Overview

OverviewIn this all hands-on project course, students get their first real experience of data science by playing the role of a professional data scientist. The course starts off with a couple of hands-on spreadsheet table assignments to get students equipped with basic skills on working with data, using Google Sheets (or Excel). We then jump right into the independent data science student project-Data Science Project: Understanding My Community Better-in which the students aim to study how their chosen local community compares to everyone else, with respect to a chosen topic. They will do the work involved in every stage of data science: problem statement and research, setting up online surveys, raw data collection, data organization and cleaning, data analysis using formulas and charts, and finally identifying and presenting results.HighlightsSchool computer curriculum ready - Suitable for a 20-week middle or high school term For teacher curriculum bundle see Termeric Education website.Classroom-tested - This course was taught in a 20-week semester for 9th graders in a real school. The content level and volume is appropriate and suitable for a typical 20-week school semester, for all junior or high school grades. Each unit below could span 1-2 weeks in a real classroom setting.Practice working with data in Google Sheet or Excel spreadsheetsFor Grade 8+ or Adults!11 units (~20 Weeks)2 assignments1 independent student data science projectLecture slides and other resourcesSectionsSection 1: LecturesUnit 1Role of Data in Digital WorldUse Cases of Data ScienceStages of Data ScienceUnit 2Spreadsheet Table BasicsTypes of DataHomework 1: Create Excel Table: Nutrition Data of Your 5 Favorite Fruit PicksUnit 3Spreadsheet FormulasSpreadsheet ChartsHomework 2: Analyze Your 5 Favorite Fruits DataSection 2: Data Science Student ProjectUnit 4Data Science Project OverviewResearch Area SelectionResearch Topic SelectionProblem Statement SelectionUnit 5Select 2 Questions for Online PollsUnit 6Set Up Online PollsUnit 7Collect Raw DataOrganize Data in a TableUnit 8Clean DataSort DataUnit 9Analyze DataUse Formulas and ChartsUnit 10Identify ResultsUnit 11Present Results

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