2 courses with the subject DTA, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
DTA 101Foundations of Data Analytics I3
Introduction to inference data analysis and data-driven computing, exploration of Bayes’ Theorem and bias in data. In an increasingly data-driven world, everyone should be able to understand the numbers that govern our lives. Whether or not you want to work as a data analyst, 66 being “data literate” will help you in your chosen field. In this course, you’ll learn the core concepts of inference and data analysis by working with real data. By the end of the term, you’ll be able to analyze large datasets and present your results. This online class has optional live sessions.
Continues exploration of techniques in Data Science, including Feature Engineering, Machine Learning and Data Processing. Completion of introductory sequence, exploring the fundamentals of machine learning, experimentation on data sets, and Big Data Analytics. This course is intended as a continuation of Foundations of Data Analytics I. In this course, you’ll learn how Data Analytics are applied within the workforce. Particular attention will be paid to the role of the Data Scientist or Analyst, machine learning and the applications of Big Data. By the end of the term, you will be able to design and execute a range of data-driven experiments. This online class has optional live sessions. Prerequisite: DTA 101
