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ITGSS CERTIFIED PROFESSIONAL; DATA ANALYST EXAM QUESTIONS AND ANSWERS
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ITGSS CERTIFIED PROFESSIONAL; DATA ANALYST EXAM QUESTIONS AND ANSWERS...
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ITGSS CERTIFIED PROFESSIONAL; DATAANALYST EXAM QUESTIONS AND
ANSWERS
What is the difference between Data Mining and Data Analysis(1) -
ANSWER Data mining usually does not require any hypothesis.
Data analysis begins with a question or an assumption.
What is the difference between Data Mining and Data Analysis(2) -
ANSWER Data Mining depends on clean and well-documented data.
Data analysis involves data cleaning.
What is the difference between Data Mining and Data Analysis(3) -
ANSWER Results of data mining are not always easy to interpret.
Data analysts interpret the results and convey the to the stakeholders.
What is the difference between Data Mining and Data Analysis(4) -
ANSWER Data mining algorithms automatically develop equations.
Data analysts have to develop their own equations based on the
hypothesis.
Explain the typical data analysis process.(1) - ANSWER Data
Exploration -
Having identified the business problem, a data analyst has to go through
the data provided by the client to analyse the root cause of the problem.
Explain the typical data analysis process.(2) - ANSWER Data
Preparation
This is the most crucial step of the data analysis process wherein any
data anomalies (like missing values or detecting outliers) with the data
have to be modelled in the right direction.
, Explain the typical data analysis process.(3) - ANSWER Data
Modelling
The modelling step begins once the data has been prepared. Modelling
is an iterative process wherein the model is run repeatedly for
improvements. Data modelling ensures that the best possible result is
found for a given business problem.
Explain the typical data analysis process.(4) - ANSWER Validation
In this step, the model provided by the client and the model developed
by the data analyst are validated against each other to find out if the
developed model will meet the business requirements.
Explain the typical data analysis process.(5) - ANSWER
Implementation of the Model and Tracking
This is the final step of the data analysis process wherein the model is
implemented in production and is tested for accuracy and efficiency.
What is the difference between Data Mining and Data Profiling?(DM) -
ANSWER Data Mining refers to the analysis of datasets to find
relationships that have not been discovered earlier. It focusses on
sequenced discoveries or identifying dependencies, bulk analysis,
finding various types of attributes, etc.
What is the difference between Data Mining and Data Profiling?(DP) -
ANSWER Data Profiling, also referred to as Data Archeology is the
process of assessing the data values in a given dataset for uniqueness,
consistency and logic. Data profiling cannot identify any incorrect or
inaccurate data but can detect only business rules violations or
anomalies. The main purpose of data profiling is to find out if the existing
data can be used for various other purposes.
How often should you retrain a data model? - ANSWER A good data
analyst is the one who understands how changing business dynamics
will affect the efficiency of a predictive model. You must be a valuable
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