Week 5

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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
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Looking for DTSC 550 week 3? Week 3
Looking for DTSC 550 week 4? Week 4
Looking for DTSC 550 week 6? Week 6

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

  • Describe the difference between samples and populations and how they are connected
  • Describe why sampling distributions are useful and connected to estimating a population
  • Describe the Central Limit Theorem and its importance
  • Calculate and define standard error and confidence intervals
  • Describe why standard error is needed even though we have standard deviation
  • Articulate how hypothesis testing works, and its limitations
  • Describe significance testing, and its limitations
  • Describe how effect size, sample size, alpha, and power work together

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

๐Ÿ“˜ Chapter 10 goes over:

  • Estimating Unknown Quantities from a Sample

๐Ÿ“˜ Chapter 11 goes over:

  • Hypothesis Testing

๐Ÿ“บ Videos watched (some videos have a 1 question quiz at the end):

  • Hypothesis Testing Part 1: Sampling
  • Hypothesis Testing Part 2: Hypotheses
  • Data Collection Principles
  • 0.05
  • TestStatistics
  • Effect Size and Power
  • Type I and II Errors
  • Standard Error
  • Confidence Intervals
  • One and Two-Tailed Tests

๐Ÿ‘€ Read these articles:

๐Ÿ’ฏ Exam

  • Module exam had 26 questions: fill in the blank, true/false, and multiple choice with one answer. It was heavy on true/false which was nice. This test looked easy but was difficult even with the true/false questions. Tricky wording! No 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 7 times: 53.7, 66.67, 62.96, 75.93, 87.04, 94.44. Final score was 100%. No questions missed! I’m done with that!
  • You have until the end of the semester to take all your exams.

๐Ÿ”ฅ Summary

  • Chapter 10 is missing images so hindered there. The chapter is relatively short and easy to digest. The book is easy to read but it has so many typos it’s ridiculous.
  • So far my grade in the course is 88.72% which equals a B+ or 3.3 GPA. I want a 3.7 GPA (A-) at least for my first course so I’ll see how my final two exams go.
  • I have to play catch up this weekend because I took a week off for vacation.

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 3? Week 3
Looking for DTSC 550 week 4? Week 4
Looking for DTSC 550 week 6? Week 6


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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.