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TN HS: CS.DA.1

CodeHS Lessons

Create computational models that represent the relationships among different elements of data collected from a phenomenon or process.

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13.1 Getting Started with Data
13.2 Visualizing and Interpreting Data
13.3 Data Collection & Limitations
14.1 Present a Data-Driven Insight
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13.1 Getting Started with Data
13.2 Visualizing and Interpreting Data
13.3 Data Collection & Limitations
14.1 Present a Data-Driven Insight
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10.1 Visualizing Weather Data
10.2 Visualizing Movie Data
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15.1 Getting Started with Data
15.2 Visualizing and Interpreting Data
15.3 Data Collection & Limitations
16.1 Present a Data-Driven Insight
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1.1 What is Data Science?
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1.1 What is Data Science?
1.2 Gathering Data
1.9 Using Functions
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1.1 What is Data Science?
1.2 Gathering Data
1.9 Using Functions
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12.2 Explore a New Sensor
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14.2 Explore a New Sensor
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9.2 Explore a New Sensor
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10.2 Explore a New Sensor
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3.2 Explore a New Sensor
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3.2 Explore a New Sensor
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1.8 Visualizing and Interpreting Data
1.9 Data Collection & Limitations
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15.2 Explore a New Sensor
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1.8 Visualizing and Interpreting Data
1.9 Data Collection & Limitations
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1.8 Visualizing and Interpreting Data
1.9 Data Collection & Limitations
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1.8 Visualizing and Interpreting Data
1.9 Data Collection & Limitations
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1.8 Visualizing and Interpreting Data
1.9 Data Collection & Limitations
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1.8 Visualizing and Interpreting Data
1.9 Data Collection & Limitations
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15.2 Explore a New Sensor
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1.8 Visualizing and Interpreting Data
1.9 Data Collection & Limitations
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13.1 Getting Started with Data
13.2 Visualizing and Interpreting Data
13.3 Data Collection & Limitations
14.1 Present a Data-Driven Insight
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1.8 Visualizing and Interpreting Data
1.9 Data Collection & Limitations
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1.8 Visualizing and Interpreting Data
1.9 Data Collection & Limitations
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10.2 Explore a New Sensor
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9.2 Visualizing and Interpreting Data
9.3 Data Collection & Limitations
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16.3 Present a Data-Driven Insight
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16.3 Present a Data-Driven Insight
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7.2 What is Data Science?
7.3 Gathering Data
7.10 Using Functions
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15.2 Explore a New Sensor
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1.8 Visualizing and Interpreting Data
1.9 Data Collection & Limitations
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15.2 Explore a New Sensor
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1.8 Visualizing and Interpreting Data
1.9 Data Collection & Limitations
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15.2 Explore a New Sensor
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1.8 Visualizing and Interpreting Data
1.9 Data Collection & Limitations
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15.2 Explore a New Sensor
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10.1 Getting Started with Data
10.2 Visualizing and Interpreting Data
10.3 Data Collection & Limitations
11.1 Present a Data-Driven Insight
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10.1 Getting Started with Data
10.2 Visualizing and Interpreting Data
10.3 Data Collection & Limitations
11.1 Present a Data-Driven Insight
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7.2 Explore a New Sensor
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1.8 Visualizing and Interpreting Data
1.9 Data Collection & Limitations
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15.2 Explore a New Sensor
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5.9 Visualizing and Interpreting Data
5.10 Data Collection & Limitations
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1.8 Visualizing and Interpreting Data
1.9 Data Collection & Limitations
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11.2 Data Collection & Limitations
11.3 Present a Data-Driven Insight
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9.2 What is Data Science?
9.3 Gathering Data
9.10 Using Functions
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15.2 Explore a New Sensor
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1.8 Visualizing and Interpreting Data
1.9 Data Collection & Limitations
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7.1 Getting Started with Data
7.2 Visualizing and Interpreting Data
7.3 Data Collection & Limitations
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15.2 Explore a New Sensor
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10.1 What is Data Science?
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7.2 Gathering Data
7.9 Using Functions
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10.1 What is Data Science?
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7.2 Gathering Data
7.9 Using Functions
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1.9 Visualizing and Interpreting Data
1.10 Data Collection & Limitations
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10.1 Getting Started with Data
10.2 Visualizing and Interpreting Data
10.3 Data Collection & Limitations
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3.1 What is Data Science?
3.3 Gathering Data
3.4 Visualizing and Interpreting Data
3.5 Data Collection & Limitations
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4.5 Visualizing and Interpreting Data
21.2 Visualizing and Interpreting Data
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1.8 Visualizing and Interpreting Data
1.9 Data Collection & Limitations
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15.2 Explore a New Sensor
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3.7 Explore a New Sensor
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12.1 Getting Started with Data
12.2 Visualizing and Interpreting Data
12.3 Data Collection & Limitations
13.1 Present a Data-Driven Insight
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4.1 Introduction to Predictive Models
4.2 Correlation
4.3 Programming Linear Regression
4.4 Training and Testing Data
4.5 Multivariable Linear Regression
4.6 Classification and Logistic Regression
4.7 Building Unsupervised Models
4.8 Creating Your Own Predictive Model
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15.2 Explore a New Sensor
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1.8 Visualizing and Interpreting Data
1.9 Data Collection & Limitations