Introduction to Machine Learning
This course introduces participants to both supervised and unsupervised learning algorithms with discussion of what datasets lend themselves to solutions with the various ML techniques. Hands-on labs are designed to assist the learner in understanding the concepts and are all done using Jupyter Notebooks. Where necessary, background material in Linear Algebra, Probability, and Python will […]
Data Science
Introduction to Data Visualization
We are constantly faced with a vast amount of complex information – often more than we can handle. Well-designed visual interpretations of data improve comprehension, communication, and decision making. This workshop introduces data methods and techniques that increase the understanding of complex data. The focus is on conveying ideas effectively with visually appealing charts, graphs and […]
Data Science
R Programming
This course teaches many concepts and capabilities of the R programming language. Some of the topics include importing data, data visualization using ggplot2, built-in R datatypes & structures, and general R syntax. Upon completion of the course students will be able to import, analyze, and summarize large, complex data sets using R.
Data Science
Data Warehousing on Amazon Web Services (AWS)
Data Warehousing on AWS introduces you to concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in AWS. This course demonstrates how to collect, store, and prepare data for the data warehouse by using other AWS services such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis […]
Data Science