Common Planner
K–12 Standards

Data Science I (11.08100) (2021)

Other Georgia CTAE sets

Demonstrate how Data Science can be used to impact school, work, and leisure timeDS1-1

  • 1.

    Demonstrate how data science impacts their lives.DS1-1.1

  • 2.

    Identify and differentiate between different data governance standards.DS1-1.2

  • 3.

    Identify ethical issues in data science.DS1-1.3

  • 4.

    Give examples of how Data Science is used in the real worldDS1-1.4

  • 5.

    Identify and compare potential bias issues in data scienceDS1-1.5

Explore, research, and present findings on data science careersDS1-2

  • 1.

    Research post-secondary options for data science careers, including industry certifications, college options and organizational training.DS1-2.1

  • 2.

    Identify and distinguish different skills sets used in data scienceDS1-2.2

  • 3.

    Identify different job opportunities within the data science field and how such job types are interrelatedDS1-2.3

Formulate Questions to Clarify the problem at hand and formulate 1 or more questions that can be answered with data analysisDS1-3

  • 1.

    Identify the objectives of data and information managementDS1-3.1

  • 2.

    Determine whether a problem involves categorical or quantitative dataDS1-3.2

  • 3.

    Frame a statistical question of interest in terms of measurable dataDS1-3.3

Design and implement a plan to collect appropriate data to answer a research questionDS1-4

  • 1.

    Define "spreadsheet" and "database" and describe ways they may be used.DS1-4.1

  • 2.

    Describe the factors that must be considered in distributing data effectively and how a simple model can be used to obtain at least a first-cut distributionDS1-4.2

Analyze data by selecting appropriate graphical and numerical methodsDS1-5

  • 1.

    Implement spreadsheet functions (i.e., preset formulas), formulas, conditional formatting, cell referencing, and pivot tables.DS1-5.1

  • 2.

    Create data tables and graphical representations of data including two-way tables, scatterplots, bar graphs, histograms, stem plots and dot plots from a spreadsheet software.DS1-5.2

  • 3.

    Describe the characteristics of data tables and how they benefit end user experiencesDS1-5.3

Identify the general concepts of databases/data tools and how to utilize design thinking to produce solutions that are clean and thoughtful.DS1-6

  • 1.

    Identify and distinguish between variations of techniques (Artificial Intelligence, Machine Learning, etc.)DS1-6.1

  • 2.

    Provide definitions of key terms and concepts that describe the database environmentDS1-6.2

  • 3.

    Describe and build the major components of the database environment and explain how these components interact with each otherDS1-6.3

  • 4.

    Assess end user data and information requirements and develop a logical model to fit those requirementsDS1-6.4

Build a database based on designed model, identify implementation policies and procedures, and establish plans for testing/debugging a data science solution.DS1-7

  • 1.

    Describe a Database Management System Language (DMBS) like SQL and summarize its basic operators.DS1-7.1

  • 2.

    Formulate single table DMBS (SQL) queries.DS1-7.2

  • 3.

    Formulate DMBS (SQL) queries that use functions.DS1-7.3

  • 4.

    Use of the group by and order by clauses in DMBS (SQL) queriesDS1-7.4

Deploy a data science solution in a production environment, follow implementation procedures, and develop a plan for long term maintenance.DS1-8

  • 1.

    Describe the differences between the process of deployment and implementation of a solution.DS1-8.1

  • 2.

    Understand the components and key steps to a successful deploymentDS1-8.2

  • DS1-9.

    Analyze results by interpreting the information provided by the data analysis and how its interpretation supports possible answers to the question or problem being investigated.DS1-9

  • 1.

    Utilize visual reporting and statistic tools to perform 1 and 2 sample t-tests and linear regression testing using technology (not by hand)DS1-9.1

  • 2.

    Summarize results.DS1-9.2

  • 3.

    Identify and express areas for further study or investigation based on the analysis of dataDS1-9.3

  • 4.

    Create a simple dashboard with appropriate tables and charts to show the data that is being analyzedDS1-9.4

Frequently asked questions

What grade levels do these standards cover?
Grade 9, Grade 10, Grade 11, and Grade 12
When were these standards adopted?
2021

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