November 6th: Machine Learning & Data Science
Back by special request, here is the half-day class from Infotec 2017 on How to Find Machine Learning Experts When None Exist. This is part of our new partnership with Bellevue University providing both online and onsite data science training. In this class you will learn: What is a machine learning data scientist and how do you find/hire one? Many companies struggle with the concept of what machine learning is and what it does. Since Machine Learning is quickly becoming a barrier to entry for a product, companies will soon not consider a piece of software or app that does not have machine learning built into it. However, Machine Learning skills are extremely hard to find and almost cost prohibitive. Many companies are trying to fill the need using a regular data scientist (also hard to find). This session will discuss the necessary skill sets of a Machine Learning data scientist, the parallel data scientist skills which can be cross trained, and how to manage those people once they get the right training. It will also cover the value proposition of Machine Learning and how it applies to your business.
Enrollment begins September 1st.
December 4th: Data Science Leadership
Built for those who are going to be tasked, or are currently tasked, with leading the philosophical change that is Data-Driven Decision Making. The key word is “leading”– getting ahead of the curve and staying there. Leaders first need to understand what has changed in business in a world where data science is building moats between business competitors. There will be training on what data science is, how data science works, and how data science can drive better decisions as well as how to implement ideas and how to hire, train, and manage talent. The seminar will then address some of the major barriers that leaders deal with: the bias of inactivity, the bias of decision avoidance, ROI for “science” projects, acquiring resources, choosing the right projects, and management’s ability to understand the results. There will also be discussions on job task automation, classification algorithms, effective charts/graphs, data ripeness/freshness, and model refresh frequency, etc. You will come away with a much better understanding of the people you are managing, the people who need their predictions, and how to stand in between both camps.
January 22nd: Cohort 6 begins
The ODSA begins its 6th Cohort in January 2019. Get trained from 6-9 pm on what CAN’s data scientists did from 8-5. In these classes, students will be introduced to some of the major concepts of Data Science (Python Programming, Database Management, Basic Modeling Building, Machine Learning, and Data Visualization) and some of the tools used in the profession (Python, Data Science Platforms, and Tableau). This is not meant to replace the degree from four year institutions, but instead, to enhance the person who is almost a data scientist but is missing a few critical skills to “round them out.” Graduates of the DSA will leave with the confidence and skills of an entry level data scientist and be able to have conversations with business units, build predictive analytical MVPs, and be able to know and continue to learn the skill sets needed for data science projects.
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. Read more…
Last Thursday, Data Science on the Plains hosted their first meetup event. The event started with peer to peer networking over pizza and beer followed by a presentation by Union Pacific’s Jason Hochwender who spoke about the multiple data analytic projects currently happening at UP and his own pursuit of creating a data driven culture. 25 attendees from a range of different companies across Omaha were able to brainstorm strategies on how to lead data science initiatives into our own organizations and navigate politics that may arise in the process. Come join us at our next meeting in early November and help us continue to build the data science community in Omaha.
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.
Join them this Thursday, June 21 to discuss possible solutions to health issues in Omaha. Discover how the right visuals and story can help people digest information that may be hard to glean from printed statistics alone. Look for our case study about Live Well in the coming weeks to learn more. Register for the event: Map Chats with Live Well Omaha.
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.
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.
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.
Cohort 1 starts with Introduction to Data Science classes on July 11. Apply now.