Search result for Example of data analysis Online Courses & Certifications
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Business intelligence and data warehousing
by María del Pilar Ángeles- 3.9
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Approx. 10 hours to complete
You will be able to understand the problem of integration and predictive analysis of high volume of unstructured data (big data) with data mining and the Hadoop framework. The process of data mining The problem of integration and analysis of unstructured data Data types according to structure of data Analysis of unstructured data...
Measuring the Success of a Patient Safety or Quality Improvement Project (Patient Safety VI)
by Matt Austin- 4.6
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Approx. 6 hours to complete
A Global Example of Performance Measurement in Healthcare: The International Consortium for Health Outcomes Measurement Names to Know and Properties of a Good Measure Copy of Performance Measurement in Patient Safety and Quality Use of Quantitative & Qualitative Data in QI Projects Using Data & Measures to Evaluate the Success of an Improvement Project...
Analyze Data to Answer Questions
by Google Career CertificatesTop Instructor- 4.6
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Approx. 25 hours to complete
In this course, you’ll explore the “analyze” phase of the data analysis process. You’ll take what you’ve learned to this point and apply it to your analysis to make sense of the data you’ve collected. Types of data validation Discuss the importance of organizing your data before analysis with references to sorts and filters...
Quantitative Research
by Susan Berman , Olivier Rubel, PhD- 4.4
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Approx. 17 hours to complete
Identify the type of questions that should be asked and avoid unambiguous survey questions. Week 4: Predict most likely outcomes from the marketing decisions and match the type of analysis needed for your business problem. Assessing Suitability of Quantitative Research Introduction to Various Types of Quantitative Surveys Making Sense of Survey Data Quantitative Data Analysis Techniques for Data-Driven Marketing...
Predictive Analytics and Data Mining
by Sridhar Seshadri- 4.4
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Approx. 24 hours to complete
This course introduces students to the science of business analytics while casting a keen eye toward the artful use of numbers found in the digital space. The goal is to provide businesses and managers with the foundation needed to apply data analytics to real-world challenges they confront daily in their professional lives....
Foundations of strategic business analytics
by Nicolas Glady- 4.4
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Approx. 8 hours to complete
We'll also present you with different data analytics tools to be applied to different types of issues. Prerequisites : 1/ Be able to use R or to program 2/ To know the fundamentals of databases, data analysis (regression, classification, clustering) Basic clustering using ad-hoc techniques: the example of product management The example of HR Analytics...
Evaluation of Digital Health Interventions
by Lisa Danquah , Céire Costelloe- 0.0
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Approx. 32 hours to complete
This course focuses on data, evaluation methods and the economic evaluation of digital health interventions. This module focuses on key data considerations for digital health including data management, data visualisation and methods for evaluating digital health interventions. Types of data in Digital Health Hans Rosling Data Presentation and Summary of Examples...
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Statistics with R Capstone
by Merlise A Clyde , Colin Rundel , David Banks , Mine Çetinkaya-Rundel- 4.6
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Approx. 6 hours to complete
A large and complex dataset will be provided to learners and the analysis will require the application of a variety of methods and techniques introduced in the previous courses, including exploratory data analysis through data visualization and numerical summaries, statistical inference, and modeling as well as interpretations of these results in the context of the data and the research question....
Introduction to Big Data
by Ilkay Altintas , Amarnath Gupta- 4.6
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Approx. 17 hours to complete
It provides an introduction to one of the most common frameworks, Hadoop, that has made big data analysis easier and more accessible -- increasing the potential for data to transform our world! * Explain the V’s of Big Data (volume, velocity, variety, veracity, valence, and value) and why each impacts data collection, monitoring, storage, analysis and reporting....
Segmentation and Clustering
by Rod Light- 0.0
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Approx. 3 weeks
However, with the rich amount of data business have now, much more sophisticated segmentation approaches are available. Scale and transform data for clustering models. lesson 3 Variable Reduction Learn the difference between factor analysis and principle components analysis. Learn to use principal components analysis to reduce the number of variables in a model....
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