This article is by Heather Harris and originally appeared on the Alteryx Nation Blog here: https://community.alteryx.com/t5/Alter-Nation-Blog/Use-Your-Alteryx-Badassery-to-Grow-Your-Career-and-Brand/ba-p/505382
When we searched for job postings worldwide that mention “Alteryx” in the job posting.
This article is by Timothy Lam and originally appeared on the Alteryx Data Science Blog here: https://community.alteryx.com/t5/Data-Science-Blog/Expand-Your-Predictive-Palette-III-I-Sales-Forecast-with-Prophet/ba-p/504651
At a high-level, forecasting techniques can be broken down into three main categories:
Historical Average with Sliding Windows
Examples: Seasonal Decomposition, Exponential Smoothing (ETS)
Pros: Simplicity: any tool can integrate like Excel & Tableau;
Cons: Laggardly reaction to changes & overly responsive with outliers, only works with simple structure
Linear Models
Examples: ARIMA, VAR(Good for multiple time series)
Pros: Works with consistent variation, such as established seasonality trends
Cons: Proper assumption on stationarity and homoscedasticity (statistics term for consistent variance/error). Careful predictor selection to prevent multicollinearity (statistics term when predictors are linearly correlated).
Non-Linear Models
Examples: Prophet, GARCH (generalized autoregressive conditional heteroskedasticity), Deep Learning
Pros: Discovering non-linear relationship & data drift in your data.
This article is by Ian Wi and originally appeared on the Alteryx Data Science Blog here: https://community.alteryx.com/t5/Data-Science-Blog/Observations-on-the-Citizen-Data-Scientist/ba-p/472029
Citizen Data Scientist is currently a very popular term in the analytics community.
This article is by Olivia Duane Adams and originally appeared on the Alteryx Analytics Blog here: https://community.alteryx.com/t5/Analytics-Blog/Analytics-as-an-Equalizer-Creating-a-We-Culture/ba-p/471071
Everything starts with a story. There was a time, not too long ago, when it was incredibly rare to see women pursue careers in science and technology and while we still see women underrepresented in these areas, women are taking a stronger foothold in mathematics and analytics.
This article is by Christopher Russell and originally appeared on the Alteryx Analytics Blog here: https://community.alteryx.com/t5/Analytics-Blog/2019-4-You-Vision/ba-p/491388
See 20/20 with our 2019.4 release as we take off into the new year and begin solving your biggest business questions with better vision.
This article is by Alan Jacobson and originally appeared on the Alteryx Analytics Blog here: https://community.alteryx.com/t5/Analytics-Blog/Innovating-in-Data-Science-and-Machine-Learning-Modeling-Better/ba-p/472421
What is Feature Engineering?
First, before we go too far into all the reasons why we are excited, let’s talk a bit about what Feature Engineering is all about.
This article is by Timothy Lam and originally appeared on the Alteryx Data Science Blog here: https://community.alteryx.com/t5/Data-Science-Blog/Observations-on-the-Citizen-Data-Scientist/ba-p/472029
After enriching our supervised learning palette, folks asked: How about an unsupervised technique like clustering or dimension reduction?
Indeed, a common data science statistic is that 80% of our work is data preparation; one of our common tasks is to group the data points into various clusters with similar properties and characteristics.
This article is by David Hare and originally appeared on the Alteryx Data Science Blog here: https://community.alteryx.com/t5/Engine-Works-Blog/Presto-will-it-Alteryx/ba-p/420935
I'll start this series with Presto, a technology that many customers have been asking about recently.
This article is by Michael F and originally appeared on the Alteryx Engine Works Blog here: https://community.alteryx.com/t5/Engine-Works-Blog/An-Introduction-to-Troubleshooting-Alteryx-Server/ba-p/401682
When Alteryx Server returns an error message, there are many log files that can be used to help identify the cause of the error.
This article is by Ian W and originally appeared on the Alteryx Data Science Blog here: https://community.alteryx.com/t5/Engine-Works-Blog/Evaluating-Designer-For-Your-Workflow/ba-p/404460
It’s no secret that Designer users are also Designer fans.