Business Over Broadway

MARCH 8, 2021

Ways of improving gender diversity in the field of data science are offered. US Labor Force Statistics for Selected Occupations. How does gender diversity look in the data science world? I analyzed data from the 2020 Kaggle Machine Learning and Data Science survey in which they surveyed over 20,000 data professionals.

Data Science 138

Data Science Machine Learning Statistics Reporting 138

Data Science 101

APRIL 12, 2019

LinkedIn’s 2017 report had put Data Scientist as the second fastest growing profession and it’s number one on 2019’s list of most promising jobs. There are three main reasons why data science has been rated as a top job according to research. StreamSets is a top option for data management and integration. 3 1010 Data.

Statistics 110

Statistics Data Science Machine Learning Software 110

Sisense

MARCH 16, 2020

Data is at the heart of this process, informing these bodies what to do, who to address and how to be successful. It’s so significant that in 2014, the UN established its Data Revolution Group to recommend how data can optimize its role as a force for good in sustainable development.

Statistics 72

Statistics Data-driven Big Data Finance 72

Domino Data Lab

OCTOBER 7, 2020

Statistical methods for analyzing this two-dimensional data exist. This statistical test is correct because the data are (presumably) bivariate normal. When there are many variables the Curse of Dimensionality changes the behavior of data and standard statistical methods give the wrong answers.

Statistics 145

Statistics Testing Predictive Modeling Modeling 145

CIO Business Intelligence

JULY 20, 2022

Yet in the cybersecurity field, women only account for about one quarter (24%) of the overall workforce, albeit, up from 11% in 2017, according to the ISC2 Women in Cybersecurity report. A 2020 World Economic Forum report found that women make up a similar percentage (26%) of data and AI positions in the workforce.

IT 134

IT Software Cost-Benefit Strategy 134

Alation

SEPTEMBER 28, 2022

The term has been used a lot more of late, especially in the data analytics industry, as we’ve seen it expand over the past few years to keep pace with new regulations, like the GDPR and CCPA. DataOps as a term was brought to media attention by Lenny Liebmannin 2014, then popularized by several other thought leaders.

Cost-Benefit 52

Cost-Benefit Data Quality Manufacturing Testing 52

Domino Data Lab

JANUARY 6, 2019

This is especially the case in data science; most enterprise organizations simply cannot hire enough of the data analytics talent they need therefore, so much of these staffing needs must be filled by current employees. Recently the World Economic Forum published “ The Future of Jobs Report 2018.”

Data Science 56

Data Science Machine Learning Reporting Visualization 56