Advanced Go Workshop: Ultimate Data
Details
---- This class is only for those who identify as women or a gender minority! Thanks! ----
This is material for developers who have some experience with Go and statistics and want to learn how to work with data to make better decisions. We believe these classes are perfect for data analysts/scientists/engineers interested in working in Go or Go programmers interested in doing data analysis.
This course will cover:
- Introduction to Data Analysis
This material introduces the basic principles and procedures of rigorous data analysis and motivates the use of Go in this context
- Data Gathering, Organization, and Parsing
This material covers the gathering, organization, and parsing of data to/from a local and remote sources.
- Matrices and Linear Algebra
This material covers the organization of data into matrices and matrix operations. Once you are done with this material you will understand how to form matrices within Go programs and how to utilize those matrices to perform various types of matrix operations.
- Statistics and Aggregation
This material covers statistical measures and operations key to day-to-day data science work. Once you are done with this material you will understand how to perform solid summary data analysis, describe and visualize distributions, quantify hypotheses, and transform data sets with, e.g., dimensionality reductions.
- Prediction
This material introduces various types of machine learning along with evaluation and validation techniques. Once you are done with this material you will understand how to train, evaluate, validate, and utilize various models (e.g., for regression, clustering, and classification).
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