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Your students can change the world someday by understanding now what analyzing data is and how to do it. To get started, though, your knowledge and skillset need to be sufficient to teach it, and you'll need to equip your current curriculum to include it. Using a program geared toward high school and middle school teachers like yourself, will ensure that you receive the relevant information and basic skills for starting to teach data analysis.

  • Money in hand icon

    Est. Tuition $695

  • Computer and user icon

    Learning Format Online

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    Duration 3 weeks *

    *Duration times can vary talk to your student success coach for more information.
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    Total Units 6 Units

  • Introductory data science applications and use
  • Methods for introducing data analysis into a high school curriculum and STEM topics
  • Refresher lessons on key mathematical principles, such as probably, statistics, and linear algebra
  • An emphasis on the mathematical principles behind data science, such as linear algebra, Bayesian methods, and probability theory
  • Data manipulation, organization, and query skills
  • Basic programming and visualization in Python
  • High school teachers wanting to learn more about data science applications
  • Middle school educators with a strong background in mathematics
  • Educators who have completed the Credential Authorization in Computer Science or the Supplementary Authorization in Mathematics
  • School and district administrators wanting to develop a data science curriculum and pathway for high school students

Required Courses

Course Formats
Course Schedules are Subject to Change
Required (6 Units )
 
WinterSpringSummerFall
Introduction to Applied Data Science for High School TeachersA course in introductory applied data science to provide the necessary knowledge in data science for high school teachers.
4 Units
Introduction to Python, Data Preparation, and VisualizationPython programming, among the most powerful and widely-used tools by data scientists today, is used in each step of the data science process.
2 Units
 

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