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Data Science Foundations Fundamentals Questions Graded A+ 2025/2026

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Data Science Foundations Fundamentals Questions Graded A+ 2025/2026 People frequently ask whether they should learn python or r to do data science. what is the answer that this video gives to this question? - A professional data scientist should be comfortable with both Python and R, as well as several other..... science While anomaly detection is normally associated with negative outcomes like fraud or machine failure, it is more flexible than that. which is the following is a positive outcome in anomaly detection? - Identifying new markets with potential value What is application programming interface (API)? - API routes the data, translates it, and prepares it for use What are artificial nerual networks modeled after? - neurons that are inside a biological brain Like general "software-as-a-service" or "saas," what is one of the major attractions of "machine-learning-as-a-service" or "mlaas"? - You don't need to own or maintain hardware, which can be flexibly allocated to your project Which is a major goal of dimensionality reduction? - reducing noise in the data What is an advantage of in-house

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Data Science Google Data Analytics Professional
CertificateQuestions Graded A+ 2025/2026
Data - A collection of facts

Data Analysis - The collection, transformation, and organization of data in order to draw
conclusions, make predictions, and drive informed decision-making.

Data analytics - The science of data

Data-driven decision making - Using facts to guide business strategy

Data ecosystem - The various elements that interact with one another to produce,
manage, store, organize, analyze, and share data.

Data Science - A field of study the uses raw data to create new ways of modeling and
upstanding the unknown.

Dataset - A collection of data that can be manipulated or analyzed as one unit.

Analytical skills - Qualities and characteristics associated with solving problems using
facts.

curiosity - eagerness to learn

context - The condition in which something exists or happens

Technical mindset - The ability to break things down into smaller steps or pieces and
work with them in an orderly and logical way

Data design - Analytical skills that involve how you organize information

Data strategy - The management of the people, processes, and tools used in data
analysis

root cause - The reason why a problem occurs

gap analysis - A method for examining and evaluating the current state of a process in
order to identify opportunities for improvement in the future

analytical thinking - Identifying and defining a problem and then solving it by using data
in an organized, step-by-step manner

Visualization - A graphical representation of data

, Data strategy - The management of the people, processes, and tools used in data
analysis

Data analyst - Someone who collects, transforms, and organizes data in order to draw
conclusions, make predictions, and drive informed decision-making

gap analysis - A method for examining and evaluating the current state of a process in
order to identify opportunities for improvement in the future

Data Analysis Process - Ask, Prepare, Process, Analyze, Share, Act

Data Life Cycle - Plan, capture

Stakeholders - People who have invested time and resources into a project and are
interested in the outcome

formula - A set of instructions used to perform a calculation using data in a spreadsheet

function - A preset command that automatically performs a specified process or task
using data in a spreadsheet

query language - A computer programming language used to communicate with a
database

attribute - A characteristic or quality of data used to label a column in a table.

Observation - All of the attributes for something contained in a row of a data table.

Formula - A set of instructions that perform a specific action using the data in a
spreadsheet

Fairness - Ensuring that your analysis doesn't create or reinforce bias

Business task - The question or problem data analysis answers for a business

query - a request for information from a database

Observation - The attributes that describe a piece of data contained in a row of a table

Structured thinking - The process of recognizing the current problem or situation,
organizing available information, revealing gaps and opportunities, and identifying
options.

making predictions - Using data to make informed decisions about how things may be in
the future.

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