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Data Literacy Part 2

The Data Literacy Process Framework is a structured approach to enhance individuals' and organizations' ability to understand and use data effectively for decision-making, involving steps such as planning, communication, assessment, culture development, prescriptive learning, and evaluation. Data Acquisition is the process of gathering data for analysis, consisting of three steps: Data Discovery, Data Augmentation, and Data Generation. Additionally, the document outlines key concepts related to data privacy, security, encryption, masking, web scraping, and data features.

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21 views2 pages

Data Literacy Part 2

The Data Literacy Process Framework is a structured approach to enhance individuals' and organizations' ability to understand and use data effectively for decision-making, involving steps such as planning, communication, assessment, culture development, prescriptive learning, and evaluation. Data Acquisition is the process of gathering data for analysis, consisting of three steps: Data Discovery, Data Augmentation, and Data Generation. Additionally, the document outlines key concepts related to data privacy, security, encryption, masking, web scraping, and data features.

Uploaded by

ruddra6311
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© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Data Literacy Process Framework

Copy work – Part 2

Short Notes :-

Data Privacy deals with how personal data is collected, shared and used.

Data Security deals with protection of personal data from unauthorised access
or from getting misused.

Encryption Security technique that transforms readable data(plain text) into an


unreadable format (cipher text)

Data Masking Security technique where original data is replaced with similar
but fake data.

Web Scraping Process of collecting data from websites using softwares.

Data Features are the characteristics or the properties of the data which is
required by data analysts or AI model to process and derivie insights.

Q1- What is Data Literacy Process Framework ? Explain its different steps.

The Data Literacy Framework is a structured approach that helps individuals


and organizations build the skills to understand, interpret, and use data
effectively for decision-making. Its steps are:

1. Plan – Identify goals, needs, and the level of data literacy required in the
organization or classroom before starting.
2. Communicate – Share the purpose, benefits, and importance of data
literacy with all stakeholders clearly.
3. Assess – Evaluate the current data literacy skills of individuals or groups
to know where they stand.
4. Develop Culture – Create an environment that encourages data-driven
thinking, curiosity, and trust in data.
5. Prescriptive Learning – Provide targeted training, resources, and tools
based on assessed needs.
6. Evaluate – Measure progress, check effectiveness of learning, and refine
the process for continuous improvement.

Q2- Define the term Data Acquisition. What are the three steps of Data
Acquisition?

Data Acquisition refers to the process of gathering data like raw facts , figures
or statistics from various sources so that it can be analyzed and used for
decision-making (in AI Project Cycle it is used for training the AI model)

Its three steps are :-

1. Data Discovery – Finding and gathering existing data by self-observation


or from available sources like databases, websites, or sensors.
2. Data Augmentation – Enhancing existing data by adding external or
complementary data to improve its quality and diversity. We transform
the already available data into different variations by changing its
properties .
3. Data Generation – Creating new data through experiments, simulations,
sensors or IoT devices when existing data is insufficient.

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