My 5th Week In Eastern University's Master's In Data Science DTSC550

Week 5

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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

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

✍🏿 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: 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. 😴 I believe a lot can be cut out. Just give me the facts and move on.

💡 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

💪🏿 This is what I accomplished my fifth week in the DTSC 550 course:

📘 Chapter 10 goes over:

Estimating Unknown Quantities from a Sample

📘 Chapter 11 goes over:

Hypothesis Testing

📺 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

👀 Read these articles:

💯 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.

🔥 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.

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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.