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Arkansas Introduction to Computer Science

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Python Basics and Console Interaction

1.1 Printing in Python

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1.2 Variables and Types

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1.3 User Input

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1.4 Mathematical Operators

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1.5 Errors and Debugging

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1.6 String Operators

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1.7 Comments

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1.8 Programming Languages

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1.9 Basic Python and Console Interaction Quiz

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Python Conditionals

2.1 Booleans

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2.2 If Statements

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2.3 Comparison Operators

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2.4 Logical Operators

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2.5 Floating Point Numbers and Rounding

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2.6 Conditionals Quiz

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Python Looping

3.1 While Loops

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3.2 For Loops

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3.3 Break and Continue

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3.4 Nested Control Structures

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3.5 Looping Quiz

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Python Functions and Exceptions

4.1 Functions

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4.2 Functions and Parameters

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4.3 Namespaces in Functions

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4.4 Functions and Return Values

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4.5 Exceptions

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4.6 Functions Quiz

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Python Data Structures

5.1 Tuples

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5.2 Lists

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5.3 For Loops and Lists

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5.4 List Methods

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5.5 Creating and Altering Data Structures Quiz

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Python File I/O

6.1 What is File I/O

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6.2 Reading Character from File

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6.3 Reading Line from File

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6.4 Reading All Lines from File

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6.5 Writing to File

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6.6 Move File Pointer Position

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6.7 File I/O Quiz

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The Data Science Life Cycle

7.1 What is Data Science?

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7.2 The Data Science Life Cycle

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7.3 Spreadsheet Basics

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7.4 Data Cleaning

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7.5 Sort and Filter

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7.6 Data Visualizations

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7.7 Correlations

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7.8 Pivot Tables

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7.9 Statistical Measures

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7.10 The Data Science Life Cycle Quiz

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Data Ethics

8.1 Data Privacy

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8.2 Big Data and Bias

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8.3 Responsible Data Science

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8.4 Data Storytelling

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8.5 Final Project

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Cybersecurity and You

9.1 Cyber Ethics and Laws

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9.2 Personal Data Security

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9.3 Cybersecurity Essentials

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9.4 Common Cyber Attacks and Prevention

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9.5 Cybersecurity and You Quiz

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Emerging Technology

10.1 Cryptography: Then, Now, and Future

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10.2 Human & Artificial Intelligence

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10.3 Generative vs. Predictive AI

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10.4 Project: AI in My Life

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10.5 Cloud Computing

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10.6 Edge Computing

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10.7 Impact of the Internet

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10.8 Blockchain Technology

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10.9 Emerging Technology Quiz

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Training AI Models

11.1 How Are AI Models Trained?

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11.2 AI Models in Industry

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11.3 Bias in Training

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11.4 Ethics and AI

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11.5 Project: Ethics Case Study

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11.6 Training AI Models Unit Quiz

System Administration

12.1 Operating Systems

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12.2 Comparing Operating Systems

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12.3 Compatibility

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12.4 Software and Applications

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12.5 Software Licenses

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12.6 Application Security

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12.7 System Administration

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12.8 System Administration Quiz

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IT Concepts

13.1 Computers Speak Binary

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13.2 Bits, Text, and Numbers

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13.3 Encoding Images in Binary

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13.4 What is the Internet?

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13.5 IP Addresses

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13.6 Routing and Packets

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13.7 How Do Websites Work?

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13.8 OSI Model

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13.9 IT Concepts Quiz

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IT Infrastructure

14.1 Internal Components

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14.2 Peripheral Devices

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14.3 Storage Options

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14.4 Network Devices

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14.5 Network Options

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14.6 IT Infrastructure Quiz

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Professional Skills

15.1 Student Organizations

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15.2 Resume and Interview Prep

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15.3 Portfolios

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Introduction to Programming with Turtle Graphics

16.1 Intro to Python with Tracy the Turtle

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16.2 Tracy's Grid World

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16.3 Turning Tracy

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16.4 For Loops

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16.5 Turning Tracy Using Angles

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16.6 Comments

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16.7 Naming Guidelines

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16.8 Functions

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16.9 Artistic Effects

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16.10 Top Down Design

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16.11 Variables

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16.12 User Input

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16.13 Parameters

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16.14 Using i in For Loops

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16.15 Extended Loop Control

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16.16 If Statements

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16.17 If/ Else Statements

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16.18 While Loops

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16.19 Putting Together Control Structures

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16.20 Intro to Programming with Turtle Graphics Quiz

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Karel in Python

17.1 Introduction to Programming With Karel

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17.2 More Basic Karel

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17.3 Karel Can't Turn Right

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17.4 Functions in Karel

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17.5 Top Down Design and Decomposition in Karel

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17.6 Commenting Your Code

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17.7 Abstraction

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17.8 Super Karel

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17.9 For Loops

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17.10 If Statements

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17.11 If/Else Statements

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17.12 While Loops in Karel

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17.13 Control Structures Example

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17.14 Debugging Strategies

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17.15 Algorithms

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17.16 Ultra Karel

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17.17 Karel Challenges

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17.18 Introduction to Programming Quiz

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The Data Science Life Cycle (Python Programming)

18.1 What is Data Science?

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18.2 Gathering Data

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18.3 Exploring Data Using Python

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18.4 Modules, Packages & Libraries

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18.5 Series and Central Tendency

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18.6 Measures of Spread

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18.7 Pandas DataFrames

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18.8 Selecting Columns

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18.9 Using Functions

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18.10 Mini-Project: Findings

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18.11 The Data Science Life Cycle Quiz

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Data Storytelling (Python Programming)

19.1 Data Storytelling

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19.2 Data for Your Story

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19.3 Data Cleaning

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19.4 Data Visualizations

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19.5 Line and Bar Charts

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19.6 Normal Distribution

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19.7 Explore Univariate Data

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19.8 Trends and Correlations

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19.9 Linear Regression

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19.10 Explore Bivariate Data

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19.11 Telling Your Story

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