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    Part 2 - Data Science with AWS (A Top Skill for 2020)

    Written by Matt Dancho on November 13, 2019
    ...

    Organizations depend on the Data Science team to build distributed applications that solve business needs. AWS provides an infrastructure to host data science products for stakeholder to access.

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    Apply Data Science to Improve Addiction Treatment

    Written by Matt Dancho on November 11, 2019
    ...

    Learn how one Business Science student created a data product that aims to help his organization improve the quality of care while reducing cost.

    Read More...

    Expert Shiny Developer with AWS - Course Launch Today!

    Written by Matt Dancho on October 21, 2019
    ...

    Learn how to build Scalable Data Science Applications using AWS Cloud Technology.

    Read More...

    Course Launch - Expert Shiny Developer with AWS in 7 Days!

    Written by Matt Dancho on October 14, 2019
    ...

    We've crafted an amazing course to teach Data Scientists and Programmers how to develop applications and deploy into production! We've combined an innovative program with a clear-cut path to production using R, Shiny, and AWS! You'll undergo a complete transformation. Time to accelerate your career!

    Read More...

    Web Scraping Product Data in R with rvest and purrr

    Written by Joon Im on October 7, 2019
    ...

    Learn how to web scrape HTML, wangle JSON, and visualize product data from the Bicycle Manufacturer, Specialized Bicycles.

    Read More...

    Cleaning Anomalies to Reduce Forecast Error by 9% with anomalize

    Written by Matt Dancho on September 30, 2019
    ...

    We can often improve forecast performance by cleaning anomalous data prior to forecasting. This is the perfect use case for integrating the clean_anomalies() function from anomalize into your forecast workflow.

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    PDF Scraping in R with tabulizer

    Written by Jennifer Cooper on September 23, 2019
    ...

    Learn how to scrape and wrangle PDF tables of a Report on Endangered Species with the tabulizer R package and visualize trends with ggplot2.

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    Big Data: Wrangling 4.6M Rows with dtplyr (the NEW data.table backend for dplyr)

    Written by Matt Dancho on August 15, 2019
    ...

    Wrangling Big Data is one of the best features of the R programming language - which boasts a Big Data Ecosystem that contains fast in-memory tools (e.g. data.table) and distributed computational tools (sparklyr). With the NEW dtplyr package, data scientists with dplyr experience gain the benefits of data.table backend. We saw a 3X speed boost for dplyr!

    Read More...

    Introducing correlationfunnel v0.1.0 - Speed Up Exploratory Data Analysis by 100X

    Written by Matt Dancho on August 7, 2019
    ...

    I'm pleased to announce the introduction of correlationfunnel version 0.1.0, which officially hit CRAN yesterday. The correlationfunnel package is something I've been using for a while to efficiently explore data, understand relationships, and get to business insights as fast as possible.

    Read More...

    Unlocking Blue Oceans with Data Science

    Written by Matt Dancho on August 5, 2019
    ...

    In this article, we'll examine how Blue Oceans are created and how your organization can create Blue Oceans with Data Science too. We'll finish with a roadmap for your organization to build Blue Oceans with Data Science.

    Read More...

    How I Started My Data Science Business

    Written by Matt Dancho on July 22, 2019
    ...

    This is a true story based on how I created my data science company from scratch. It's a detailed documentation of my personal journey along with the company I founded, Business Science.

    Read More...

    Excel to R, Part 2 - Speed Up Exploratory Data Analysis 100X (R Code!)

    Written by Matt Dancho on July 8, 2019
    ...

    Learn how going from Excel to R can speed up Exploratory Data Analysis, getting business insights 100X FASTER.

    Read More...
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