Q1 What is data analytics?
Data analytics is the collection, transformation, and organisation of
ANS data in order to conclude, make predictions, and drive informed
decision-making.
Q2 What are the six phases of the data analysis process?
ANS Ask, Prepare, Process, Analyze, Share, and Act.
Q3 What does a data analyst do?
A data analyst collects, transforms, and organizes data to help
ANS make informed decisions. They identify trends, solve problems,
and communicate findings to stakeholders.
What is the difference between data analysis and data
Q4
analytics?
Data analysis refers to the collection, transformation, and
organization of data to draw conclusions and make predictions.
ANS
Data analytics is the broader science of data, encompassing all
the tools and methods used.
Q5 What are the five key analytical skills?
, Curiosity, understanding context, having a technical mindset, data
ANS
design, and data strategy.
Q6 What is analytical thinking?
Analytical thinking involves identifying and defining a problem,
ANS then solving it by using data in an organized, step-by-step
manner.
What is the difference between quantitative and qualitative
Q7
data?
Quantitative data is specific and objective measures of numerical
ANS facts. Qualitative data describes subjective or explanatory
measures of a quality or characteristic.
Q8 What is structured data?
Structured data is organized in a defined format such as rows and
ANS columns in spreadsheets or relational databases, making it easy
to search and analyze.
Q9 What is unstructured data?
Unstructured data is not organized in any easily identifiable
ANS manner. Examples include audio files, video files, emails, photos,
and social media posts.
Q10 What is data-driven decision-making?
Data-driven decision-making is the process of using facts
ANS discovered through data analysis to guide business strategy and
decisions rather than relying on intuition alone.
Q11 What is a data ecosystem?
A data ecosystem is the various elements that interact with each
ANS other in order to produce, manage, store, organize, analyze, and
share data.
,Q12 What does 'gap analysis' mean in data analytics?
Gap analysis is a method for examining and evaluating how you
ANS currently operate versus where you want to be in the future,
identifying the gaps that need to be addressed.
What is the root cause analysis technique known as 'The Five
Q13
Whys'?
The Five Whys is a technique where you ask 'Why?' five times to
ANS reveal the root cause of a problem by repeatedly drilling down
from surface symptoms.
Q14 What is a data analyst's role in relation to stakeholders?
Data analysts translate data into actionable insights and
ANS communicate findings clearly to stakeholders so they can make
informed decisions based on evidence.
What is the difference between a database and a
Q15
spreadsheet?
Spreadsheets are best for smaller datasets and individual
ANS analysis. Databases store larger amounts of data, allow multiple
users access simultaneously, and support more complex queries.
Q16 What is metadata?
Metadata is data about data. It tells you the type of data, how it
ANS was collected, when and where it was collected, and who is
responsible for it.
Q17 What is the fairness issue in data collection?
Fairness in data collection means ensuring that data doesn't
ANS create or reinforce bias, and that all relevant groups are
represented appropriately in the dataset.
, Q18 What is a data type?
A data type is a specific attribute of a value that tells the system
ANS how to interpret it, such as number, string/text, Boolean, date, or
time.
Q19 What are the four types of analytical thinking?
Visualization, strategic thinking, problem-orientation, and
ANS correlation — plus the ability to work with big-picture and detail-
oriented thinking.
Q20 What does 'context' mean in data analytics?
Context refers to the condition and circumstances that surround
ANS and give meaning to data, including who collected it, where it was
collected, when, why, and how.
Q21 What is a dataset?
A dataset is a collection of data that can be manipulated or
ANS
analyzed as one unit. It can be structured or unstructured.
Q22 What is the SMART methodology for asking questions?
SMART stands for Specific, Measurable, Action-oriented,
ANS Relevant, and Time-bound. It guides analysts to ask clear,
focused questions.
What is the difference between a leading question and a
Q23
neutral question?
A leading question steers people toward a particular response,
ANS often introducing bias. A neutral question allows respondents to
answer freely without influence.
Q24 What are common pitfalls that lead to failed data analyses?
