article thumbnail

Per Scholas redefines IT hiring by diversifying the IT talent pipeline

CIO Business Intelligence

When CEO Plinio Ayala joined Per Scholas in 2003, he noticed there weren’t enough skilled technicians to fix the hardware the organization collected. It was just talking about how computers work and the theory of code and the theory of statistical analysis and how best to write your code,” says Wilson.

IT 104
article thumbnail

Humans-in-the-loop forecasting: integrating data science and business planning

The Unofficial Google Data Science Blog

With those stakes and the long forecast horizon, we do not rely on a single statistical model based on historical trends. Figure 2: Forecast triangulation Integrating customer forecasts with statistical forecasts In strategic forecasting, the proposed forecast may rely partially on forecasts or assumptions not owned by the data scientist.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Diversity for Businesses: What happens if Diversity is at odds with the organization?

Jen Stirrup

What happens if diversity is reduced to marketing, and the inclusion piece is forgotten? What happens if a diversity issues bumps up against a marketing issue, for example? It can provide you with a competitive advantage, which can bring you closer to the market and perhaps even get to the market first.

article thumbnail

PODCAST: COVID19 | Redefining Digital Enterprises – Episode 6: The Impact of COVID-19 on Supply Chain Management

bridgei2i

You know, their distribution channels, especially in growth in emerging markets, are severely strained economically because of their size. So, a lot of even these companies will have to re-engineer their analytics to reflect this new market reality. Anushruti: Right. And I’m specifically talking about demand forecasting here.

article thumbnail

The trinity of errors in applying confidence intervals: An exploration using Statsmodels

O'Reilly on Data

We develop an ordinary least squares (OLS) linear regression model of equity returns using Statsmodels, a Python statistical package, to illustrate these three error types. CI theory was developed around 1937 by Jerzy Neyman, a mathematician and one of the principal architects of modern statistics. on average.

article thumbnail

Create High-Impact Data Visualizations: Nine Effective Strategies

Occam's Razor

Ex: Six Visual Solutions To Complex Digital Marketing/Analytics Challenges. Consider this, conversion rate could go up by a statistically significant percentage… While revenue actually goes down. Their Statistical Bulletin 2017 has a lovely collection of graphs and charts that we all use in some shape or form.