Day 10 Telling a story / your story with data

Telling a story/ your story with data.

Learning Target:

I can tell the difference between data privacy, data security and understand the limitations of collecting data.

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Options (20)

Breaking up with a significant other (boyfriend/ girlfriend/partner)

Asking for a raise at work

Meeting a friend for coffee

Discussing a project with a colleague

Attending a family gathering

Texting a friend to catch up

Sending a message to apologize

Notifying someone about a change in plans

Sharing a funny meme with a group chat

Asking for advice via text

Sending a newsletter to subscribers

Requesting feedback on a project

Notifying a client about a meeting

Following up on a job application

Sharing a document for review

Posting a travel vlog

Sharing a cooking tutorial

Going live for a Q&A session

Creating a dance challenge

Reviewing a product on stories

Communication Methods and Data Chart

By Text

By Email

In Person

Instagram/ TikTok/

Word Cloud

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Data ​

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and data security are two important concepts that are often confused. While they are related, they are not the ​

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thing. Data security focuses on protecting information from unauthorized access, use, and disclosure, as well as from disruption, modification, or destruction. Data privacy, on the other hand, is the ​

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to control who gets to see your personal information, such as credit card numbers and bank account balances.

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Think of it this way: data security is like a lock on your door, keeping ​

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people out. Data privacy is like deciding who gets a key to that lock. Data ​

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is about protecting the data itself, while data privacy is about controlling what others ​

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with the information after they have accessed it.

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Data privacy is also known as ​

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privacy, and it involves the proper handling, processing, storage, and usage of ​

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information. The focus is on the rights of individuals to control their own data. Data privacy laws and regulations, such as the General Data Protection Regulation (GDPR) in the European Union and the California Consumer Privacy Act (CCPA) in the United States, dictate how organizations should obtain consent from individuals ​

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or processing their personal data. These laws also explain how organizations should store and secure this data, and what ​

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individuals have in relation to their data, such as the right to access or delete their data.

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Data security is a crucial part of data privacy, but it is not the only aspect. Data protection goes beyond ​

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and encompasses policies, procedures, and technologies to ensure the ​

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and ethical use of data. This includes compliance with privacy laws, data minimization, obtaining consent for ​

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, and giving individuals control over their data.

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Both data security and data privacy are essential for protecting sensitive ​

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like identities, finances, or health records. Organizations need to ​

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data security and data protection measures to create a comprehensive strategy for safeguarding their ​

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in today’s digital landscape.

Multiple Choice

What is the main difference between data security and data privacy?

• Data security focuses on protecting information from unauthorized access, while data privacy focuses on controlling how personal information is used.

• Data security is about protecting data from being changed, while data privacy is about protecting data from being deleted.

• Data security is about protecting data from being lost, while data privacy is about keeping data secret.

Multiple Choice

What is the analogy used in the text to explain the difference between data security and data privacy?

• A lock on a door and a key to that lock

• A fence around a house and a gate in the fence

• A safe deposit box and a key to the safe deposit box

• A password and a username

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But data isn't always accurate or complete, and this can lead to ​

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. Imagine a company trying to understand how people are using their product. They might collect ​

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on how often people use the product, what features they use, and how long they spend using it. But this data might not tell the ​

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story. For example, the data might not capture how people ​

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about the product, or how they use it in different contexts.

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Think about how we use our phones. We might ​

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them to navigate, to communicate, to shop, and to entertain ourselves. But this data doesn't tell us how we ​

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about using our phones, or how they ​

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our lives. It's like looking at a picture of a person and trying to understand their personality. You can see what they look like, but you don't know anything about their thoughts, feelings, or ​

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.

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Data can be ​

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for many reasons. Sometimes, data is simply missing because it wasn't collected ​

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. Other times, data is missing because it was lost or corrupted. And sometimes, data is missing because people choose not to ​

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. This is especially true when it comes to personal information.

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Data quality is important because it helps to ensure that data is ​

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, complete, and consistent. This is important for making good ​

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, whether it's about business strategy, public policy, or personal choices. Data quality is often overlooked, but it's a ​

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in ensuring that data is useful and reliable.

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In conclusion, data is a powerful tool, but it's important to remember that it's not a ​

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representation of reality. Data can be incomplete, inaccurate, and biased. It's important to be aware of these ​

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when using data to make decisions. By understanding the limitations of data, we can make better use of it and avoid ​

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that are based on incomplete or inaccurate information.

Multiple Choice

 What is one reason why data might be incomplete?

• People might choose not to share their information.

• Companies might not be able to collect all the data they need.

• Data might be lost or corrupted.

• All of the above.

Multiple Choice

Why is data privacy important?

•  It helps to protect people's personal information.

• 
  It helps companies make more money.

• It helps to ensure that data is accurate.

• It helps to make sure that data is complete.