Stats Major: Typical Day In The Life

Christian Gardner
13 Oct 202106:37
EducationalLearning
32 Likes 10 Comments

TLDRThe video script offers a candid look into the daily life of a statistics student at Penn State University. The student wakes up around 9:30 a.m., contrary to early morning routines, and begins their day with administrative tasks such as checking emails. With a full schedule, they balance six classes including Introduction to R, Time Series Analysis, and Stochastic Modeling, among others. The student emphasizes the importance of being comfortable with math, especially probability, and learning new technologies and coding languages for a career in statistics. The day involves attending classes, working on homework which includes exploratory data analysis on baby names from 1880 to 2013, and preparing for upcoming exams. The video provides insight into the challenges and workflow of a statistics major, along with a glimpse into their study habits and campus life.

Takeaways
  • 🛌 The speaker wakes up around 9:30 a.m. and is honest about not being an early riser.
  • 🚿 They mention the noise from pressure washing outside their apartment and plan to take a shower.
  • ☕ The speaker's morning routine includes having a cup of coffee or an energy drink.
  • 📧 They start their day with administrative tasks, checking school and work emails for important updates.
  • 📚 The speaker is taking six classes this semester, including Introduction to R, Time Series Analysis, and Stochastic Modeling.
  • 🔢 A key aspect of being a statistics student is being comfortable with math, especially probability, which is different from traditional math.
  • 💻 Learning new technologies and coding languages is essential for a statistics major, with mentions of R, Python, and Excel.
  • 🍳 After breakfast, the speaker plans to start their homework, which includes exploratory data analysis on a baby names dataset.
  • 🚌 The speaker's day includes going to campus for classes and later returning home.
  • 📈 In class, they discussed various statistical concepts such as data analysis with R, time series models, and the exponential distribution.
  • 🍲 After class, the speaker plans to make dinner and then study for two upcoming exams.
  • 📅 The video concludes with an invitation for viewers to comment on what else they'd like to see about the speaker's daily routine or life as a statistics student.
Q & A

  • What time does the person usually wake up?

    -The person usually wakes up around 9:30 a.m.

  • What is the main reason for the person to take a shower?

    -The person takes a shower to avoid the noise from pressure washing the side of their apartment.

  • What does the person usually have for an energy boost in the morning?

    -The person usually has a cup of coffee or an energy drink, specifically MIO Energy.

  • What administrative tasks does the person do in the morning?

    -The person checks their school and work emails to ensure there are no important tasks or assignments due for the day.

  • What are the three classes the person has on Wednesdays?

    -The three classes are Introduction to R, Time Series Analysis, and Stochastic Modeling.

  • How many classes is the person taking this semester?

    -The person is taking six classes this semester.

  • What are the two main things a statistics student needs to be comfortable with?

    -A statistics student needs to be comfortable with doing math, especially probability, and learning new technology and coding languages.

  • What assignment does the person have to work on?

    -The person has to work on an exploratory data analysis assignment using a list of baby names from the 1880s to 2013.

  • What does the person plan to do after having breakfast?

    -The person plans to start on their homework after having breakfast.

  • What topics were discussed in the person's classes?

    -Topics discussed included data analysis, grouping by variables, time series model estimation based on autocorrelation function, and properties of the exponential distribution.

  • What is the person's plan after returning home from class?

    -The person plans to make dinner, eat, and then study for two exams they have the next day.

  • Where does the person study as a statistics student?

    -The person studies as a statistics student at Penn State University.

Outlines
00:00
🛌 Morning Routine and Academic Honesty

The speaker starts their day around 9:30 a.m., opting for honesty over the typical claim of waking up early for studying and exercise. They mention the noise from pressure washing outside their apartment and plan to take a shower to avoid the disturbance. Afterward, they engage in administrative tasks, checking school and work emails for important updates or assignments. The speaker outlines their academic schedule, which includes six classes this semester, with a focus on data analytics, time series analysis, stochastic modeling, mathematical statistics, business analytics, and SAS. They acknowledge the intensity of their course load and share their approach to managing it. The speaker also offers advice for aspiring statistics students, emphasizing the need to be comfortable with math and learning new technologies and coding languages. They then discuss their current homework assignment, which involves exploratory data analysis on a baby names dataset from the 1880s to 2013.

05:05
📚 Campus Life and Exam Preparation

After attending classes, the speaker reflects on the day's academic discussions. In the 'Introduction to R' class, they covered data analysis techniques such as grouping and mutating variables. The 'Time Series Analysis' class focused on selecting a model for a time series based on its autocorrelation function, while the 'Stochastic Modeling' class explored the exponential distribution and its properties. Once home, the speaker plans to make dinner and then study for two upcoming exams. They conclude by inviting viewers to comment with any further questions about their daily routine or life as a statistics student at Penn State University, promising to address these in future content.

