Congrats to Dan Teynor on becoming Certified Data Scientist

Posted on February 02, 2018

Congrats to Dan Teynor on becoming Certified Data Scientist

Congratulations to Dan Teynor for successfully completing the Microsoft Professional Program for Data Science. This program is 10 courses: 1 intro course + 1 capstone + 8 different skills. This was part of his Employee Development plan. This certification was a desire that was mutually beneficial to him and MEORC. We are fortunate to have Dan as part of our Team at MEORC, he brings so much to the organization!

What does this certification mean to Dan?

My master’s in economics is actually 4 degrees in 1: math, statistics, computer programming, and economics.  My professor used to say we were “economists 1st, statisticians 2nd, and computer programmer’s 3rd.”  I added mathematics myself because we had to perform abstract calculus and linear algebra manipulations to understand the mathematics underlying the statistical model. After almost 10 years “in the field,” I realized it was time to become “economist 1st, statistician 1st, and computer programmer 1st” and decided to pursue this certification.

 What does this certification mean to MEORC?

It’s about catching up with the world around us and having those insights to stay competitive in an ever-changing world.  A S.W.O.T. analysis can only do so much. Machine Learning and all of the related tools can identify opportunities and threats – and turn both into opportunities.

 What are the 8 skills mentioned above that was part of this certification?

  1. Querying Relational Data – writing computer code to store, search, manipulate, and extract extremely large databases using a language called Transact-SQL, commonly used with SQL databases. Access databases are like a baby version of SQL databases.
  2. Analyze & Visualize Data – using a program called Power B.I. (Business Intelligence) to create compelling, interactive live dashboards of large amounts of data. It can be used to create the “pretty face” for SQL databases.
  3. Understand Statistics – a lot of the examples in this course were from many different sectors including health and sports.  Ever hear of “Moneyball”? This course provides the path for learning those concepts.
  4. Explore data with code – although Transact-SQL is a robust language in itself, there are many languages out there including C#, C++, Rust, R, Python, and the list goes on. Each one has its own focus, and R is, in my opinion, excellent for statistical analysis. It’s what the TCM app is built on (you will hear more about that later as a Lean Story).
  5. Data Science Essentials – puts it all together and introduces the first taste of artificial intelligence through Microsoft’s Azure Machine Learning Studio.
  6. Understand Machine Learning - ever wonder how Netflix works? Ever wonder how banks determine how to lend money? You create actual artificial intelligence tools to model these utilities.
  7. Use Code to Manipulate and Model Data – Adds some more predictive analytical models to the machine learning tools.
  8. Applied Data Science – So what? Let’s put it all together. The point is to use everything together to make better, faster, smarter decisions. Takes the previous machine learning course to the next level.