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Quantitative Applications for Data Analysis
(Winter 2017)
(Old site; new site is at https://scinet.courses)
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Description
GIT bash
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GIT bash website
Link to the Physical and Environmental Sciences PhD website
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Elective Courses for Environmental Science PhD
Python Anaconda IDE
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Anaconda Python's IDE, including jupyter notebook
R website
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The R Project for Statistical Computing: official website, where to download the R software.
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1 Description
2 Software Requirements
3 Lectures
3.1 Linux Command Line
3.2 Linux Command Line (cont.)
3.3 Intro to R
3.4 Vectors, Arrays, DataFrames
3.5 Functions
3.6 Coding Best Practices
3.7 Version Control -- GIT
3.8 Lectures 8/9: Stats I
3.9 Lecture 10/11: Stats II
3.10 File I/o Technqiues in R
3.11 Machine Learning - Regression
3.12 Lecture 14/15/16: Visualiz...
3.13 Machine Learning - Classif...
3.14 High-Performance R
3.15 Intro to Python
3.16 Python Plotting and Scripting
3.17 Numy and SciPy
3.18 Numerical integration and...
3.19 File I/O in Python
3.20 Animations, Image Manipula...
4 Recordings
4.1 Linux Command Line 1
4.2 Linux Command Line 2
4.3 Intro to R
4.4 Vectors, Arrays an DataFra...
4.5 Functions
4.6 Coding Best Practices
4.7 Version Control -- GIT
4.8 Stats I
4.9 Stats I (cont.)
4.10 Stats II
4.11 Stats II (cont.)
4.12 File I/O Technqiues in R
4.13 Machine Learning -- Regression
4.14 Visualization in R -- Basics
4.15 Visualization in R -- 2D/3...
4.16 Visualization in R -- Inte...
4.17 Machine Learning - Classif...
4.18 High-Performance R
4.19 Introduction to Python
4.20 Python Plotting and Scripting
4.21 NumPy and SciPy
4.22 Numerical Integration and ODEs
4.23 File I/O in Python
4.24 Animations, Image Manipula...
5 Assignments
5.1 Assignment 1
5.2 Assignment 2
5.3 Assignment 3
5.4 Assignment 4
5.5 Assignment 5
5.6 Assignment 6
5.7 Assignment 7
5.8 Assignment 8
5.9 Assignment 9
5.10 NETCDF/Animations and Grav...
5.11 Make-up Assignment
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