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WorksheetsData Analysis Overview Assessment
Total questions: 10
Worksheet time: 5mins
What is the primary purpose of Data Analysis?
To write complex algorithms for machine learning models.
To identify, clean, transform, and model data to discover meaningful information for decision-making.
To design and secure the infrastructure for data storage.
To create data visualisations as the final product.
The four components of analytics are:
Qualitative, Quantitative, Operational, Strategic.
Data Collection, Data Storage, Data Processing, Data Reporting.
Descriptive, Diagnostic, Predictive, Prescriptive.
Preparation, Modelling, Visualisation, Management.
Which of the following is the BEST description of a Data Analyst's core responsibility?
They interpret visualised data to make direct business recommendations.
They build and maintain the underlying data pipelines and cloud platforms.
They perform advanced analytics like machine learning to build forecast models.
They turn raw data into meaningful insights using visualisation and reporting tools.
What is the key differentiator between a Data Analyst and a Business Analyst?
The Business Analyst has stronger programming skills.
The Data Analyst is closer to the business stakeholders.
The Business Analyst specialises in interpreting the data from visualisations.
The Data Analyst manages the flow of unstructured data.
Which role is primarily responsible for 'curating data assets in data lakes and ensuring data quality to enable self-service analytics'?
Data Scientist
Data Engineer
Analytics Engineer
Business Analyst
During which of the five key tasks of a Data Analyst would you define relationships between tables to create a semantic model?
Prepare
Model
Visualize
Analyze
The 'Manage' task of a Data Analyst is important for all of the following reasons EXCEPT:
Fostering collaboration and sharing of content.
Ensuring the security of reports and data access.
Directly performing predictive analysis on datasets.
Helping to reduce data silos within an organisation.
In the 8-step process for building a data analysis project, which step IMMEDIATELY follows 'Get the Data'?
Identify the Problem
Prepare the Data
State the Objectives
Explore the Data
Which type of analytics is used to answer the question, 'What will happen in the future?'
Descriptive Analytics
Diagnostic Analytics
Predictive Analytics
Prescriptive Analytics
What is the ultimate goal of creating a well-designed data report with effective visualisations?
To use the most advanced and complex chart types available.
To tell a compelling story that enables quick insights for decision-makers.
To prepare the data for use by data scientists in machine learning.
To meet the technical requirements for data storage and latency.
