Course 3: Module 4

Question 1

Benefits of organizing data

Answer 1

• Makes it easier to find and use
• Helps you avoid making mistakes during your analysis
• Helps to protect your data

Question 2

Best practices when organizing data

Answer 2

• Naming conventions
  -Foldering
• Archiving older files
• Align your naming and storage practices with your team
• Develop metadata practices

Question 3

Naming conventions

Answer 3

Consistent guidelines that describe the content, date, or version of a file in its name

Question 4

Think about how often you’re making copies of data and storing it in different places

Question 5

Encryption

Answer 5

uses a unique algorithm to alter data and make it unusable by users and applications that don’t know the algorithm. This algorithm is saved as a “key” which can be used to reverse the encryption; so if you have the key, you can still use the data in its original form.

Question 6

Tokenization

Answer 6

replaces the data elements you want to protect with randomly generated data referred to as a “token.” The original data is stored in a separate location and mapped to the tokens. To access the complete original data, the user or application needs to have permission to use the tokenized data and the token mapping.

Question 7

Version control

Answer 7

enables all collaborators within a file to track changes over time. You can understand who made what changes to a file, when they were made, and why.

Question 8

A professional online presence can

Answer 8

• Help potential employers find you
• Make connections with other analysts
• Learn and share data findings
• Participate in community events