Alation

FEBRUARY 12, 2021

Since everyone seems to want a data culture, we decided to write a multi-part blog series defining data culture, reviewing its benefits, and explaining how your organization can go about getting one. October 2018. Subscribe to Alation's Blog. What is Data Culture? The Three Pillars of Data Culture.

Data-driven 59

Data-driven Data Governance Software Statistics 59

datapine

SEPTEMBER 27, 2022

Originally published in 2018, the book has a second edition that was released in January of 2022. Also, interactive online tools and platforms such as Codecademy and SQLZoo will allow you to develop and practice your programming skills in an engaging, practical setting – an excellent supplement to your book learning efforts.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

Peter James Thomas

AUGUST 12, 2018

This piece was prompted by both Olaf’s question and a recent article by my friend Neil Raden on his Silicon Angle blog, Performance management: Can you really manage what you measure? However – as is often the case with issues I deal with on this blog – fact-based decision-making is easier to say than it is to achieve.

Metrics 49

Metrics Statistics Data Quality Measurement 49

Domino Data Lab

JANUARY 6, 2019

And my favorite topic: what are some of the best books, blogs, podcasts, etc., Laura Noren, who runs the Data Science Community Newsletter , presented her NYU postdoc research at JuptyerCon 2018, comparing infrastructure models for data science in research and education. for beginning study in data science? Learning Data Science.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

O'Reilly on Data

NOVEMBER 28, 2023

After programming and data analysis, the next most common use for generative AI was applications that interact with customers, including customer support: 65% of all respondents report that their companies are experimenting with (43%) or using AI (22%) for this purpose. Is generative AI the answer? Perhaps not yet.

Enterprise 267

Enterprise Modeling Testing Reporting 267

Domino Data Lab

MAY 8, 2019

Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV. 2018-06-21). They also require advanced skills in statistics, experimental design, causal inference, and so on – more than most data science teams will have. Use of influence functions goes back to the 1970s in robust statistics.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

IBM Big Data Hub

JANUARY 10, 2023

To make it easy for clients to understand how to utilize this capability within NPS, a demonstration was created that uses flight delay data for all commercial flights from United States airports that was collected by the United States Department of Transportation (Bureau of Transportation Statistics). Prerequisites for the demo.

Data Warehouse 52

Data Warehouse Cost-Benefit Statistics Data Processing 52

Domino Data Lab

JULY 22, 2019

This blog post provides a concise session summary, a video, and a written transcript. He was saying this doesn’t belong just in statistics. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. Session Summary. Tukey did this paper.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109