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Using Data for Geographic Mapping and Forecasting in SAS Visual Analytics
by Nicole Ball- 4.8
Approx. 5 hours to complete
In this course, you learn about the data structure needed for geographic mapping and forecasting, how to use SAS Data Studio to restructure data for analysis, and how to create geo maps and forecasts in SAS Visual Analytics. Restructuring Data for Geographic Mapping Introduction to Restructuring Data for Geographic Mapping Restructuring Data for Geographic Mapping Review...
Data Science in Real Life
by Brian Caffo, PhD , Jeff Leek, PhD , Roger D. Peng, PhD- 4.4
Approx. 7 hours to complete
This is a focused course designed to rapidly get you up to speed on doing data science in real life. Describe possible pitfalls when pulling / assembling data and learn solutions for managing data pulls. The course will be taught at a conceptual level for active managers of data scientists and statisticians....
Geospatial and Environmental Analysis
by Nick Santos- 4.8
Approx. 14 hours to complete
Through all four weeks of this course, we'll work through a project together - something unique to this course - from project conception, through data retrieval, initial data management and processing, and finally to our analysis products. Course Overview & Geospatial Analysis Develop and analyze data for the geospatial analysis project...
Network Analysis in Systems Biology
by Avi Ma’ayan, PhD- 4.5
Approx. 30 hours to complete
The course covers methods to process raw data from genome-wide mRNA expression studies (microarrays and RNA-seq) including data normalization, differential expression, clustering, enrichment analysis and network construction. The ultimate aim of the course is to enable participants to utilize the methods presented in this course for analyzing their own data for their own projects....
Statistics with R Capstone
by Merlise A Clyde , Colin Rundel , David Banks , Mine Çetinkaya-Rundel- 4.6
Approx. 6 hours to complete
The capstone project will be an analysis using R that answers a specific scientific/business question provided by the course team. The analysis will implement both frequentist and Bayesian techniques and discuss in context of the data how these two approaches are similar and different, and what these differences mean for conclusions that can be drawn from the data....
Framework for Data Collection and Analysis
by Frauke Kreuter, Ph.D. , Mariel Leonard- 4.2
Approx. 10 hours to complete
This course will provide you with an overview over existing data products and a good understanding of the data collection landscape. This course is suitable for beginners as well as those that know about one particular data source, but not others, and are looking for a general framework to evaluate data products....
Data Analysis and Reporting in SAS Visual Analytics
by Nicole Ball- 4.8
Approx. 9 hours to complete
In this course, you learn how to use SAS Visual Analytics on SAS Viya to modify data for analysis, perform data discovery and analysis, and create interactive reports. Course Overview Tips and Tricks: Using SAS Viya for Learners with This Course (Review) SAS Data Studio Versus SAS Visual Analytics Demo: Adding Data Analysis Practice: Adding Data Analysis...
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Statistics & Applied Data Science - Business Data Analysis
by Mahmoud Ali- 3.8
9 hours on-demand video
Data Science Statistics : Data Science from Scratch for Beginners : Data Analysis Techniques, Method Course : Analytics 270+ video lectures include real life practical projects and examples for people need to learn statistics for Machine learning and Data Analysis . Do you like jobs in data analysis and data science ?...
$12.99
Experimental Design Basics
by Douglas C. Montgomery- 4.7
Approx. 13 hours to complete
This is a basic course in designing experiments and analyzing the resulting data. The course objective is to learn how to plan, design and conduct experiments efficiently and effectively, and analyze the resulting data to obtain objective conclusions. Course Introduction Models for the Data Residual Analysis for the Vascular Graft Example...
Power and Sample Size for Multilevel and Longitudinal Study Designs
by Albert Ritzhaupt- 4.4
Approx. 24 hours to complete
The power and sample size methods and software taught in this course can be used for any health-related, or more generally, social science-related (e. The goal of the course is to teach and disseminate methods for accurate sample size choice, and ultimately, the creation of a power/sample size analysis for a relevant research study in your professional context....