Data Science

offered by Bethel School of Technology


Subjects:


 

01 Basic Statistics
Probability, Data Types, Common Distributions, Common Descriptive Statistics and Statistical Inference.

02 Databases
Foundational knowledge of database concepts, theory, and overview of various implementations and architectures.

03 Programming Foundations
Programming Foundations in a language heavily used in data science.

04 Statistical Programming
Basic scripting and data manipulation commands, introduction to a vast library of functions to perform various statistical analyses.

05 Data Visualization
Data wrangling and manipulation to meet the rigid requirements for analysis, graphical representation of data.

06 Metrics and Data Processing
Creation of new metrics to directly answer business questions, theory and practice of statistical process control.

07 Intermediate Statistics
Hypothesis testing under multiple scenarios, identification and verification of data requirements for hypothesis testing.

08 Introduction to Big Data
Foundational concept of Big Data and how to move from Big Data basic to more business-specific needs and requirements.

09 Machine Learning and Modeling
Determine the best methods for a given set of data, use of common software tools to utilize these methods.

10 Group Project
Work as a team in a scrum environment to cover tasks and progress collective and individually to meet project goals.

11 Bethel Kingdom Core Foundations
Identity, Intimacy, Supernatural Living, Kingdom Culture, Relationships, Bible, Leadership, and Honor.