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For my second course, I am taking DTSC 650 Data Analytics in R. It’s the second course on utilizing the programming language R.
✍🏿 Here’s a description of the course:
Continuation of DTSC 550, with an emphasis on statistical techniques most used in modern data science. Will explore in greater depth linear and logistic regression, and continue to additional regression and classification techniques with a focus on application. Analyses will be completed in R.
This course will actually have two homework assignments I need to turn in, 6 exams, and a final project. Unlike the first course, which only had quizzes for a final grade.
The book we are using is free and located here. There’s a newer edition and I don’t understand why we’re not using it, but whatever. The book has lots of practice so far with great examples for the visualizations. I also like the exercise practice questions.
💡 Learning Objectives
- Utilize ggplot2 to create effective graphical representations of data
- Articulate the logic behind the grammar of graphics
💪🏿 This is what I accomplished my fourth week in the DTSC 650 course:
📺 Videos Watched (these videos follow along with the book):
- Assumptions Introduction
- Assumptions Part 1
- Checking Assumptions
- Homogeneity of Variance
- Violations of Normality
- Visualizing Assumptions
- An Example
- Odds and Ends
👀 Read this article:
🧪 Coding Assignments There are 2 coding assignments I completed this week that are graded. I did calculations like var, mean, and utilized pipes. They are submitted to an automated grading system (CodeGrade) that is very finicky:
- nycflights13 utilizes the tidyverse and nycflights13 packages.
- msleep utilizes the tidyverse packages which has the msleep dataset already inside it.
- An exam on Model-Building & Assumptions with 11 questions. Lots of fill in the blanks and questions with multiple answers.
- You can take the exam as many times as needed to get the score you want, but each test has different questions. I took the exam 1 time. Final score was 90.00% as I missed one. You have until the end of the semester to take all your exams. I’ll see how I do when I start turning in graded assignments on if I need to retake this test.
- Another easy week with just watching videos, completing a few problems, and a short test.
Also, I’m looking for an internship in the fall of 2023 to get real world experience, so if you’re hiring, let me know firstname.lastname@example.org! I want to move towards finance so quantitative research is what I’m targeting.
Stay tuned for week 5…
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Elyse Y. Robinson is the Founder of Switch Into Tech where she does monthly seminars, posts weekly freebies to help you switch into tech, Writer of Nube: Switch Into A Cloud Career, podcaster for Nobody Wants To Work Tho, creator of FullTuitionScholarships.org to help you not go into college debt, and in school for Data Science. Elyse is in love with Mexico, researching any and everything, and helping people switch into tech.