References
BOOKS:
Engineering Statistics, Montgomery, D.C., G.C. Runger and N.F. Hubele, 5th edition, John Wiley & Sons, Inc., 2011.
Applied Numerical Methods with MATLAB for Engineers and Scientists, Chapra, S.C., 3rd edition, 2011.
Probability Concepts in Engineering, Ang, A. and W. Tang, 2nd edition, JohnWiley & Sons, Inc.
Geographic Information Systems and Science, Longley, P., John Wiley & Sons, Inc.
Statistical Inference and Estimation, STAT 504 of PennState Eberly College of Science
COURSES:
Introduction to Computational Thinking and Data Science, MIT Open Courseware
Essential Statistics for Data Analysis using Excel, DAT222x, by Microsoft
Probability and Statistics in Data Science using Python, DSE210x, by UCSanDiegoX
Think Stats: Exploratory Data Analysis in Python, Allen B. Downey (Professor of Computer Science at the Franklin W. Olin College of Engineering in Needham, MA), 2014
Earth Analytics Python Course, Earth Lab at University of Colorado, 2019
Introduction to Numerical Methods and Matlab Programming for Engineers, by Todd Young and Martin J. Mohlenkamp, Ohio University
Inferential Statistics Walkthrough, The Learning Machine site
OTHER MATERIALS
1. MATLAB Statistics Toolbox, MathWorks Inc.
2. MATLAB Curve Fitting Toolbox, MathWorks Inc.
3. Moler, C., Numerical Computing with MATLAB
4. Math is Fun: Data
5. The Complete MATLAB Course: Beginner to Advanced
7. Coding the Matrix - Philip N. Klein.
8. Cody Coursework of MathWorks (Instructor Guide)
10. Data Analysis, Teaching Computation in the Sciences Using MATLAB