Mindmap
Keywords
💡Honesty
Honesty is the quality of being truthful and sincere. In the video, the speaker emphasizes the importance of honesty by stating they will 'keep it real' with the audience, implying that they will present their day-to-day life as it is, without exaggeration or deception. This sets the tone for the video, making it relatable and authentic.
💡Administrative Tasks
Administrative tasks refer to the routine and organizational activities required to run an organization or, in this case, manage one's personal affairs. The speaker mentions checking school and work emails as part of their morning routine, which is an example of handling administrative tasks. These tasks are crucial for staying on top of responsibilities and ensuring productivity.
💡Data Analytics
Data analytics is the process of examining raw data with the goal of drawing insights, making informed decisions, and solving problems. The video discusses an 'Introduction to R' class where the R coding language is used for basic data analytics and data science. This keyword is central to the video's theme, as it highlights the technical skills required for a career in statistics.
💡Time Series Analysis
Time series analysis is a statistical technique used to analyze time series data and extract meaningful statistics and characteristics of the data. The speaker's class on this topic is indicative of the advanced statistical methods they are learning, which is relevant to the video's theme of portraying a day in the life of a statistics student.
💡Stochastic Modeling
Stochastic modeling involves the use of probability theory to model random processes. The speaker finds this class particularly interesting, as it deals with the complexities of randomness in statistical modeling. This keyword is significant as it represents a core concept in the field of statistics that the speaker is studying.
💡Mathematical Statistics
Mathematical statistics is a branch of statistics that deals with the mathematical foundations of statistical methods. The speaker mentions taking a course in this subject, which is fundamental to their education as a statistics student. It underscores the mathematical rigor required in their field of study.
💡Business Analytics
Business analytics involves the use of data, statistical algorithms, and business knowledge to predict and drive better business decisions. The speaker is taking an 'Introduction to Business Analytics' course, which suggests an interdisciplinary approach to their studies, combining statistical methods with business applications.
💡SAS
SAS is a statistical software suite used for data management, advanced analytics, multivariate analysis, business intelligence, criminal investigation, and predictive analytics. The speaker's mention of an 'Introduction to SAS' course indicates their exposure to industry-standard tools, which is essential for practical application of statistical knowledge.
💡Exploratory Data Analysis
Exploratory data analysis is an approach to analyze data to summarize its main characteristics, often using visual methods. The speaker discusses a homework assignment involving exploratory data analysis on a baby names dataset. This keyword is directly related to the video's theme, showcasing a practical application of statistical methods.
💡Probability
Probability is a branch of mathematics that deals with the analysis of random phenomena. The speaker mentions becoming comfortable with probability as a key aspect of their studies, which is a fundamental concept in statistics and is essential for understanding the underlying uncertainty in data.
💡Coding Languages
Coding languages, such as R and Python mentioned in the video, are essential tools for a statistics student to analyze and interpret data. The speaker's experience with learning new coding languages is indicative of the technical skills required in their field, and it highlights the interdisciplinary nature of modern statistical practice.
Highlights

The speaker admits to waking up around 9:30 a.m., not at 5:00 a.m., and aims for an honest day in the life vlog.

They mention the noise from pressure washing outside their apartment and plan to take a shower to avoid the disturbance.

The speaker's morning routine includes checking school and work emails for important tasks or assignments.

They have three classes on Wednesdays: Introduction to R, Time Series Analysis, and Stochastic Modeling.

Introduction to R focuses on using the R coding language for data analytics and data science.

Time Series Analysis involves studying models that estimate time series based on their autocorrelation function.

Stochastic Modeling class explores modeling random processes using statistical methods, which the speaker finds most interesting.

The speaker is taking a total of six classes this semester, some of which are the hardest they've encountered in their major.

They provide advice for aspiring statistics students: be comfortable with math, especially probability, and learning new technologies and coding languages.

The speaker has to learn R, Python, and Excel for their studies, which was unexpected but is becoming a part of their comfort zone.

Their current homework involves exploratory data analysis on a baby names dataset from the 1880s to 2013.

After breakfast, the speaker plans to start their homework and aims to complete most of it before their next class.

The speaker discusses their experience in class, including topics covered in Introduction to R and Time Series Analysis.

They mention the properties of the exponential distribution discussed in their Stochastic Modeling class.

The speaker's evening routine includes making dinner, eating, and studying for two upcoming exams.

The vlog concludes with the speaker inviting comments and questions about their daily routine and life as a statistics student at Penn State University.

Transcripts

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