Search result for Analysis of qualitative data Online Courses & Certifications
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Marketing analytics: Know your customers
by Ray Welling- 4.7
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Approx. 20 hours to complete
Are your customers at the centre of your organisation’s strategy? An understanding of marketing analytics, the core component of this course, is crucial to serving your customers well. Types of customer data 1 Which types of data are relevant? Explore the types of customer data that are collected, both by traditional and digital methods...
SQL & Power BI: Your Data Analytics & Visualisation Journey
by Data Civilisation- 0.0
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8.5 hours on-demand video
Learn the core fundamental concepts of data analysis The final section of this course covers Microsoft’s intuitive ‘Power BI’ data visualisation tool. Understanding the concepts and importance of data visualisation Intermediate SQL - understanding the importance of subquerying, views, and variables in SQL data analysis as well as the importance of stored procedures...
$12.99
Materials Data Sciences and Informatics
by Dr. Surya Kalidindi- 4.5
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Approx. 9 hours to complete
More specifically, it is argued that modern data sciences (including advanced statistics, dimensionality reduction, and formulation of metamodels) and innovative cyberinfrastructure tools (including integration platforms, databases, and customized tools for enhancement of collaborations among cross-disciplinary team members) are likely to play a critical and pivotal role in addressing the above challenges. Main Components of Data Science...
Plant Bioinformatics
by Nicholas James Provart- 4.8
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Approx. 14 hours to complete
These data sets in turn allow us to generate hypotheses at the click of a mouse. Using Gene Ontology enrichment analysis and pathway visualization tools can help us make sense of our own 'omics experiments and answer the question "what processes/pathways are being perturbed in our mutant of interest? Module 5: GO ENRICHMENT ANALYSIS AND PATHWAY VIZUALIZATION....
Introduction to R Programming for Data Science
by Yan Luo- 4.8
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Approx. 10 hours to complete
This course introduces you to the basics of the R language such as data types, techniques for manipulation, and how to implement fundamental programming tasks. You will begin the process of understanding common data structures, programming fundamentals and how to manipulate data all with the help of the R programming language....
Statistics for Genomic Data Science
by Jeff Leek, PhD- 4.2
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Approx. 9 hours to complete
An introduction to the statistics behind the most popular genomic data science projects. This is the sixth course in the Genomic Big Data Science Specialization from Johns Hopkins University. Exploratory Analysis (9:21) Exploratory Analysis in R Part I (7:22) Exploratory Analysis in R Part II (10:07) Exploratory Analysis in R Part III (7:26)...
Monitoring and Evaluation
by Thomas Winderl- 4.3
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43 mins on-demand video
A mini course in basic concepts of M&E for development and governance programmes, policies and services work with a results chain in the context of development and governance programmes, policies or services understand the difference between quantitative and qualitative data know some key tools to collect data yourself The crash course consists of 20 short, easily digestible lessons with video clips and graphics....
$79.99
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Imagery, Automation, and Applications
by Nick Santos- 4.9
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Approx. 28 hours to complete
Take Geospatial and Environmental Analysis as a standalone course or as part of the Geographic Information Systems (GIS) Specialization. You should have equivalent experience to completing the first, second, and third courses in this specialization, "Fundamentals of GIS," "GIS Data Formats, Design, and Quality", and "Geospatial and Environmental Analysis," respectively, before taking this course....
GIS, Mapping, and Spatial Analysis Capstone
by Don BoyesTop Instructor- 4.9
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Approx. 11 hours to complete
You will then find data for a topic and location of your choice, and perform analysis and create maps that allow you to try out different tools and data sets. Data Discovery and Project Proposal Data Acquisition and Preparation Evaluating data using metadata Data dictionary The importance of metadata Downloading and using GIS data...
Interprofessional Healthcare Informatics
by Karen Monsen, Ph.D., RN, FAAN- 4.4
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Approx. 11 hours to complete
Interprofessional Healthcare Informatics is a graduate-level, hands-on interactive exploration of real informatics tools and techniques offered by the University of Minnesota and the University of Minnesota's National Center for Interprofessional Practice and Education. We will explore perspectives of clinicians like dentists, physical therapists, nurses, and physicians in all sorts of practice settings worldwide....
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