Data Science

Data fluency is becoming increasingly important for success in the modern world and has also become a major feature in standardized testing with the proportion of data related questions increasing significantly in the SAT over recent years. Data Science introduces students to the main ideas in data science through free tools such as Google Sheets, Python and Data Commons. Students will learn to be data explorers in project-based units, through which they will develop their understanding of data analysis, sampling, correlation/causation, bias and uncertainty, probability, modeling with data, making and evaluating data-based arguments, the power of data in society, and more! 

Unit 1: Data Tells a Story

Week 1: Variability: What are variability, data, and models?  How can I use data to tell as story?  What is data ethics?

Week 2: Data Ethics: What are variability, data and models?  How can I use data to tell a story?  What is data ethics?

Week 3: Data Representations:  How can I use data to tell a story?  How do I create a visual representation of my data?  How do I model with data?

Week 4: Model, Analyze, and Synthesize Data: How can I use data to tell a story?  How do I create a visual representation of my data?  How do I model with data?

• Me and the Bees Business Report due September 23rd.

Unit 2: The Data of Our Community

Week 1: How can univariate data be described and visualized? How can you tell a story with univariate data?

Week 2: How can univariate data be described and visualized? How can you compare data distributions?

Week 3: How can univariate data be described and visualized? How can you compare data distributions?

• Learning from Data Distributions project due October 14th.

Unit 3: Water in Your Life

Week 1: What is data and what is it good for? What can you do with data? - Line of Fit

Week 2: What is data and what is it good for? What can you do with data? - Correlation Coefficient

Week 3: What is data and what is it good for? What can you do with data? - Correlation vs. Causation

• Population and Water Usage In Cities project due November 11

Unit 4: Shuffling Songs

Week 1: Do the genres you hear played on shuffle represent the genres of the songs in our playlist? - Probability and Shuffling Songs

Week 2: Do the genres you hear played on shuffle represent the genres of the songs in our playlist? - Programming With Python

Week 3: Do the genres you hear played on shuffle represent the genres of the songs in our playlist? -  More Python

Week 4:  Do the genres you hear played on shuffle represent the genres of the songs in our playlist? - Using our Model to Communicate results

• Shuffling Songs project due January 13

Students can expect the following from the teacher concerning the following:

• Come to class prepared with all necessary course materials, this includes a graphing calculator (Ti-83/84/89/N-spire).

• Check Google Classroom on a daily basis for assignments, documents, etc. Contact teacher if unable to access it.

• Master standards relevant to each unit of study.

• Complete and submit assessments on time.

• Work effectively in collaborative groups.

• Contribute positively to the classroom and class discussions.

• Show kindness, open-mindedness, and respect to peers.

• Seek appropriate help when needed.

• Follow Check-in retake procedures. Submit all homework, book appointment with your teacher and wait for it to be accepted.

• Leave your space tidy when you exit the room.

Students can expect the following from the teacher concerning the following:

• GOOGLE CLASSROOM - All assignments will be posted in Google Classroom. If you are having trouble locating it, contact the teacher.

• RUBRICS AND POLICIES - Once posted here they should not change. However, if a change is necessary the teacher will inform students well in advance and will clearly mark the changes.