Search result for Data collection and analysis Online Courses & Certifications
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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....
Using clinical health data for better healthcare
by Tim Shaw- 4.6
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Approx. 15 hours to complete
Use health data and basic data analysis to inform and improve decision making and practice. Apply effective methods of communication of health data to facilitate safe and quality care. Article and instructions for quiz: 'Five ways digital data is changing health care' Data driven care - video and infographic Data analysis task - instructions and worksheet...
Data-driven Decision Making
by Alex Mannella- 4.6
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Approx. 9 hours to complete
In this course, you'll get an introduction to Data Analytics and its role in business decisions. You'll also be introduced to a framework for conducting Data Analysis and what tools and techniques are commonly used. Why do you need a data and analytics framework? Data analysis techniques and tools Data analysis approaches and techniques...
Geospatial and Environmental Analysis
by Nick Santos- 4.8
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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. Project Data Analysis and Wrapup Develop and analyze data for the geospatial analysis project...
Reproducible Research
by Roger D. Peng, PhD , Jeff Leek, PhD , Brian Caffo, PhD- 4.6
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Approx. 8 hours to complete
This course focuses on the concepts and tools behind reporting modern data analyses in a reproducible manner. In addition, reproducibility makes an analysis more useful to others because the data and code that actually conducted the analysis are available. Structure of a Data Analysis (part 1) Structure of a Data Analysis (part 2)...
Python for Data Science, AI & Development
by Joseph Santarcangelo- 4.6
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Approx. 17 hours to complete
This course will take you from zero to programming in Python in a matter of hours—no prior programming experience necessary! You will learn Python fundamentals, including data structures and data analysis, complete hands-on exercises throughout the course modules, and create a final project to demonstrate your new skills. APIs, and Data Collection...
Geospatial Analysis Project
by Nick Santos- 4.8
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Approx. 62 hours to complete
In this project-based course, you will design and execute a complete GIS-based analysis – from identifying a concept, question or issue you wish to develop, all the way to final data products and maps that you can add to your portfolio. Vector-Based Suitability Analysis (Review from Imagery, Automation, and Applications) Extra Practice: Data Analysis...
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Exploratory Data Analysis with MATLAB
by Erin Byrne , Michael Reardon , Maria Gavilan-Alfonso , Brandon Armstrong , Nikola Trica , Cris LaPierre , Adam Filion , Heather Gorr- 4.8
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Approx. 19 hours to complete
In this course, you will learn to think like a data scientist and ask questions of your data. You will use interactive features in MATLAB to extract subsets of data and to compute statistics on groups of related data. Overview of Exploratory Data Analysis with MATLAB Data and Code Files Visualizing and Filtering Data...
Segmentation and Clustering
by Rod Light- 0.0
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Approx. 3 weeks
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. lesson 4 Clustering models design Learn the difference between k-centroid and hierarchical clustering models. Learn how to visualize and validate your clusters....
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Meaningful Marketing Insights
by David Schweidel- 4.2
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Approx. 10 hours to complete
Surveys, transaction histories and billing records can all provide insight into consumers’ future behavior, provided that they are interpreted correctly. , sales) and on individual-level choice data (e. Exploring your Data with Visualization and Descriptive Statistics, Part 1 Exploring your Data with Visualization and Descriptive Statistics, Part 2 Excel Analysis of Motion Picture Industry Data Regression Analysis for Marketing Data...
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