What am I doing now?

- Websites:
 * [ELE](https://learningexecutive.com)
 * [Twin Image](http://staging.twinimagedesign.com/)
- Spring 2020 Teaching Assistant：
 * [ ITMD 361 | Fundamentals of Web Development](https://dkriegls.github.io/itmd-361-spring2020/)
 * [ ITMD 362 | Human-Computer Interaction and Web Design](https://dkriegls.github.io/itmd-362-spring2020-w/)
- Classes In Progress:
 * [ ITMD 514 | Progrmming for Data Analytics ( R/Python )](https://blackboard.iit.edu/ultra/courses/_103995_1/cl/outline) | <a href='https://s3.us-east-1.amazonaws.com/blackboard.learn.xythos.prod/585304babb2ec/5854511?response-content-disposition=inline%3B%20filename%2A%3DUTF-8%27%27ITMD514_Syllabus_Patel.pdf&response-content-type=application%2Fpdf&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20200128T173328Z&X-Amz-SignedHeaders=host&X-Amz-Expires=21600&X-Amz-Credential=AKIAIL7WQYDOOHAZJGWQ%2F20200128%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=278c660ff0bafd19d81816f53635b340d28b6ca047c885a0cce9a00b45ec6f59' target='_blank'>Syllabus</a>

- This course will introduce essential programming concepts and techniques used in analytics. 
 - Students will learn and make use of industry standard programming languages widely used in application programming for data and statistical analysis as well as other purposes. 
 - Students will understand and use various libraries for data manipulation, preparation, and analysis, 
 - and will be equipped to use the programming languages covered in real world scenarios and circumstances upon completion.

* [ITMD 521 | Big Data ( Spark / Hadoop )](https://blackboard.iit.edu/ultra/courses/_103996_1/cl/outline) | <a href='https://s3.us-east-1.amazonaws.com/blackboard.learn.xythos.prod/585304babb2ec/5903378?response-content-disposition=inline%3B%20filename%2A%3DUTF-8%27%27ITMD521-Spring-2020-V1.pdf&response-content-type=application%2Fpdf&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20200128T173538Z&X-Amz-SignedHeaders=host&X-Amz-Expires=21599&X-Amz-Credential=AKIAIL7WQYDOOHAZJGWQ%2F20200128%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=e34e57484b3d2b497b4412cc56e65c515aea40826b915f28329748ce56a8bb2b' target="_blank">Syllabus</a>

- This course covers both concepts and practical applications of distributed data paradigms. 
 - This provides a comparison between SQL and MapReduce. 
 - The course focuses on how to treat and prepare unstructured data to be used in the MapReduce framework in a parallel fashion. 
 - Students will be tasked with learning and demonstrating the MapReduce framework through implementing the Hadoop framework and associated Java technology.
 * [ITMD 526 | Data Warehousing](https://blackboard.iit.edu/ultra/courses/_103999_1/cl/outline) | <a href='https://s3.us-east-1.amazonaws.com/blackboard.learn.xythos.prod/585304babb2ec/5878781?response-content-disposition=inline%3B%20filename%2A%3DUTF-8%27%27ITMD%2520526%2520Syllabus%2520Spring%25202020.pdf&response-content-type=application%2Fpdf&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20200128T173646Z&X-Amz-SignedHeaders=host&X-Amz-Expires=21600&X-Amz-Credential=AKIAIL7WQYDOOHAZJGWQ%2F20200128%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=0e4b1752a459ff75c5be9e57feeff9a3b7bef95c4b337724bb9abbe089230e31' target="_blank">Syllabus</a>

- This course will introduce the student to concepts needed for successfully designing, building and implementing a data warehouse. 
 - The class will provide the technological and managerial knowledge base for data modeling approaches such as the star schema and database de-normalization issues. 
 - Topics such as loading the warehouse, performance considerations, and other concepts unique to the data warehouse environment will be discussed demonstrated in detail.

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