pieces around and make it best meet your needs, we need your feedback. We encourage you to continually let us know about your experience.

Data Science is a very wide ranging field. No data scientist is an expert in everything, and that's why we work in teams. In some subjects, it is entirely possible that you may be the most knowledgable person in the room, including Irmak or Bo. It is also possible that you may be the least knowledgable. But by the end of the bootcamp, you will have a solid foundation. Most importantly, you'll be experienced in the entire data science process from start to finish, capable of quickly learning new tools and techniques, and you will have a portfolio of projects to showcase your skills.

Some People

Instructors

Irmak Sirer
irmak.sirer@datascopeanalytics.com

Bo Peng
bo.peng@datascopeanalytics.com

Teaching Assistants:

Paul Buffa
paul.buffa@kaplan.com

Trevor Bedrin
trevor.bedrin@kaplan.com

Reshama Shaikh reshama@thisismetis.com

Metis Staff:

Leah Nicolai, Program Manager
leah@thisismetis.com

Lillian Landrum, Talent Placement Manager
lillian@thisismetis.com

Syllabus

Here is a general, high level outline of content we will cover.

Week 1: Benson
Introduction and Set Up, Introduction to the Iterative Design Process, Exploratory Data Analysis with Python, Probability Distributions, Hypothesis Testing

Weeks 2 - 3: Luther
Version Control, Web Scraping, Data Wrangling with Pandas, Linear Regression, Model Selection, Regularization, Visualization with Matplotlib

Weeks 4 - 6: McNulty
Supervised Learning, SQL/Relational Databases, Generalized Linear Models, Javascript, Visualization with d3

Weeks 7 - 8: Fletcher
Flask/Web Apps, MongoDB/noSQL Databases, APIs, Natural Language Processing, Unsupervised Learning, Topic Modeling, Hadoop/Dealing with Big Data

Weeks 9 - 12: Kojak
Full Time Project Work

Policies in Brief

For a full description of class policies, please consult the Student Catalog.
We'll go over some policies on Day 1: BootcampPolicyHighlights.pdf (96.1 KB)

Class Structure

Projects

Lectures

Challenge Problems

Communication Tools

Careers

The job search is an integral part of the bootcamp experience (if you want a job). The entire Metis team is here to help. In particular, Lillian and Megan will be there to help you during every step of the process. They will schedule meetings with you both as a class and individually, but you can also go to them for additional guidance. We strongly encourage you to take advantage of this resource.