Data analytics is the collection, transformation, and organisation of
ANS data in order to conclude, make predictions, and drive informed
decision-making.
Q2 What are the six phases of the data analysis process?
ANS Ask, Prepare, Process, Analyze, Share, and Act.
Q3 What does a data analyst do?
A data analyst collects, transforms, and organizes data to help
ANS make informed decisions. They identify trends, solve problems,
and communicate findings to stakeholders.
What is the difference between data analysis and data
Q4
analytics?
Data analysis refers to the collection, transformation, and
organization of data to draw conclusions and make predictions.
ANS
Data analytics is the broader science of data, encompassing all
the tools and methods used.
Q5 What are the five key analytical skills?
, Curiosity, understanding context, having a technical mindset, data
ANS
design, and data strategy.
Q6 What is analytical thinking?
Analytical thinking involves identifying and defining a problem,
ANS then solving it by using data in an organized, step-by-step
manner.
What is the difference between quantitative and qualitative
Q7
data?
Quantitative data is specific and objective measures of numerical
ANS facts. Qualitative data describes subjective or explanatory
measures of a quality or characteristic.
Q8 What is structured data?
Structured data is organized in a defined format such as rows and
ANS columns in spreadsheets or relational databases, making it easy
to search and analyze.
Q9 What is unstructured data?
Unstructured data is not organized in any easily identifiable
ANS manner. Examples include audio files, video files, emails, photos,
and social media posts.
Q10 What is data-driven decision-making?
Data-driven decision-making is the process of using facts
ANS discovered through data analysis to guide business strategy and
decisions rather than relying on intuition alone.
Q11 What is a data ecosystem?
A data ecosystem is the various elements that interact with each
ANS other in order to produce, manage, store, organize, analyze, and
share data.
,Q12 What does 'gap analysis' mean in data analytics?
Gap analysis is a method for examining and evaluating how you
ANS currently operate versus where you want to be in the future,
identifying the gaps that need to be addressed.
What is the root cause analysis technique known as 'The Five
Q13
Whys'?
The Five Whys is a technique where you ask 'Why?' five times to
ANS reveal the root cause of a problem by repeatedly drilling down
from surface symptoms.
Q14 What is a data analyst's role in relation to stakeholders?
Data analysts translate data into actionable insights and
ANS communicate findings clearly to stakeholders so they can make
informed decisions based on evidence.
What is the difference between a database and a
Q15
spreadsheet?
Spreadsheets are best for smaller datasets and individual
ANS analysis. Databases store larger amounts of data, allow multiple
users access simultaneously, and support more complex queries.
Q16 What is metadata?
Metadata is data about data. It tells you the type of data, how it
ANS was collected, when and where it was collected, and who is
responsible for it.
Q17 What is the fairness issue in data collection?
Fairness in data collection means ensuring that data doesn't
ANS create or reinforce bias, and that all relevant groups are
represented appropriately in the dataset.
, Q18 What is a data type?
A data type is a specific attribute of a value that tells the system
ANS how to interpret it, such as number, string/text, Boolean, date, or
time.
Q19 What are the four types of analytical thinking?
Visualization, strategic thinking, problem-orientation, and
ANS correlation — plus the ability to work with big-picture and detail-
oriented thinking.
Q20 What does 'context' mean in data analytics?
Context refers to the condition and circumstances that surround
ANS and give meaning to data, including who collected it, where it was
collected, when, why, and how.
Q21 What is a dataset?
A dataset is a collection of data that can be manipulated or
ANS
analyzed as one unit. It can be structured or unstructured.
Q22 What is the SMART methodology for asking questions?
SMART stands for Specific, Measurable, Action-oriented,
ANS Relevant, and Time-bound. It guides analysts to ask clear,
focused questions.
What is the difference between a leading question and a
Q23
neutral question?
A leading question steers people toward a particular response,
ANS often introducing bias. A neutral question allows respondents to
answer freely without influence.
Q24 What are common pitfalls that lead to failed data analyses?
