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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
- Import data
- Manipulate data using Tidyverse and dplyr functions
💪🏿 This is what I accomplished my second week in the DTSC 650 course:
- Chapter 5 Data Transformation
- Chapter 11 Data import
- Chapter 18 Pipes
📺 Videos Watched (these videos follow along with the book):
- More R Intro
- R Workflow Basics
- Data Import
- Data Transformation
- Missing Values
- Textbook Exercises 5.2
- Textbook Exercises 5.3
- Textbook Exercises 5.4
- Missing Values Part 2
- Star Wars Example
- Star Wars Part 2
- Tidy Data
- More R Wrap-Up
- Module 3 exam had 15 questions: fill in the blank, true/false, choose more than one answer for a list of choices, and multiple choice with one answer. It was heavy on fill in the blanks which was tough, but I got it! I did one calculation to see if a code that was given worked.
- 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 100.00%. 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.
- I really enjoyed learning about pipes specifically. I thought it was a great idea to minimize the “fluff” of programming in R.
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 email@example.com! I want to move towards finance so quantitative research is what I’m targeting.
Stay tuned for week 3…
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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.