Week 3

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Want to know why I decided to pursue a Master’s in Data Science? Go here
Looking for DTSC 550 week 1? Week 1
Looking for DTSC 550 week 2? Week 2
Looking for DTSC 550 week 4? Week 4
Looking for DTSC 550 week 5? Week 5

For my first course, I am taking DTSC 550 Introduction to Statistical Modeling. It’s the first course on utilizing the programming language R.

โœ๐Ÿฟ Here’s a description of the course:

  • Introduction to foundational concepts, theories, and techniques of statistical analysis for data science. Students will begin with descriptive statistics and probability, and advance through multiple and logistic regression. Students will also conduct analyses in R. This course is approachable for students with little statistical background and prepares them for DTSC 650:ย Data Analytics in R

The book we are using is free and located here. I’m not saying the book is bad because I’m only one chapter in, but it reads like someone is talking. It’s a little too wordy for me. ๐Ÿ˜ด I believe a lot can be cut out. Just give me the facts and move on.


๐Ÿ’ก Learning Objectives

  • Understand the distinction between measures of central tendency and measures of variability
  • Calculate and define each measure of central tendency and variability
  • Describe how the mean is the first model weโ€™ll discuss, and how we can assess it
  • Demonstrate an elementary understanding of probability
  • Articulate why understanding distributions is important
  • Identify ways distributions can differ
  • Describe the normal and binomial distributions

๐Ÿ’ช๐Ÿฟ This is what I accomplished my third week in the DTSC 550 course:

๐Ÿ“˜ Chapter 5 goes over:

  • Descriptives

๐Ÿ“˜ Chapter 9 goes over:

  • Probability

๐Ÿ“˜ Chapter 6 goes over:

  • Graphs

๐Ÿ“บ Videos watched (each video has a 1 question quiz at the end):

  • Descriptives:
    • Central Tendency
    • Variability
    • Connections
    • Skew And Kurtosis
    • Standard Scores
  • Probability
    • Probability Introduction
    • What is Probability
    • Probability Basics Part 1
    • Probability Basics Part 2
    • Probability Distribution Overview
    • Binomial Distribution Part 1
    • Binomial Distribution Part 2
    • Normal Distributions Part 1
    • Normal Distributions Part 2
    • Other Distributions
  • Graphs
    • Intro to Plots
    • Plots

๐Ÿงช Labs

  • 2 Practices lab with the answers: mean, median, min, max, range, variance, standard deviation, summary, z-score of a loaded dataset
  • Descriptive Statistics practice problems: Calculated the mean, median, mode, range, variance, and standard deviation for 3 datasets using RStudio and the programming language R.

๐Ÿ’ฏ Exam

  • Module exam had 31 questions: fill in the blank, true/false, and multiple choice (some with more than one answer). It was heavy on the graphs from chapter 6, so study that deeply. I had to do a few calculations using R in R Studio. 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 five times. Final score was 85%. I’m noticing for the fill in the blank questions I’m not typing it exactly how the system wants it. For example, I put equal to one when it should have been just one. ๐Ÿ˜ I’ll see how the rest of the course progresses with my grades before I decide to take it again. You have until the end of the semester to take all your exams.

R

Want to know why I decided to pursue a Master’s in Data Science? Go here
Looking for DTSC 550 week 1? Week 1
Looking for DTSC 550 week 2? Week 2
Looking for DTSC 550 week 4? Week 4
Looking for DTSC 550 week 5? Week 5


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Elyse Y. Robinson Elyse Y. Robinson, an enterprising entrepreneur, is the mastermind behind Taxes and Services, a multifaceted holding company that doubles as her accounting firm. Her ventures encompass an array of innovative projects. One of her key initiatives is Switch Into Tech, a dynamic weekly newsletter that doubles as a platform for advertising monthly career seminars, offering weekly tech-related freebies, and promoting her latest podcast episodes of Nobody Wants To Work Tho. Additionally, Elyse shares her insights through her blog at Data.gal, where she delves into various data-related topics. Her literary contribution includes authoring Nube: Switch Into A Cloud Career, a guide for navigating cloud technology careers. Furthermore, she has established FullTuitionScholarships.org, an invaluable resource aimed at helping individuals avoid college debt. Elyse’s passions extend beyond her businesses; she is deeply enamored with Mexico, has an insatiable appetite for research, and is dedicated to assisting others in transitioning into technology careers.