Online Graduate Certificate in Data Analytics offered by Oregon State University
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Online Graduate Certificate in Data Analytics at OSU Overview
Online Graduate Certificate in Data Analytics
at OSU
Gain a comprehensive overview of Data Analytics
Duration | 1 year |
Total fee | ₹10,080 |
Mode of learning | Online |
Official Website | Go to Website |
Course Level | PG Certificate |
Online Graduate Certificate in Data Analytics at OSU Highlights
Online Graduate Certificate in Data Analytics
at OSU
- This Course is offered by the Oregon State University
Online Graduate Certificate in Data Analytics at OSU Course details
Online Graduate Certificate in Data Analytics
at OSU
What are the course deliverables?
- Describe and apply the basic principles of statistical inference and commonly used statistical models, machine-learning tools, and database tools
- Select appropriate statistical and computational methods and apply analytical skills to effectively summarize, visualize, and make valid inferences from data
- Fit and evaluate simple and multivariate linear regression models and generalized linear models
- Perform appropriate analyses on time-series data and multidimensional data
- Communicate quantitative results to individuals who may not have expertise in either statistics or computer science
- Articulate principles of statistical and data ethics
More about this course
- This programme’s focus on real-world examples, case studies, and practical sessions will ensure that you build a strong foundation in business analytics and make high-output business decisions
- You will explore real data problems that are interesting and challenging as you equip yourself with the quantitative tools needed to gather, analyze and interpret data on a massive scale
Online Graduate Certificate in Data Analytics at OSU Faculty details
Online Graduate Certificate in Data Analytics
at OSU
Sharmodeep Bhattacharyya
I am an Assistant Professor in Department of Statistics, Oregon State University. Before joining Oregon State University in Spring 2015, I was a post-doctoral research scholar in Department of Statistics, University of California, Berkeley. I am also involved in projects with Life Sciences Division, Lawrence Berkeley National Laboratory. I completed my PhD in Statistics from University of California, Berkeley in 2013 under supervision of Prof. Peter J. Bickel. Before that, I completed B.Stat and M.Stat from Indian Statistical Institute, Kolkata.
Yanming Di
Di, Y. (2015), "Single-gene negative binomial regression models for RNA-Seq data with higher-order asymptotic inference," Statistics and Its Interface, 8, 405-418. [https://www.intlpress.com/site/pub/pages/journals/items/sii/content/vols/0008/0004/a001/] Mi, G. and Di, Y. (2015), "The Level of Residual Dispersion Variation and the Power of Differential Expression Tests for RNA-Seq Data," PLoS ONE, 10(4). [https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0120117] Jiang, Y., Emerson, S., Wang, L., Li, L., and Di, Y. (2014), "Family-based association test using normal approximation to gene dropping null distribution," BMC Proceedings, 8(Supp 1), S18. [https://bmcproc.biomedcentral.com/articles/10.1186/1753-6561-8-S1-S18] Di, Y., Schafer, D. W., Emerson, S. C., and Chang, J. H. (2013), "Higher order asymptotics for negative binomial regression inferences from RNA-sequencing data," Stat Appl Genet Mol Biol, 12(1), 49-70. [http://dx.doi.org/10.1515/sagmb-2012-0071] Di, Y., Schafer, D. W., Cumbie, J. S., and Chang, J. H. (2011), "The NBP Negative Binomial Model for Assessing Differential Gene Expression from RNA-Seq," Statistical Applications in Genetics and Molecular Biology, 10(1). [http://dx.doi.org/10.2202/1544-6115.1637]
Read moreOnline Graduate Certificate in Data Analytics at OSU Entry Requirements
Online Graduate Certificate in Data Analytics
at OSU
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Online Graduate Certificate in Data Analytics
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