LinkedIn released their August workforce report today which revealed that the demand for data scientists has increased dramatically since 2015. Almost every large U.S. city has a shortage of data scientists in some capacity. This could be due to the fact that more industries are beginning to incorporate data science, from manufacturing to agriculture.
To help with the shortage, Contemporary Analysis has a developed a solution to this very problem called Data-Science-as-a-Service (DSaaS). DSaaS allows a company to have an entirely staffed data science team in one day—no job descriptions, no hiring. Our team is experienced in helping form a vision around what your particular data science team needs are, and then has the wisdom and skill set to execute those needs.
Here at Contemporary Analysis we believe good visualization is the key to understanding data and making data-driven decisions from it. We have worked with multiple companies (including nonprofits) over the years to provide valuable visualizations of their data, both at the macro and micro levels, to help them use their data more strategically. While technologically agnostic, we do recommend Tableau for those users who are either new or non-technical. We offer classes on how to use data visualization through our school, the Omaha Data Science Academy.
August 15th: Data Manipulation and Management
Contemporary Analysis’ data science training program, the ODSA, continues its data science training classes with their next class, Data Manipulation and Management, beginning August 15th. This class teaches a student how to store and transform data specifically to be used in modeling. It will also teach database design, SQL queries, different schemas, data cleaning techniques, and data appending. The class will also introduce a tool called Dataiku--a data platforming tool used for easier data engineering and visual/drag and drop data science.
The ODSA now accepts the GI Bill!
Live Well Omaha is a nonprofit that leads a coalition of organizations to collectively prioritize health in Omaha. Live Well is paving new ground in the nonprofit sector with their data driven mindset. They approached Contemporary Analysis with an idea: to visualize their health data with interactive storytelling maps, tracking the progress of different health metrics in Omaha such as child healthy weight.
Data science has been named America’s hottest job by an article written in Bloomberg.
In recent years, there has been an explosion in the amount of available data and an advancement in tools that can tame and harness it. Companies are counting on data scientists to make discoveries within the data, yet there is a major shortage of people who are skilled in this area. The article recounts how this scarcity is causing companies to pay incredibly high wages to attract these sought-after professionals.
Programs for aspiring data scientists are difficult to find within traditional institutions because data science has only sprung up in recent years. Nontraditional educational routes such as the Omaha Data Science Academy has tried to fill this gap. Interested in joining the next cohort? Apply now.
The GI Bill is now accepted by the Omaha Data Science Academy. Veterans, in partnership with the Interface Web School, can now use their GI Bill® to receive relevant tech training at the DSA.
We want to help veterans jumpstart their career transition by preparing them with the necessary skills needed for a successful and profitable job in data science. Learn from practicing data scientists and get a leg up on college grads.
Your Data Isn't Ready, and Your Company Might Not Be Either
Contemporary Analysis (CAN) and Cabri Group and have teamed up again to use Machine Learning to predict the 2018 NCAA Men’s Basketball Tournament. This is different than last year as we are picking the entire 2018 bracket instead of just upsets.
Historically, only 26% of tournament's games end in an upset (this includes games from all rounds). That's 17 out of 64 games. Last year we did really good. Only failing to predict 3 upsets and getting 50% of our predictions right. We are going to need to improve a bunch to win that 1M/year for life from Berkshire Hathaway--including that wee bit about having to work for Berkshire Hathaway to be eligible. This year we added far more variables and used an ensemble model. Will we be perfect? Probably not. Here is the problem with using Machine Learning to try and predict a perfect bracket:
Today is Contemporary Analysis (CAN)’s 10th birthday!!! Although we are not the company we started back in 2008—different logo, different owners, new leaders, new data scientists, even a new way to serve up data science,—we still have the best team in the region and now 10 years of wisdom of how to implement, build, and train data scientists as well. Let us help -- even if it is just a phone call for advice. Our goal is to help every company in the region use data science to be competitive in their niche.