Training and Professional Development
The Texas A&M Institute of Data Science develops resources for students, researchers, and faculty who wish to learn about Data Science hands-on through code and examples, or complement their foundational knowledge with computational skills.
Data science is a multidisciplinary field that utilizes statistics, data analysis, machine learning, algorithms, software, and computing systems to extract information, acquire knowledge, and gain insights into the underlying context from which data is generated. The Texas A&M Institute of Data Science (TAMIDS) workshop on Data Science Foundations and Computational Practice is a week-long intensive workshop that equips participants with diverse skills to enable their professional practice of data science.
Primers
This primer introduces the fundamentals of data science with minimal prerequisites through a set of topic presentations together with exercises in python notebooks.
This primer comprises a sequence of instructional videos and Python notebooks covering how to install Python and several integrated development environments and an introductory guide to the Python language.
This primer comprises a sequence of instructional videos and R notebooks covering how to install R and several integrated development environments on various computer systems, and an introductory guide to the R language.