Search result for Example of data analysis Online Courses & Certifications
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First Order Optical System Design
by Amy Sullivan , Robert McLeod- 4.3
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Approx. 21 hours to complete
This course can also be taken for academic credit as ECEA 5600, part of CU Boulder’s Master of Science in Electrical Engineering degree. System Explorer and the Lens Data Editor Example of Sign Convention Example of Tabular First-Order Ray Tracing Another Example of First-Order Tabular Ray Tracing Example of ABCD matrices...
Survey analysis to Gain Marketing Insights
by David Schweidel- 4.5
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Approx. 5 hours to complete
Introduction to Factor Analysis Using Factor Analysis to Identify Underlying Constructs - Part 1 Using Factor Analysis to Identify Underlying Constructs - Part 2 Implementing Factor Analysis Using Factor Analysis to Identify Underlying Constructs - Part 3 Using Factor Analysis to Identify Underlying Constructs - Part 4 Using Factor Analysis to Identify Underlying Constructs - Part 5...
Digitalization in International Relations
by Yarygin Grigory , Sytnik Anna , Tsvetkova Natalia , Stadnik Ilona- 4.5
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Approx. 16 hours to complete
Four aspects of digitalization in international relations are explored in the course, notably digital diplomacy, big data and data diplomacy, global internet governance, and digital electoral technologies. Big Data in Foreign Policy: Methods of Analysis Digitalization in International Relations: Levels of Analysis Evolution of the Electoral Process. Strong and Weak Characteristics of Paper Ballot Voting...
Cost Estimation - Architectural work Case studies
by Ahmed Said Refaei- 3
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2 hours on-demand video
Estimating Cost of architectural items - Solved Examples This course is a solved example for estimating cost of architectural items: Breakdown and analysis of cost elements. Cost Estimating Masonry work example Cost Estimating plaster work example Cost Estimating Painting example Cost Estimating False ceiling work example Cost Estimating Flooring porcelain work example...
$12.99
Data Processing and Feature Engineering with MATLAB
by Adam Filion , Michael Reardon , Maria Gavilan-Alfonso , Brandon Armstrong , Heather Gorr , Erin Byrne , Brian Buechel , Isaac Bruss , Matt Rich , Nikola Trica , Cris LaPierre- 4.7
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Approx. 18 hours to complete
In this course, you will build on the skills learned in Exploratory Data Analysis with MATLAB to lay the foundation required for predictive modeling. Overview of Data Processing and Feature Engineering Summary of Module 1: Surveying Your Data Summary of Module 2: Organizing Your Data Examples of Normalizing Data Summary of Module 3: Cleaning Your Data...
Big Data, Genes, and Medicine
by Isabelle Bichindaritz- 4.2
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Approx. 40 hours to complete
You will learn exciting facts about the human body biology and chemistry, genetics, and medicine that will be intertwined with the science of Big Data and skills to harness the avalanche of data openly available at your fingertips and which we are just starting to make sense of. Working with cBioPortal - Genetic Data Analysis...
Six Sigma Advanced Define and Measure Phases
by Christina Scherrer, PhD , Gregory Wiles, PhD , Bill Bailey, PhD- 4.8
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Approx. 15 hours to complete
This course will provide you with the advanced knowledge of team dynamics and performance, process analysis, probability, statistics, statistical distributions, collecting and summarizing data, measurement systems analysis, process and performance capability, and exploratory data analysis associated with Six Sigma and Lean. Exploratory Data Analysis - Recommended Reading Exploratory Data Analysis Practice Quiz...
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Data Visualization and Communication with Tableau
by Daniel Egger , Jana Schaich Borg- 4.7
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Approx. 25 hours to complete
One of the skills that characterizes great business data analysts is the ability to communicate practical implications of quantitative analyses to any kind of audience member. By the end, you will know how to structure your data analysis projects to ensure the fruits of your hard labor yield results for your stakeholders....
Introduction to Data Science in Python
by Christopher Brooks- 4.5
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Approx. 31 hours to complete
This course should be taken before any of the other Applied Data Science with Python courses: Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, Applied Social Network Analysis in Python. Fundamentals of Data Manipulation with Python 50 years of Data Science, David Donoho (Optional)...
Data Analytics for Lean Six Sigma
by Inez ZwetslootTop Instructor- 4.8
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Approx. 11 hours to complete
At the end of this course you are able to analyse and interpret data gathered within such a project. I will emphasize on use of data analytics tools and the interpretation of the outcome. The setting we chose for our data example is a Lean Six Sigma improvement project. M4-V1 Introduction to data analysis...
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