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Intro to Data Analytics Study Guide
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Intro to Data Analytics Study Guide
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Intro to Data Analytics Study GuideData Visualization - ANS-describes technologies that allow users to see or visualize
data to transform information into a business perspective
Data Wrangling - ANS-The process of cleaning, unifying, and preparing unorganized
and scattered data sets for easy access and analysis.
(converting unstructured data to structured data)
Text mining - ANS-discovery of patterns and relationships from large sets of
unstructured data
Machine learning - ANS-the extraction of knowledge from data based on algorithms
created from training data
Data Preparation - ANS-Gather and organize the data in the correct formats and
structures for analysis
Data Modeling - ANS-the process of determining the users' information needs and
identifying relationships among the data
Data interpretation - ANS-Making sense of and analyzing data to find patterns and
trends.
A/B testing - ANS-This is the process of comparing two variations of a single variable to
determine which performs best in order to help improve marketing efforts
Microsoft Excel - ANS-A spreadsheet application tool that analyzes data in a table
format using formulas
R - ANS-Free open-source statistical programming language
Built and maintained for statisticians by statisticians
Capable of both data analysis and data graphics
Can write your own functions and packages to make graphics the way you want
Python - ANS-An easy-to-learn, general-purpose, high-level scripting language.
Minitab - ANS-A statistical package to perform statistical analysis
, Designed to perform analysis as accurately as possible
Maintaining Databases - ANS-What is a skill required of a data engineer?
Project sponsor - ANS-Which role is responsible for project initiation and providing the
requirements for a project?
Business intelligence analyst - ANS-make sense out of an organization's data and
information, and present their findings to senior staff for the purpose of making tactical
and strategic decisions
Project sponsor - ANS-The person who provides the direction and funding for a project
Business user - ANS-subject matter expert, who benefits from the results
Data scientist - ANS-extracts knowledge from data by performing statistical analysis,
data mining, and advanced analytics on big data to identify trends, market changes, and
other relevant information
Data engineer - ANS-Which job position is primarily responsible for designing and
constructing data pipelines within the field of data analytics?
Data engineer - ANS-A professional who transforms data into a useful format for
analysis and gives it a reliable infrastructure
Data administrator - ANS-An individual responsible for defining and implementing
consistent principles for a variety of data issues.
Data analyst - ANS-Someone who collects, transforms, and organizes data in order to
draw conclusions, make predictions, and drive informed decision-making
Data engineer - ANS-Which role in a data analytics project helps data scientists shape
data for analysis?
Database administrator - ANS-the person responsible for coordinating, controlling, and
managing the database
Data scientist - ANS-Which role in a data analytics project provides expertise for
analytical techniques?
Business users - ANS-Which group of stakeholders comprises the professionals, such
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