UPDATED ACTUAL QUESTIONS AND
CORRECT ANSWERS
Data types - CORRECT ANSWER Different categories of data (e.g., quantitative, qualitative,
discrete, continuous).
Data structures - CORRECT ANSWER How data is organized (e.g., structured, unstructured,
wide, long).
Data formats - CORRECT ANSWER How data is presented (e.g., spreadsheets, databases).
Data sources - CORRECT ANSWER Origin of data (e.g., first-party, second-party, third-party,
open data).
Responsible data collection - CORRECT ANSWER Factors to consider, including bias,
credibility, and ethical practices.
Bias in data - CORRECT ANSWER Types of bias (e.g., sampling bias, interpretation bias) and
how to mitigate them.
Consent - CORRECT ANSWER Obtaining permission for data use.
Data anonymization - CORRECT ANSWER Protecting sensitive data.
Personally Identifiable Information (PII) - CORRECT ANSWER Data that can be used to
identify an individual.
Open data - CORRECT ANSWER Free access, usage, and sharing of data.
Data security - CORRECT ANSWER Protecting data from unauthorized access or misuse.
, Privacy principles - CORRECT ANSWER Freedom from inappropriate data use and the right
to data access.
Data transformation - CORRECT ANSWER Changing data's format or structure.
Data organization - CORRECT ANSWER Techniques for managing data.
Metadata - CORRECT ANSWER Data about data.
Data governance - CORRECT ANSWER Formal management of data assets.
Databases - CORRECT ANSWER Relational databases, tables, primary/foreign keys.
Data interpretation - CORRECT ANSWER Drawing insights from data.
Statistical concepts - CORRECT ANSWER Statistical power, significance, margin of error.
Data visualization - CORRECT ANSWER Presenting data visually (e.g., Venn diagrams).
Spreadsheet functions - CORRECT ANSWER Sorting, filtering, freeze headers, etc.
SQL basics - CORRECT ANSWER SELECT, WHERE, DISTINCT, CAST, COALESCE,
TRIM, CONCAT, LENGTH functions, and their uses.
Data management tools - CORRECT ANSWER Version control, foldering, logical hierarchy.
Data exploration - CORRECT ANSWER The initial process of reviewing and understanding a
dataset's content and structure.