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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Concepts and Environments | 15% | - Data schemas, dimensions, and attributes - Data types, structures, and formats - Structured, semi-structured, and unstructured data - Data storage systems: databases, data marts, warehouses, data lakes |
| Topic 2: Visualization and Reporting | 23% | - Selecting appropriate visualizations and charts - Building dashboards and reports - Design principles and best practices - Communicating insights and recommendations |
| Topic 3: Data Analysis | 23% | - Analytical techniques: trend, performance, exploratory, comparative - Descriptive and inferential statistics - Statistical methods: correlation, regression, hypothesis testing - Interpreting results and identifying patterns/anomalies |
| Topic 4: Data Mining | 25% | - Data acquisition and integration methods - Querying and retrieving data - Data profiling, cleansing, and validation - Data transformation, manipulation, and enrichment |
| Topic 5: Data Governance, Quality and Controls | 14% | - Data quality standards and measurement - Data lifecycle management and controls - Data privacy, security, and compliance - Data governance frameworks and policies |
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NEW QUESTION # 292
Which of the ing is the correct ion for a tab-delimited spre file?
Answer: A
NEW QUESTION # 293
How many US. states currently have data breach notification laws?
Answer: B
NEW QUESTION # 294
Which of the following is a domain-specific language used in programming that is designed for managing data that is held in a relational data stream management system?
Answer: D
Explanation:
SQL (Structured Query Language) is a domain-specific language used in programming, specifically designed for managing data held in a relational database management system (RDBMS), or for stream processing in a relational data stream management system (RDSMS). It is the standard language for relational database management systems. SQL statements are used to perform tasks such as update data on a database, or retrieve data from a database. Unlike languages like Python or R, which are general-purpose programming languages, SQL is tailored specifically for database management and manipulation.
References:
* ResearchGate article on SQL1.
* SpringerLink chapter on Relational Databases and SQL Language2.
* DataCamp tutorial on SQL Server Installation3.
* Wikipedia page on SQL4.
NEW QUESTION # 295
Consider this dataset showing the retirement age of 11 people, in whole years:
54, 54, 54, 55, 56, 57, 57, 58, 58, 60, 60
This tables show a simple frequency distribution of the retirement age data.
Answer: C
Explanation:
A measure of central tendency (also referred to as measures of centre or central location) is a summary measure that attempts to describe a whole set of data with a single value that represents the middle or centre of its distribution.
There are three main measures of central tendency: the mode, the median and the mean. Each of these measures describes a different indication of the typical or central value in the distribution.
What is the mode?
The mode is the most commonly occurring value in a distribution.
The most commonly occurring value is 54, therefore the mode of this distribution is 54 years.
NEW QUESTION # 296
Which of the following types of analyses should be used to evaluate the connections and anomalies in a data set when either known patterns are being violated or new patterns are emerging?
Answer: C
NEW QUESTION # 297
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