Do you believe?
J. Hathaway
hathawayj@byui.edu

Outline

  1. Introduce BYU-I analytics programs
  2. Data science at BYU-I
  3. What is data?
  4. How do we help people believe our story?

Introduction to Analytics

Aren’t we in statistics class?

It’s no wonder that statisticians feel threatened by data scientists. Statisticians deal with nebulous concepts like point estimates, margins of error, confidence intervals, standard errors, p-values, hypothesis testing, and the proverbial argument between the ‘frequentists’ and ‘Bayesians.’

Data scientists on the other hand, closely follow the ‘data science process’; data ingest, data transformation, exploratory data analysis, model selection, model evaluation, and data storytelling. Many more people can embrace data science. -reference

What is statistics?

Statistics was primarily developed to help people deal with pre-computer data problems like testing the impact of fertilizer in agriculture, or figuring out the accuracy of an estimate from a small sample. Data science emphasizes the data problems of the 21st Century, like accessing information from large databases, writing code to manipulate data, and visualizing data. reference

What is data science?

  1. Data gathering, preparation, and exploration.
  2. Data representation and transformation.
  3. Computing with data.
  4. Data modeling.
  5. Data visualization and presentation.
  6. Science about data science.

BYU-I Analytics Programs

  1. Data Science
  2. Business Analytics
  3. Geospatial Computing
  4. GeoBusiness and Data Analytics
  5. Bio-Informatics

Note: We have many other degrees that are analytical (e.g., economics, statistics, physics). The degrees listed are the interdisciplinary degrees.

BYU-I Data Science

Data Science Program

Student Interest in Data Science Major