Data Science

• Course #3183
• 1 Credit/Math 
• 36 Weeks
• Prerequisites: Two (2) high school math credits (including the successful completion of Algebra 1)

Description
This course is an introduction to the learning principles associated with analyzing big data. Students will:

• Identify and explore problems that involve the use of relational database concepts and data-intensive computing to find solutions and make generalizations
• Engage in a data science problem-solving structure to interact with large data sets as a means to formulate problems, collect and clean data, visualize data, model using data, and communicate effectively about data formulated solutions
• Use spreadsheets, CODAP, and programming in Python as tools to organize and clean data, create visualizations, model, predict and analyze large data sets