WGU D465 TEST PREP COURSEWORK SCRIPT STUDY SHEET 2026 GRADED A+., Exams of MS Microsoft Excel skills

WGU D465 TEST PREP COURSEWORK SCRIPT STUDY SHEET 2026 GRADED A+.

Typology: Exams

2025/2026

Available from 12/15/2025

HighMark_Prep
HighMark_Prep 🇺🇸

5

(3)

27K documents

1 / 34

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
WGU D465 TEST PREP COURSEWORK
SCRIPT STUDY SHEET 2026 GRADED A+.
CASE. Answer: A SQL statement that returns records that meet
conditions by including an if/then statement in a query
CAST. Answer: A SQL function that converts data from one
datatype to another
Causation. Answer: When an action directly leads to an outcome,
such as a cause-effect relationship
Cell reference. Answer: A cell or a range of cells in a worksheet
typically used in formulas and functions
Ruby. Answer: An object-oriented programming language for web
application development
Sample. Answer: In data analytics, a segment of a population that
is representative of the entire population
Sampling bias. Answer: Overrepresenting or underrepresenting
certain members of a population as a result of working with a sample
that is not representative of the population as a whole
pf3
pf4
pf5
pf8
pf9
pfa
pfd
pfe
pff
pf12
pf13
pf14
pf15
pf16
pf17
pf18
pf19
pf1a
pf1b
pf1c
pf1d
pf1e
pf1f
pf20
pf21
pf22

Partial preview of the text

Download WGU D465 TEST PREP COURSEWORK SCRIPT STUDY SHEET 2026 GRADED A+. and more Exams MS Microsoft Excel skills in PDF only on Docsity!

WGU D465 TEST PREP COURSEWORK

SCRIPT STUDY SHEET 2026 GRADED A+.

⫸ CASE. Answer: A SQL statement that returns records that meet conditions by including an if/then statement in a query ⫸ CAST. Answer: A SQL function that converts data from one datatype to another ⫸ Causation. Answer: When an action directly leads to an outcome, such as a cause-effect relationship ⫸ Cell reference. Answer: A cell or a range of cells in a worksheet typically used in formulas and functions ⫸ Ruby. Answer: An object-oriented programming language for web application development ⫸ Sample. Answer: In data analytics, a segment of a population that is representative of the entire population ⫸ Sampling bias. Answer: Overrepresenting or underrepresenting certain members of a population as a result of working with a sample that is not representative of the population as a whole

⫸ Scatterplot. Answer: A data visualization that represents relationships between different variables with individual data points without a connecting line ⫸ Schema. Answer: A way of describing how something, such as data, is organized ⫸ Scope of work (SOW). Answer: An agreed-upon outline of the tasks to be performed during a project ⫸ Second-party data. Answer: Data collected by a group directly from its audience and then sold ⫸ SELECT. Answer: The section of a query that indicates from which column(s) to extract the data ⫸ SELECT INTO. Answer: A SQL clause that copies data from one table into a temporary table without adding the new table to the database ⫸ Small data. Answer: Small, specific data points typically involving a short period of time, which are useful for making day-to-day decisions ⫸ SMART methodology. Answer: A tool for determining a question's effectiveness based on whether it is specific, measurable, action- oriented, relevant, and time-bound

⫸ Spotlightling. Answer: Scanning through data to quickly identify the most important insights ⫸ Spreadsheet. Answer: A digital worksheet ⫸ SQL. Answer: (Refer to Structured Query Language) ⫸ Stakeholders. Answer: People who invest time and resources into a project and are interested in its outcome ⫸ Static data. Answer: Data that doesn't change once it has been recorded ⫸ Static visualization. Answer: A data visualization that does not change over time unless it is edited ⫸ Statistical power. Answer: The probability that a test of significance will recognize an effect that is present ⫸ Statistical significance. Answer: The probability that sample results are not due to random chance ⫸ Statistics. Answer: The study of how to collect, analyze, summarize, and present data

