Top Data Analytics Training Institute Best Data Analytics Institute - Chennai

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Top 10 Interview questions on Data Analytics
BY Hope Tutors
www.hopetutors.com
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What is Data Analytics?

• Its the method of collecting both quantitative
  and qualitative information about a digital
  property.
• For example, Data analytics tools look like
  Mixpanel or Google Analytics which both allow you
  to track metrics like how many visitors came to
  our website.

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What is Data cleansing?

• It helps Data analyst have to discover and
  eliminating errors from the database to improve
  data quality.

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Difference between data mining and data profiling?

• Data mining is aiming to unusual record
  detection, sequence discovery, Cluster analysis
  and others.
• Data profiling targets individual attributes
  analysis like value ranges and their data types,
  length, frequency.

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Define challenges faced by a Data Analyst?

• Here I mention a few challenges,
• Value misrepresentation
• Duplicate entries
• Identify Data overlapping
• Illegal values

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PreRequisite to learn Data Analyst

• Programming Language  Preferably Python
• Algorithms  Understanding the concepts and Data
  Structures
• Database  Basic knowledge of MySQL
• Mathematics  Probability, Algebra, Statistics

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Skills set for a Data Analyst

• As a Data Analyst must start by ensuring good
  Mathematical knowledge, technology and also a
  business intelligence and statistics. He should
  be good at below mentioned skills,
• Analytical Skills - Handle the Situation from
  different perspective
• Mathematical Skills Calculation and graphical
  information
• Computer Skills Scripting language, Querying
  language, Programming
• Business Skills Decision making and time
  management and organization skills.

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Describe Series Analysis?

• Series Analysis can be done in 2 domains, Time
  Domain and Frequency Domain. Time Series Analysis
  when the output process is forecasted by
  analysing data gotten previously using methods
  including exponential smoothing, log-linear
  regression.

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What is Map Reduce?

• Mapreduce is a Programming model, Map method
  performs filter and Sorting and Reduce method
  perform a Summary operation. It can able to run
  various tasks in parallel.

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Describe K-Mean Algorithm?

• The K Means Algorithm is a way to find a cluster
  in your data, It has set of steps to find a group
  and label the data. It's  like a partitioning
  method where objects are classified into K groups.

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Define collaborative filtering?

• It is a process of filtering using techniques
  among multiple users. Collaborative filtering has
  two senses one is narrow one another is more
  general one. It actually does automatic
  predictions filtering.

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How could you find a solution to Multi Source
problems?

• Identify the similar records and put them
  together into a single record that contains a
  needed attributes.
• To achieve schema integration we have to
  restructure the schemas.

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Describe Series Analysis?

• Series Analysis can be done in 2 domains, Time
  Domain and Frequency Domain. Time Series Analysis
  when the output process is forecasted by
  analysing data gotten previously using methods
  including exponential smoothing, log-linear
  regression.

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