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Introduction to Data Science

Whether it be machine learning, web scrapers, applications, or computational modeling, a data scientist has to know how to think programmatically as well as write code to connect disparate systems.

Data Manipulation and Management

This class will teach the student how to design, store, clean, query, and access data which is the key foundation to any projects success.

Basic Model Building

the Basics of Model Building will teach the student the fundamentals of how to build models, basics of model evaluation, choosing target variables and characteristics, and basic machine learning.

Mathematics of Model Evaluation

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.

Python and Advanced Data Science Modeling

This class will show how to program data science models using Python. Additionally, we will show how to enhance models, do data manipulation, scrape, debug, and random number populations.

Data Visualization using Tableau

Expressing data is key to implementation, scale, and corporate buy-in. We teach the fundamentals of building and expressing data visually so non-technical users can make decisions from the data.

The need for data scientists is growing rapidly. Gartner states that by 2020, there will be an anticipated 100,000+ shortage of analytic talent here in the United States. The Omaha Data Science Academy is here to counter that problem. Not meant to replace a four year degree, the DSA certificate was designed to supplement a person’s knowledge that already has a degree and needs only a new, additional skill set to position themselves as a data scientist.

We believe a well rounded data scientist is especially needed to solve today’s problems. A certificate from the Omaha Data Science Academy includes teachings from the 4 distinctly different pillars of knowledge needed to be a data scientist: programming, database, statistics and computational modeling, and data visualization.

We give our students tools to introduce data science into company’s culture; get necessary political buy-in; find, manipulate, and analyze the data present inside the company’s database; make predictions of outcomes; and create visualizations that can help non-technical users see and understand the identified trends and patterns inside the data.

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Current Certificate–Cohort 4

In session through August 1, 2018

Future Certificate–Cohort 6

January 14, 2019 - August 7, 2019

Dates Subject to Change

Introduction to Data Science

Jan 22, 2018 - Mar 14, 2018

Data Manipulation and Management

Mar 26, 2018 - Apr 18, 2018

Basic Model Building

May 7, 2018 - Jun 4, 2018

Mathematics of Model Evaluation

Apr 2, 2018 - May 7, 2018

Python and Advanced Data Science Modeling

Mar 5, 2018 - Jun 4, 2018

Data Visualization using Tableau

Sep 10, 2018 - Oct 1, 2018

Introduction to Data Science

Jan 14, 2019 - Feb 6, 2019

Data Manipulation and Management

Feb 18, 2019 - Mar 13, 2019

Basic Model Building

Mar 25, 2019 - Apr 22, 2019

Mathematics of Model Evaluation

May 6, 2019 - Jun 3, 2019

Python and Advanced Data Science Modeling

Jun 10, 2019 - Jul 3, 2019

Data Visualization using Tableau

Jul 15, 2019 - Aug 7, 2019

Become job-ready with these skills:

  • Database & Data Structures
  • Statistics
  • Python
  • Predictive & Prescriptive Analytics
  • Business Implementations Skills
  • Data Visualization
  • Tableau

Companies Employing Our Graduates