I regularly teach classes on data science, statistics, and coding. As I teach more classes I will add them to my website.

Machine Learning for Beginners

I taught machine learning classes where I covered data pre-processing, data science algorithms, model accuracy metrics, model evaluation, and coding for modeling in Python.

Introduction to PySpark & Databricks

I taught courses that gave an introduction to big data analysis with PySpark on Databricks. I covered data processing, modeling, Spark architecture, and code optimization. I covered material that will prepare students for the Databricks certification exams.

Statistics in R

I taught a course that goes over the basics of statistics coding in R. We covered basic statistics concepts such as the normal distribution, p-values, t-test, and linear regression. These tutorials were coded in R to offer interactive demos and exercises for students.

R Programming

I taught a course that went over the basics of R programming. I covered basic concepts such as indexing, data types, and data manipulation. I also covered intermediate topics such as graphing in ggplot2 and dplyr. Taking this course will give students the foundation to become a intermediate-level coder in R.