My Time so far in The Coding Schools Research Program
I've been in the Data Science Research Program hosted by The Coding School, where I've learned a ton about the data science process. Here's the process in case you're interested: 1. Data Cleaning : removed null and missing values, filtering price outliers that skewed the data. 2. Exploratory Data Analysis (EDA) : a viewing phase where you look for cool insights in the data that you can explore through functions, plots, and further visualization techniques. 3. Statistical Analysis : Developing a null and alternative hypothesis, basically just a claim through the data that does not correlate (Ex, People who study more will not have a significantly higher grade on the final exam) and one that correlates (Ex, People who study more will have a significantly higher grade on the final exam). We can test for significance using a variety of tests, including T-tests, ANOVA, and Tukey's HSD. This will help you decide whether to approve/reject the null hypothesis based...