⫸ Story. Answer: The narrative of a data presentation that makes it meaningful and interesting ⫸ String data type. Answer: A sequence of characters and punctuation that contains textual information (also called text data type) ⫸ Structural metadata. Answer: Metadata that indicates how a piece of data is organized and whether it is part of one or more than one data collection ⫸ Structured data. Answer: Data organized in a certain format such as rows and columns ⫸ Structured Query Language. Answer: A computer programming language used to communicate with a database ⫸ Structured thinking. Answer: The process of recognizing the current problem or situation, organizing available information, revealing gaps and opportunities, and identifying options ⫸ Subquery. Answer: A SQL query that is nested inside a larger query ⫸ SUBSTR. Answer: A SQL function that extracts a substring from a string variable

⫸ Tableau. Answer: A business intelligence and analytics platform that helps people visualize, understand, and make decisions with data ⫸ Technical mindset. Answer: The ability to break things down into smaller steps or pieces and work with them in an orderly and logical way ⫸ Temporary table. Answer: A database table that is created and exists temporarily on a database server ⫸ Text data type. Answer: A sequence of characters and punctuation that contains textual information (also called string data type) ⫸ Text string. Answer: A group of characters within a cell, most often composed of letters ⫸ Third-party data. Answer: Data provided from outside sources who didn't collect it directly ⫸ Time-bound question. Answer: A question that specifies a timeframe to be studied ⫸ Transaction transparency. Answer: The aspect of data ethics that presumes all data-processing activities and algorithms should be explainable and understood by the individual who provides the data

⫸ Transferable skills. Answer: Skills and qualities that can transfer from one job or industry to another ⫸ TRIM. Answer: A function that removes leading, trailing, and repeated spaces in data ⫸ Turnover rate. Answer: The rate at which employees voluntarily leave a company ⫸ Typecasting. Answer: Converting data from one type to another ⫸ Unbiased sampling. Answer: When the sample of the population being measured is representative of the population as a whole ⫸ Underscores. Answer: Lines used to underline words and connect text characters ⫸ Unfair question. Answer: A question that makes assumptions or is difficult to answer honestly ⫸ Unique. Answer: A value that can't have a duplicate ⫸ United States Census Bureau. Answer: An agency in the U.S. Department of Commerce that serves as the nation's leading provider of quality data about its people and economy

⫸ Visualization. Answer: (Refer to Data visualization) ⫸ VLOOKUP. Answer: A spreadsheet function that vertically searches for a certain value in a column to return a corresponding piece of information ⫸ WHERE. Answer: The section of a query that specifies criteria that the requested data must meet ⫸ Wide data. Answer: A dataset in which every data subject has a single row with multiple columns to hold the values of various attributes of the subject ⫸ WITH. Answer: A SQL clause that creates a temporary table that can be queried multiple times ⫸ World Health Organization. Answer: An organization whose primary role is to direct and coordinate international health within the United Nations system ⫸ X-axis. Answer: The horizontal line of a graph usually placed at the bottom, which is often used to represent time scales and discrete categories

⫸ Y-axis. Answer: The vertical line of a graph usually placed to the left, which is often used to represent frequencies and other numerical variables ⫸ ORDER BY. Answer: A SQL clause that sorts results returned in a query. ⫸ TRUE STATEMENT. Answer: ASCENDING ORDER. ⫸ FALSE STATEMENT. Answer: DESCENDING ORDER. ⫸ =CONVERT(-37, "C", "F"). Answer: Proper formatting for conversion. ⫸ Data Validation. Answer: Adds dropdown lists with predetermined options (lists of items). ⫸ SAFE_CAST. Answer: Returns a value of Null instead of an error when a query fails. ⫸ AS. Answer: Comes before and identifies the data type which you are casting to. ⫸ STRING. Answer: Indicates that you are converting the data to a string.

⫸ WS. Answer: WITH SEPARATOR. ⫸ TEXT STRINGS. Answer: A group of characters within a cell, most often composed of letters. ⫸ CONCAT function. Answer: To combine fields. ⫸ RIGHT. Answer: Selects a specific number of characters on the right side of a cell. ⫸ LEFT. Answer: Selects a specific number of characters on the left side of a cell. ⫸ ROUND. Answer: Limits records to a certain number of decimal places. ⫸ CONVERT. Answer: Changes the unit of measurement of a value in data. ⫸ JOIN. Answer: Combine rows from two or more tables based on a related column. ⫸ MOD. Answer: Changes numbers from positive to negative for data analysis.

