Remove Dashboards Remove Experimentation Remove Statistics Remove Visualization
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Why Nonprofits Shouldn’t Use Statistics

Depict Data Studio

— Thank you to Ann Emery, Depict Data Studio, and her Simple Spreadsheets class for inviting us to talk to them about the use of statistics in nonprofit program evaluation! But then we realized that much of the time, statistics just don’t have much of a role in nonprofit work. Why Nonprofits Shouldn’t Use Statistics.

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Top 8 predictive analytics tools compared

CIO Business Intelligence

The tools include sophisticated pipelines for gathering data from across the enterprise, add layers of statistical analysis and machine learning to make projections about the future, and distill these insights into useful summaries so that business users can act on them. Visual IDE for data pipelines; RPA for rote tasks. Highlights.

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The top 15 big data and data analytics certifications

CIO Business Intelligence

Candidates are required to complete a minimum of 12 credits, including four required courses: Algorithms for Data Science, Probability and Statistics for Data Science, Machine Learning for Data Science, and Exploratory Data Analysis and Visualization. The exam consists of 40 questions and the candidate has 120 minutes to complete it.

Big Data 126
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What is DataOps? Principles and Benefits

Octopai

Your dashboards, charts, visualizations… they’re all products. . Common elements of DataOps strategies include: Collaboration between data managers, developers and consumers A development environment conducive to experimentation Rapid deployment and iteration Automated testing Very low error rates. Issue detected?

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How Do Super Rookies Start Learning Data Analysis?

FineReport

Taking FineReport as an example, it is a BI reporting tool that can connect to various data sources, quickly analyze the data, and make various reports and cool dashboards. At the same time, it also advocates visual exploratory analysis. The visualization component library of FineReport is very rich. Dashboard of FineReport.

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6 DataOps Best Practices to Increase Your Data Analytics Output AND Your Data Quality

Octopai

When DataOps principles are implemented within an organization, you see an increase in collaboration, experimentation, deployment speed and data quality. Continuous pipeline monitoring with SPC (statistical process control). If you’ve created a useful reporting process or dashboard segment, no one need ever waste time reinventing it.

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Knowledge

Occam's Razor

The "Action Dashboard" (An Alternative To Crappy Dashboards). Five Rules for High Impact Web Analytics Dashboards. Six Data Visualizations That Rock! The Awesome Power of Visualization 2 -> Death and Taxes 2007. The Awesome Power of Data Visualization. Experimentation and Testing: A Primer.

KPI 124