Timeroom: Summer 2018

Displaying 1 - 4 of 4 Results for: Title = data; Level = All Graduate
Durham   Graduate School > Analytics

DATA 800 (01) - Introduction to Applied Analytic Statistics

Intro: Applied Analytic Stats

Credits: 3.0
Term: Summer 2018 - Special Summer Session (05/21/2018 - 06/29/2018)
Class Size:   44  
CRN: 70444
This course is designed to give students a solid understanding of the experience in probability, and inferential statistics. The course provides a foundational understanding of statistical concepts and tools required for decision making in a data science, business, research or policy setting. The course uses case studies and requires extensive use of statistical software.
Instructors: Prashant Mittal
Start Date End Date Days Time Location
5/21/2018 6/29/2018 MW 9:00am - 1:00pm PCBE G59
5/21/2018 6/29/2018 F 9:00am - 10:30am PCBE G59
Durham   Graduate School > Analytics

DATA 801 (01) - Foundations of Data Analytics

Credits: 3.0
Term: Summer 2018 - Special Summer Session (05/21/2018 - 06/29/2018)
Class Size:   44  
CRN: 70441
This course introduces students to the principles and practice of analytics. The course emphasizes software tools used in the field of data science and covers topics such as data exploration and imputation, linear modeling, time series forecasting, customer segmentation, multivariate techniques and predictive modeling. Prereq: DATA 800.
Only listed majors in section: ANALYTICS, ANALYTICS CERT
Instructors: Phani Kidambi
Start Date End Date Days Time Location
5/21/2018 6/29/2018 TR 9:00am - 1:00pm PCBE G59
5/21/2018 6/29/2018 F 10:40am - 11:00am PCBE G59
Durham   Graduate School > Analytics

DATA 802 (01) - Analytical Tools and Foundations

Tools and Foundations

Credits: 3.0
Term: Summer 2018 - Special Summer Session (07/02/2018 - 08/10/2018)
Class Size:   44  
CRN: 70442
The course introduces students to the tools used in applications of data analytics programming, data management, visualization, and web analytics. Students learn how to use SAS and R programming as well as data visualization tools in a case analysis based environment. Base SAS programming focuses primarily on data extraction from various sources, web scraping, data cleaning and management. The emphasis is on making students proficient in statistical programming languages like SAS, SQL, R, and Python. Prereq: DATA 800.
Only listed majors in section: ANALYTICS, ANALYTICS CERT
Instructors: Prashant Mittal
Start Date End Date Days Time Location
7/2/2018 7/17/2018 MWF 9:00am - 1:00pm PCBE 115
7/18/2018 8/10/2018 MWF 9:00am - 1:00pm HS 130
Durham   Graduate School > Analytics

DATA 803 (01) - Introduction to Analytics Applications

Intro Analytics Applications

Credits: 3.0
Term: Summer 2018 - Special Summer Session (07/02/2018 - 08/26/2018)
Class Size:   44  
CRN: 70443
The course introduces students to various analytics applications including web analytics, Data Mining, Simulation and Text Mining. Students learn these techniques through hands-on case studies from various industries. Prereq: DATA 800.
Only listed majors in section: ANALYTICS, ANALYTICS CERT
Instructors: Prashant Mittal
Start Date End Date Days Time Location
7/2/2018 7/17/2018 TR 9:00am - 1:00pm PCBE 115
7/18/2018 8/26/2018 TR 9:00am - 1:00pm PCBE G85