Timeroom: Spring 2022

Displaying 241 - 250 of 1213 Results for: Level = All Graduate
Manchester   Graduate School :: Analytics

DATA 800 (M1) - Introduction to Applied Analytic Statistics

Intro: Applied Analytic Stats

Credits: 3.0
Term: Spring 2022 - E-term III (01/18/2022 - 03/11/2022)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 56918
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.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Attributes: Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
1/18/2022 3/11/2022 Hours Arranged ONLINE
Durham   Graduate School :: Analytics

DATA 820 (1ON) - Programming for Data Science

Programming for Data Science

Credits: 3.0
Term: Spring 2022 - E-term III (01/18/2022 - 03/11/2022)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 53040
In this class, students will build their foundational toolbox in data science: upon completion, students will be able to use the computer from the command line; practice version control with GIT & GitHub; gain a mastery of programming in Python; data wrangling with Python and perform an exploratory data analysis (EDA) in Python. All learning objectives are achieved through active application of these techniques to real world datasets. Pre- or Coreq: DATA 800.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Only listed majors in section: ANALYT DS CERT, ANALYTICS CERT
Attributes: Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
1/18/2022 3/11/2022 Hours Arranged ONLINE
Manchester   Graduate School :: Analytics

DATA 820 (M1) - Programming for Data Science

Programming for Data Science

Credits: 3.0
Term: Spring 2022 - E-term III (01/18/2022 - 03/11/2022)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 56919
In this class, students will build their foundational toolbox in data science: upon completion, students will be able to use the computer from the command line; practice version control with GIT & GitHub; gain a mastery of programming in Python; data wrangling with Python and perform an exploratory data analysis (EDA) in Python. All learning objectives are achieved through active application of these techniques to real world datasets. Pre- or Coreq: DATA 800.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Attributes: Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
1/18/2022 3/11/2022 Hours Arranged ONLINE
Durham   Graduate School :: Analytics

DATA 821 (1ON) - Data Architecture

Data Architecture

Credits: 3.0
Term: Spring 2022 - E-term IV (03/21/2022 - 05/12/2022)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 53041
In this class, students will learn the foundations of databases and large datasets: upon completion, students will be able to explore out-of-ram datasets though traditional SQL databases and NoSQL databases. Students will also be introduced to distributed computing. All learning objectives are achieved through active application of these techniques to world datasets. Prereq: DATA 800; DATA 820.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Only listed majors in section: ANALYT DS CERT, ANALYTICS CERT
Attributes: Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
3/21/2022 5/12/2022 Hours Arranged ONLINE
Manchester   Graduate School :: Analytics

DATA 821 (M1) - Data Architecture

Data Architecture

Credits: 3.0
Term: Spring 2022 - E-term IV (03/21/2022 - 05/12/2022)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 56920
In this class, students will learn the foundations of databases and large datasets: upon completion, students will be able to explore out-of-ram datasets though traditional SQL databases and NoSQL databases. Students will also be introduced to distributed computing. All learning objectives are achieved through active application of these techniques to world datasets. Prereq: DATA 800; DATA 820.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Attributes: Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
3/21/2022 5/12/2022 Hours Arranged ONLINE
Durham   Graduate School :: Analytics

DATA 822 (1ON) - Data Mining and Predictive Modeling

Data Mining & Pred Modeling

Credits: 3.0
Term: Spring 2022 - E-term IV (03/21/2022 - 05/12/2022)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 53042
In this class, students will learn foundations of practical machine learning: upon completion, students will be able to understand and apply supervised and unsupervised learning in Python to build predictive models on real world datasets. Techniques covered include (but not limited to): preprocessing, dimensionality reduction, clustering, feature engineering and model evaluation. Models covered include: generalized linear models, tree-based models, bayesian models, support vector machines, and neural networks. All learning objectives are achieved through active application of these techniques to real world datasets. Prereq: DATA 800; DATA 820 Pre- or Coreq: DATA 821.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Mutual Exclusion : ADMN 872
Only listed majors in section: ANALYT DS CERT, ANALYTICS CERT
Attributes: Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
3/21/2022 5/12/2022 Hours Arranged ONLINE
Manchester   Graduate School :: Analytics

DATA 822 (M1) - Data Mining and Predictive Modeling

Data Mining & Pred Modeling

Credits: 3.0
Term: Spring 2022 - E-term IV (03/21/2022 - 05/12/2022)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 56921
In this class, students will learn foundations of practical machine learning: upon completion, students will be able to understand and apply supervised and unsupervised learning in Python to build predictive models on real world datasets. Techniques covered include (but not limited to): preprocessing, dimensionality reduction, clustering, feature engineering and model evaluation. Models covered include: generalized linear models, tree-based models, bayesian models, support vector machines, and neural networks. All learning objectives are achieved through active application of these techniques to real world datasets. Prereq: DATA 800; DATA 820 Pre- or Coreq: DATA 821.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Mutual Exclusion : ADMN 872
Attributes: Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
3/21/2022 5/12/2022 Hours Arranged ONLINE
Durham   Graduate School :: Analytics

DATA 897 (01) - Self Designed Analytics Thesis Lab II

Self-Designed Analytics Lab II

Credits: 3.0
Term: Spring 2022 - Full Term (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 52772
This is the second of a two course self-designed thesis sequence offered under the master's of science degree in analytics. The nature of the class is applied learning directly around a student directed analytic thesis project. The class requires competency in two areas for the successful completion of the course. Students will have completed the data collection, cleaning and management and created readable analytic files for the project of their choice in the first of the two course sequence. Students are primarily responsible to apply modern analytical tools and techniques like predictive modeling, segmentation, and network analysis etc. They are also required to write a formal 2000+ word report on the findings of the project. The report is expected to include modern data visualization synthesized with analysis results. Prereq: DATA 803.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Only listed majors in section: ANALYTICS, ANALYTICS CERT, ANALYTICS PP
Instructors: STAFF
Start Date End Date Days Time Location
1/25/2022 5/9/2022 Hours Arranged PBLANE 216

DPP 902 (1ON) - Economic Analysis for Development

Economic Analysis

Credits: 3.0
Term: Spring 2022 - E-term III (01/18/2022 - 03/11/2022)
Grade Mode: Letter Grading
Class Size:   25  
CRN: 56810
This course provides the practitioner with tools of economic analysis that are necessary for effective community development practice. Drawing upon principles of macroeconomics, the course explores how markets, property rights, political institutions, government policies, environmental conditions and cultural values interact to produce development outcomes.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Only listed majors in section: COM DEV PLC PRT, DEV PLICY PRCT
Attributes: Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
1/18/2022 3/11/2022 Hours Arranged ONLINE

DPP 905 (1ON) - Fiscal Management for Development Organizations

Fiscal Management

Credits: 3.0
Term: Spring 2022 - E-term IV (03/21/2022 - 05/12/2022)
Grade Mode: Letter Grading
Class Size:   25  
CRN: 53626
Budgeting, goal setting, financial planning and financial analysis for development organizations.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Only listed majors in section: COM DEV PLC PRT, DEV PLICY PRCT
Attributes: Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
3/21/2022 5/12/2022 Hours Arranged ONLINE