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Nick Byrne Transcript

**Open Source Data Science Masters**
I'm currently looking for people to pair with, and work on a capstone project

Want to collaborate? Get in touch:

OpenSource Data Science Masters Curriculum
Below is a planned curriculum that I'm looking to follow. As with life, I'm not expecting it to be followed linearly necessarily. And I may swap courses in and out as interesting things arise. I do plan to take at least one element from all of the recommended themes published in the OpenSource Data Science masters. And I'm favouring online courses as it's obviously easier to stay honest with regards to progress over reading a book and claiming that you know the subject matter.

Recognised openSource curriculum

Base Introduction

Data Science Introductions - [ ] Intro to Data Science by UW / Coursera, online course - [ ] Data Science by Harvard, online course - [ ] Data Science with Open Source Tools, book - [ ] Introduction to Computer Science and Programming, by MIT OpenCourseWare *Intro to CS was listed in Python(Learning) section but felt it would be a good one to bring up front (despite having a good grasp of python)

Mathematics

  • Linear Programming (Math 407) University of Washington
  • Statistics by Princeton & Coursera
  • Differential Equations in Data Science, Python tutorial
  • Problem-Solving Heuristics "How to Solve It" by Polya, Book

Computing

Algorithms - [ ] Algorithms Design & Analysis, by Stanford and Coursera

Distributed Computing Paradigms

  • Intro to Hadoop and MapReduce by Cloudera and Udacity Note: I might swap the above course with an EdX course on Apache Spark and distributed computing

Databases

  • Introduction to Databases, by Stanford

Data Mining

  • Mining Massive Data Sets, by Stanford and Coursera

Machine Learning - Foundational & Theoretical

  • Machine Learning, by Ng Stanford and Coursera (in-progress)
  • The Elements of Statistical Learning, by Stanford

Machine Learning - Practical

  • Programming Collective Intelligence
  • Intro to scikit-learn, by SciPy2013

Probabilistic Modeling

  • Probabilistic Graphical Models, by Stanford and Coursera

Deep Learning (Neural Networks)

  • Neural Networks, by Univesity of Toronto and Coursera

Natural Language Processing

  • From Languages to Information, by Stanford
  • NLP with Python (NLKT library)

Analysis

  • Big Data Analysis with Twitter, by UC Berkeley

Data Design

*To be confirmed*

Relevant prior studies

- [X] Adelaide University, Mathematics 1011 - [X] Adelaide University, Statistics 1001 - [X] Adelaide University, Engineering Modelling and Analysis 1003 - [X] Adelaide University, Mathematics 1012 - [X] Adelaide University, Differential Equations and Statistical Methods 2010 - [X] Adelaide University, Engineering Modelling and Analysis 2010 - [X] Adelaide University, Engineering Modelling and Analysis 3009 - [X] Adelaide University, Environmental Modelling, Management and Design 4987

OpenSource Data Science Masters Capstone Project I would like to do a capstone project focused on using big data to understand workplace dynamics, and more appropriate hiring decisions. E.g. can we use big data to better understand an employees cultural fit? As I progress through the curriculum, I'll better define the capstone project.

If you'd like to pair up for the capstone, let me know