Scraping Court Records Data to Find Dirty Cops by Kristin via @LawsuitDotOrg

Given recent events, it's more important than ever to root out "bad apples." This article introduces some of the issues that citizen data investigators face, available resources, and how you can help. 

This is a great us to technology and available data to do some good even if it is looking backwards - maybe it can prove as a deterrent long time as they will know that they will be caught.

How Big Data Helps Drive Amazon Sales by/via @datafloq

The reliability of businesses on big data is becoming increasingly high every day. Businesses now fully rely on data, from the time it is generated, up to the moment it delivers valuable insight to online users. Hence, collecting, storing, processing, and analyzing data within a short period of time, has become necessary in order for a business to stay ahead of the competition.  Amazon, as the leading eCommerce platform, has achieved all its success by putting in hard work to remain at the top of the charts. It makes use of big data analysis to persuade customers to make more shopping choices that are pleasing. This stimulates more purchases from them, and thus more profits, but how do they use big data?

Interesting article that made me stop and think about the possibilities in other companies.

WEBINAR: Productive, Self-Service Data Science at AmFam 30 June 2020

Data Science Central Webinar Series Event

Productive, Self-Service Data Science at AmFam Join us for the latest DSC Webinar on June 30th, 2020 Data science is a core part of American Family Insurance’s digital transformation strategy. AmFam has more than ten million active policies and processes more than one million insurance claims per year. And the algorithms the data science team creates are key to enabling underwriters, claims adjusters, agents, and subject matter experts to spend less time on manual processes and low-level decision making and more time leveraging their experience to impact the business. To create those algorithms, data scientists need high-quality, trusted data. In the past, data engineers have had to build data sets in an ad hoc manner that was unsustainable for meeting the demands being put on the data scientist. Now, AmFam is leveraging the Alation Data Catalog to enable the data science team to self-serve on curated data: reducing redundant requests, streamlining communication, making valuable knowledge on the data searchable to all data scientists, and reducing onboarding time. In this latest Data Science Central webinar learn how AmFam is driving more productive data science on trusted, curated data with the Alation Data Catalog. Speakers: Sean Kappes, Data Science Engineer -- American Family Insurance Raja Perumal, Data Architect -- Alation Hosted by: Stephanie Glen, Editorial Director -- Data Science Central   Title:  Productive, Self-Service Data Science at AmFam Date:  Tuesday, June 30th, 2020 Time:  11:30 AM - 12:30 PM PDT   Space is limited so please register early: Reserve your Webinar seat now

WEBINAR: Your Model Will Probably Fail (And How to Prevent it) 9 July 2020

Data Science Central Webinar Series Event

Your Model Will Probably Fail (And How to Prevent it) Join us for this latest DSC Webinar on July 9th, 2020 Data science is more popular than ever, but many data scientists struggle with complicated workflows to run their models as well as how to best communicate the output to less technical stakeholders. Tableau can solve both of these challenges by designing R workflows and creating visualizations that break complicated models down into easily understandable stories. In this latest Data Science Central webinar, you will see some of the ways that you can use Tableau Prep and Desktop to bring data science to all of your users and help empower more data-informed decisions. Speaker: Alyssa Peck, Data Scientist -- Tableau Hosted by: Stephanie Glen, Editorial Director -- Data Science Central   Title:  Your Model Will Probably Fail (And How to Prevent it) Date:  Thursday, July 9th, 2020 Time:  9:00 AM - 10:00 AM PDT   Space is limited so please register early: Reserve your Webinar seat now

