Link to Content:

The Open Source Data Science Masters

Created/Published/Taught by:

Claire Corthell

Content Found Via:

Claire Corthell

Free? Partially: Some Free Content, Some Paid

Cost Range:

$0.00 - $971.00

Tags: algorithms / big data / calculus / data mining / data science / data visualization / databases / deep learning / exploratory data analysis / graph analytics / linear algebra / machine learning / natural language processing (NLP) / neural networks / probabilistic models / python / social network analysis / statistics

Content Type: Curricula / References, Learning Guides, Etc.

Difficulty Rating:

Difficulty Rating:

“The open-source curriculum for learning Data Science. Foundational in both theory and technologies, the OSDSM breaks down the core competencies necessary for making use of data.

The Internet is Your Oyster. With Coursera, ebooks, Stack Overflow, and GitHub — all free and open — how can you afford not to take advantage of an open source education?”

This program consists of a list of courses and resources. The curriculum covers:

- Intro to Data Science
- Data Science with Open Source Tools
- Math
- Linear Algebra & Programming
- Convex Optimization
- Statistics
- Differential Equations & Calculus
- Problem Solving

- Computing
- Algorithms
- Distributed Computing Paradigms
- Databases
- Data Mining
- Machine Learning
- Probabilistic Modeling
- Deep Learning (Neural Networks)
- Social Network & Graph Analysis
- Natural Language Processing

- Data Analysis
- Big Data Analysis with Twitter
- Exploratory Data Analysis
- in Python

- Data Communication and Design
- Visualization

- Python (Learning)
- Python (Libraries)
- Data Science as a Profession
- Capstone Project

Recommended Prerequisites: "This is an introduction geared toward those with at least a minimum understanding of programming, and (perhaps obviously) an interest in the components of Data Science (like statistics and distributed computing). "

Go to Content: The Open Source Data Science Masters

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