DSJr x 9-12
Train with real data scientists!
Interactive and hands-on lessons on data science using real-world examples
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Develop skills in data collection, cleaning, visualization, and analysis using industry-standard software(eg. Tableau).
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Designed for kids comfortable with algebra. No prior coding skill is required.
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Each level consists of 5 one-hour online synchronous lessons, plus daily homework assignments.
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A total of 5 levels (i.e., a total of 25 contact hours).​
dsjr Level1
Introduction
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the data table
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identification of basic data issues
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introduction to visualization
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data calculation
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introduction to analytical models
Students will complete a class project together
dsjr Level 2
intermediate
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reinforcement of skills and concepts from Level-1
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identification of additional data issues
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basic data transformation
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bivariate visualization
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process automation
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Students will complete a class project together
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dsjr level 3
advanced
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reinforcement of skills and concepts from Level-2
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identification of advanced data issues
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advanced data transformation
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complex visualization
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data analysis
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advanced process automation
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Students will complete independent projects and present on last day
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Machine learning 1
mr with scratch
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Distinguish Machine Learning from traditional coding
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Describe the process of learning
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Calculate learning performance using Mean Absolute Error and Confusion Matrix
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Discuss confidence in prediction
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Experience a classification application (Titanic)
machine learning 2
ml to ai
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Experience a more complex classification application (Zombie Hotel)
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Examine the algorithmic inner workings of a simple neural network
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Use confusion matrix to monitor learning progress
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Experience applications in the vision, sound and motion domains