Basics of Python Programming | Data Manipulation & Management | Machine Learning & Data Science Modeling | Data Visualization using Tableau

  • 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 profession (Python, Data Science Platforms, and Tableau). This is not meant to replace the mathematics or economics degree created by four year institutions, but instead, to enhance the person who is almost a data scientist but is missing a few needed 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.
  • Cohort 5 -- July 11 - March 11, 2019 APPLY
  • Cohort 6 -- January 14, 2019 - August 11, 2019 APPLY

    Basic Model Building

  • 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. $3500
  • Sep 26, 2018 - Oct 22, 2018 APPLY
  • 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. 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. $3500
  • Nov 5, 2018 - Dec 3, 2018 APPLY
  • Python and Advanced Data Science Modeling

  • 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. $3500
  • Jan 7, 2019 - Feb 4, 2019 APPLY
  • Data Visualization using Tableau

  • With an increase in demand of 1,581% from 2011-2015, Forbes showed this one skill alone is immensely valuable in helping key non-technical business users understand data and analytics. In this class, we will teach the fundamentals of data visualization using Tableau, an industry-wide benchmark for quality visualization tools. Students will learn the necessary skills to build visualizations and best practices needed to make them implementable. $3500
  • Feb 13, 2019 - Mar 11, 2019 APPLY