Search result for Definition of data analysis method Online Courses & Certifications
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Data Structures
by Alexander S. Kulikov , Michael Levin , Daniel M Kane , Neil Rhodes- 4.6
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Approx. 25 hours to complete
A good algorithm usually comes together with a set of good data structures that allow the algorithm to manipulate the data efficiently. This will help you to understand what is going on inside a particular built-in implementation of a data structure and what to expect from it. (Optional) Splay Trees: Analysis...
Introduction to Statistics
by Guenther Walther- 4.5
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Approx. 15 hours to complete
By the end of the course, you will be able to perform exploratory data analysis, understand key principles of sampling, and select appropriate tests of significance for multiple contexts. Analysis of Categorical Data Analysis of Categorical Data One-Way Analysis of Variance (ANOVA) The Idea of Analysis of Variance One-Way Analysis of Variance...
Wrangling Data in the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 4.8
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Approx. 14 hours to complete
Data never arrive in the condition that you need them in order to do effective data analysis. This course addresses the problem of wrangling your data so that you can bring them under control and analyze them effectively. Exploratory Data Analysis Exploratory Data Analysis Conduct basic exploratory data analysis Conduct analyses of text data...
Principal Component Analysis (PCA) and Factor Analysis
by Gopal Prasad Malakar- 4.3
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1.5 hours on-demand video
The course explains one of the important aspect of machine learning - Principal component analysis and factor analysis in a very easy to understand manner. Properties of Principal ComponentsUnderstanding principal component analysis (PCA) definition using a 3D image Factor Analysis Using RFactor Analysis Using SASTheory for using PCA for Variable SelectionDemo of using PCA for Variable Selection...
$9.99
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...
Introduction to Clinical Data
by Nigam Shah , Steven Bagley , David Magnus- 4.6
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Approx. 12 hours to complete
We will explore the variety of clinical data collected during the delivery of healthcare. Review of key entities and the data they collect Strengths and weaknesses of observational data Secondary Uses of Data Ethical use of data in healthcare decisions How to make use of data that may be inaccurate in systematic ways...
Lean Six Sigma Green Belt Online Course (2020)
by Nilakantasrinivasan Janakiraman- 4.2
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14.5 hours on-demand video
Definition & Elements of Project Charter Definition & Purpose of SIPOC, Cross-Functional Process Maps, Process Flowchart, Standard Operating Procedure Value to customer & Definition & Purpose of Process Value Analysis Important Terms & Procedure of Process Value Analysis Definition of Cause & Effect Definition of Root Cause Analysis Definition of Graphical RCA...
$16.99
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Algorithms for Searching, Sorting, and Indexing
by Sriram Sankaranarayanan- 4.6
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Approx. 34 hours to complete
This course covers basics of algorithm design and analysis, as well as algorithms for sorting arrays, data structures such as priority queues, hash functions, and applications such as Bloom filters. Algorithms for Searching, Sorting, and Indexing can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform....
Foundations of Public Health Practice: The Public Health Toolkit
by Dr Richard J Pinder- 4.5
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Approx. 14 hours to complete
The Foundations of Public Health Practice: The Public Health Toolkit builds on public health thinking (introduced in the previous course) and introduces a variety of core public health approaches (the toolkit) to conceptualising problems, conducting analysis and bringing forward recommendations. E-tivity: Guided analysis of a health impact assessment Pros and cons of routinely and non-routinely collected data...
Survival Analysis in R for Public Health
by Alex Bottle- 4.5
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Approx. 11 hours to complete
Welcome to Survival Analysis in R for Public Health! Data set and glossary The Course Data Set Survival Analysis Variables Introduction to Missing Data Practice in R: Getting to know your data Describe a data set from scratch, using descriptive statistics and simple graphical methods as a necessary first step for more advanced analysis...
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