WEBINAR: AI + BI: Fueling Deeper Business Insights and Edge 30 June 2020

Data Science Central Webinar Series Event

AI + BI: Fueling Deeper Business Insights and Edge Join us for this latest DSC Webinar on June 30th, 2020 Today, businesses are being asked to do more with less, while finding new ways to not only stay competitive, but also outpace the competition. Most often, these same businesses also find themselves armed with a plethora of data, that when leveraged with the right technology, can help achieve the mission at hand. In this latest Data Science Central webinar, hear from two organizations that are coupling their data with artificial intelligence (AI) to power their business intelligence (BI) forecasts and dashboards. At the intersection of data and creative, strategy and execution, Tinuiti partners with brands to identify, engage, and acquire, retain, and reactivate customers across their digital journey. Meanwhile, Texas Mutual Insurance Company, the leading workers' compensation provider for its namesake state, works to meet the daily needs of more than 64,000 business owners and their 1.4 million workers. Despite being in very different industries and having two very different goals, these two leading organizations both realize that the combination of AI + BI can help them more effectively and efficiently achieve success. Register for this webinar and learn: How Tinuiti and Texas Mutual are leveraging AI and BI to uncover more powerful insights faster, and what it means for each of their respective businesses Why democratizing data insights beyond the data science team and line of business is key to empowering all decision makers with relevant insights How DataRobot and Tableau contribute to greater business productivity and edge, as well as business recovery during these challenging times Speakers: Roger D. Humecky, Vice President, Advanced Analytics -- Texas Mutual Insurance Annica Nesty, Senior Director, Marketing Science -- Tinuiti Emily Webber, Customer Facing Data Scientist -- DataRobot Blair Hutchinson, Product Manager -- Tableau Hosted by: Stephanie Glen, Editorial Director -- Data Science Central   Title:  AI + BI: Fueling Deeper Business Insights and Edge Date:  Tuesday, June 30th, 2020 Time:  9:00 AM - 10:00 AM PDT   Space is limited so please register early: Reserve your Webinar seat now

10 Smooth Python Tricks For Python Gods by @emmettboudgievia @TDataScience

10 Tricks that will individualize and better your Python code.

A great Python article by Emmett Boudreau with code snippets. At the bottom, he lists his Github account so you might find other great things there.

WEBINAR: Collaborative Data Science at Pfizer - 26 May 2020

Data Science Central Webinar Series Event

Collaborative Data Science at Pfizer Join us for the latest DSC Webinar on May 26th, 2020 The value of data science multiplies when it is used and applied across the organization. Successful data science should impact the business — and that requires data scientists to not only collaborate with one another but also with data consumers of differing technical expertise and experience. In this latest Data Science Central webinar, learn how Pfizer’s data science team is implementing collaboration in the right context — from processes to team structure and tools, like the Alation Data Catalog and Dataiku — to help make a greater impact with data science. Speaker: Neil Patel, Director of Data Science -- Pfizer Hosted by: Sean Welch, Host and Producer -- Data Science Central   Title:  Collaborative Data Science at Pfizer Date:  Tuesday, May 26th, 2020 Time:  9 AM - 10 AM PDT   Space is limited so please register early: Reserve your Webinar seat now

WEBINAR: How to Accelerate and Scale Your Data Science Workflows - 11 June 2020

Data Science Central Webinar Series Event

How to Accelerate and Scale Your Data Science Workflows Join us for this latest DSC Webinar on June 11th, 2020 Data scientists are faced with requests for information on a regular basis—from our colleagues, our bosses, or our clients. At the beginning of the analytic process, it's rare that requests are made or organized in a way that makes them easy to fulfill. It is our job to systematically unpack these requests and organize them in a way that allows us to take action and build analyses that accurately address the initial request—and to do it quickly, with the least amount of back-and-forth possible. In this latest Data Science Central webinar, learn practical techniques to optimize your workflow, as well as the logic behind this methodology. Sam Priddy will dissect some of the situations you likely encounter on a daily basis. He’ll also discuss how to use these techniques to help people see and understand their data at the speed of thought. Speaker: Sam Priddy, Data Visualization Guide -- Tableau Hosted by: Stephanie Glen, Editorial Director -- Data Science Central   Title:  How to Accelerate and Scale Your Data Science Workflows Date:  Thursday, June 11th, 2020 Time:  9:00 AM - 10:00 AM PDT   Space is limited so please register early: Reserve your Webinar seat now

Why You Will Fall in Love With Python Lists by Martin Andersson Aaberge via @TDataScience

Lists are ordered and mutable yummies

Great code and value examples so you can relly understand it.