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[http://catalog.unt.edu/preview_course_nopop.php?catoid=22&coid=87512 Introduction to Data Science.] This course is taught in R and is project based meaning that there are no tests. It covers the entirety of data science including how to gather, parse, analyze, graph, and interpret data. As of Fall 2020, this class was instructed by Dr. Lingzi Hong.
 
[http://catalog.unt.edu/preview_course_nopop.php?catoid=22&coid=87512 Introduction to Data Science.] This course is taught in R and is project based meaning that there are no tests. It covers the entirety of data science including how to gather, parse, analyze, graph, and interpret data. As of Fall 2020, this class was instructed by Dr. Lingzi Hong.
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=== LTEC 3000 ===
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==== LTEC 3000 ====
 
Learning Technologies in STEM. This class is largely composed of busy work. Not an easy A despite being composed of busy work. This is a course to avoid.
 
Learning Technologies in STEM. This class is largely composed of busy work. Not an easy A despite being composed of busy work. This is a course to avoid.
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=== BCIS 3620/3690 ===
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==== BCIS 3620/3690 ====
 
Mainframe Concepts/Advanced Mainframe Concepts. This class teaches IBM Mainframe, COBOL, JCL, etc. The content is alright but the professors (Guynes & Hardy) tell amazing stories. Unfortunately, Guynes is retiring after Spring 2021.
 
Mainframe Concepts/Advanced Mainframe Concepts. This class teaches IBM Mainframe, COBOL, JCL, etc. The content is alright but the professors (Guynes & Hardy) tell amazing stories. Unfortunately, Guynes is retiring after Spring 2021.
  

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