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Remove Your Rose Tinted Glasses: Data Visualizations Designed to Mislead

datapine

From political issues to sports statistics and the recent report you received on the ROI of your company blog, the internet as well as informational reports are flooded with examples of misleading data visualization. But, by knowing what to look for, you can avoid connecting with metrics that will lead your organization down the wrong path.

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A Guide To Starting A Career In Business Intelligence & The BI Skills You Need

datapine

According to the US Bureau of Labor Statistics, demand for qualified business intelligence analysts and managers is expected to soar to 14% by 2026, with the overall need for data professionals to climb to 28% by the same year. The Bureau of Labor Statistics also states that in 2015, the annual median salary for BI analysts was $81,320.

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PASS Financials: past, present and the Future:

Jen Stirrup

My analysis is based on the Financial statements put forward by PASS using some basic metrics; until you do that piece, you can’t move forward to compare and contrast it with other data since you have not done your ‘descriptive statistical analysis’ first to ensure that the comparison is valid. million). Let me draw that out for you.

Metrics 104
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MLOps and the evolution of data science

IBM Big Data Hub

Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. When organizations meet compliance metrics, it reduces the risk of costly delays and wasted efforts.

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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well.

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To Balance or Not to Balance?

The Unofficial Google Data Science Blog

Identification We now discuss formally the statistical problem of causal inference. We start by describing the problem using standard statistical notation. The field of statistical machine learning provides a solution to this problem, allowing exploration of larger spaces. For a random sample of units, indexed by $i = 1.

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The 2015 Digital Marketing Rule Book. Change or Perish.

Occam's Razor

If you are doing lame stuff, why try harder in an analytics context by asking for Economic Value or Visitor Loyalty or Conversation Rate or a thousand other super powerful and insightful metrics ? AND you can have analysis of your risk in almost real time to get an early read and in a few days with statistical significance!

Marketing 140