The Omaha Data Science Academy was designed to meet the needs of both our students and the businesses who need Data Science. We offer 2 different paths to doing more with data. We also offer a corporate training for companies who are sending more than 4 people thought the academy.

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Building from the Data Analyst foundation courses students will work on more complex aspects of Data Science.
$1650.00
Since fundamentally Data Science is using statistics and economic modeling to predict what is likely to happen next, the Basics of Model Building will teach the student the fundamentals of how to build models. This will include the basics of model evaluation, choosing target variables and characteristics, and basic machine learning. Students will learn both how to model on a data science platform, a standard moving forward in data science, as well as how to search for and write common algorithms in Python.
$1650.00
This class will dive into the metrics behind evaluating an analytics model’s performance using F1, Accuracy, Precision, Recall, AUC, Cost matrix, and Cumulative Lift. We will additionally show the steps to building, testing, evaluating, adjusting/rebuilding, re-testing, and re-evaluating a model. We will also teach how to choose which model to use the pitfalls to just using accuracy as an indicator.
$1650.00
Data Science has gone from needing to know how to code to most modeling techniques having standardized libraries that can be pasted into a program. This means that one may do data science without understanding what the models mean or actually do. This class will drill into how to program the models the traditional way. We will use Word2Vec to scrape, debug, and enhance data science models. We will also show how to use Python to solve other gaps such as calculations, other data manipulation, and random number population.
Since fundamentally Data Science is using statistics and economic modeling to predict what is likely to happen next, the Basics of Model Building will teach the student the fundamentals of how to build models. This will include the basics o Read More
$1650.00
This class will dive into the metrics behind evaluating an analytics model’s performance using F1, Accuracy, Precision, Recall, AUC, Cost matrix, and Cumulative Lift. We will additionally show the steps to building, testing, evaluating, a Read More
$1650.00
Data Science has gone from needing to know how to code to most modeling techniques having standardized libraries that can be pasted into a program. This means that one may do data science without understanding what the models mean or actual Read More
$1650.00

Not sure which option is right for you?

Still not sure which track is the right one for you? Not to worry, the links below will give you the overview of the classes so you can find the right fit.