⫸ =VALUE (A2:A4). Answer: Example of using the VALUE function. ⫸ =TRIM. Answer: Gets rid of extra spaces in a cell. ⫸ MATCH. Answer: Used to locate the position of a specific value. ⫸ HAVING. Answer: Allows you to add a filter to your query instead of the underlying table that can only be used with aggregate functions. ⫸ IF. Answer: Performs a simple conditional test and returns a value depending on the outcome. ⫸ LIMIT. Answer: Specifies the maximum number of records returned in a query. ⫸ COUNT DISTINCT. Answer: Only returns the distinct values in a specified range. ⫸ COUNTIF. Answer: Returns the number of cells within a range that match a specified value. ⫸ =SUMPRODUCT(array1, [array2]...). Answer: Example format for the SUMPRODUCT function.

⫸ RIGHT JOIN. Answer: Returns all records from the right table and only matching records from the left table ⫸ OUTER JOIN. Answer: Combines RIGHT and LEFT join to return all matching records from both tables ⫸ Pivot Tables. Answer: Let you view tables in multiple ways to find insights and trends ⫸ Values. Answer: Used to calculate and count data. ⫸ Modulo. Answer: An operator (%) that returns the remainder when one number is divided by the other ⫸ Data Validation Process. Answer: Checking and rechecking the quality of your data so that it is complete, accurate, secure, and consistent. ⫸ Data security. Answer: Protecting data from unauthorized access or corruption by adopting safety measures ⫸ Profit margin. Answer: A percentage that indicates how many cents of profit has been generated for each dollar of sale

⫸ Conditional Formatting. Answer: A spreadsheet tool that changes how cells appear when values meet specific conditions ⫸ Mental Model. Answer: Your thought Process and the way you approach a problem ⫸ Data Aggregation. Answer: The process of gathering data from multiple sources to combine it into a single summarized collection ⫸ Subquery (Inner Query, Nested Query). Answer: A query within another query ⫸ VLOOKUP (Vertical Lookup). Answer: A function that searches for a certain value in a column to return a corresponding piece of information. ⫸ R. Answer: A programming language frequently used for statistical analysis, visualization, and other data analysis ⫸ Computer Programming. Answer: Giving instructions to a computer to perform an action or set of actions. ⫸ Coding. Answer: Writing instructions to the computer in the syntax of a specific programming language

⫸ Vector (R). Answer: A group of data elements of the same type stored in a sequence in R; use the letter c("") and add the numbers within the quotes Two types of vectors: atomic and lists ⫸ Data Structure. Answer: A format for organizing and storing data ⫸ Data Frame. Answer: A collection of columns containing data, like a spreadsheet or SQL table' summarizes data and organizes it into a format that is easy to read and use. ⫸ Assignment Operators. Answer: Used to assign values to variables and vectors Example: sales_1 <- c(67.00, 75.50, 90.00, 54.75) ⫸ Arithmetic Operators. Answer: Used to complete math calculations. ⫸ Operator (R). Answer: A symbol that identifies the type of operation or calculation to be performed in a formula. ⫸ Logical Operator. Answer: Return a logical data type such as TRUE or FALSE. Three primary types: AND, OR, NOT ⫸ AND Operator "&". Answer: The AND operator takes two logical values. It returns TRUE only if both individual values are TRUE. This means that TRUE & TRUE evaluates to TRUE.

⫸ AND Operator. Answer: TRUE & TRUE evaluates to TRUE. However, FALSE & TRUE, TRUE & FALSE, and FALSE & FALSE all evaluate to FALSE. ⫸ OR Operator. Answer: At least one of the values of the OR operation must be TRUE for the entire OR operation to evaluate to TRUE. ⫸ NOT Operator. Answer: Negates the logical value it applies to. !TRUE evaluates to FALSE, and !FALSE evaluates to TRUE. ⫸ Tidyverse. Answer: A collection of individual packages that can help you perform a wide variety of analysis tasks. ⫸ Variable. Answer: A representation of a value in R that can be stored for later use. ⫸ Data types. Answer: An attribute that describes a piece of data based on its values, its programming language, or the operations it can perform. ⫸ Comment. Answer: Helpful text that describes or explains R code, preceded by #. ⫸ Conditional Statement. Answer: A declaration that if a certain condition holds, then a certain event must take place.