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What is Data Analytics, Big Data and Data Science? Any one please tell me.

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Software Developer

Data analysis, also known as analysis of data or data analytics, is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing...
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Data analysis, also known as analysis of data or data analytics, is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, in different business, science, and social science domains.

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15 years of experience in online training of Python, R, SAS, SPSS, SQL, Tableau, Data Science and ML

Hi, Data analysis used for modeling quantitative data and data science new toll plus knowledge to the statistical concept.Big Data needs to be used for complex data i.e. text data, pictures, numeric data etc.
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Trainer

Data Science is everything about data cleansing, Preparation and analysis. Data analytics comprise insights to the given data set by using queries and data procedures. Big data is used to analyse insights which leads to strategic business decisions. I hope you got your answer.
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Tutor

Data analytics (DA) is the process of examining data sets, analyzing information they contain.
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Trainer

Data analytic is the process of analysis of data,like how data is arranged, data operation and data mining. So many methods are present, which are used for analysis purpose.
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Experienced Six Sigma and data analyst

Data analytics means analyzing and understanding the data to get information / insights/ patterns from the data which would help to improve our business. When we have large volume of data then its called Big data analytics. For eg: if you have used amazon / flipkart / gmail and observe the suggestions...
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Data analytics means analyzing and understanding the data to get information / insights/ patterns from the data which would help to improve our business. When we have large volume of data then its called Big data analytics. For eg: if you have used amazon / flipkart / gmail and observe the suggestions / advertisments which pops up in your gmail would be related to what you would have searched / bought recently. These suggestions are provided based on algorithm or pattern which is created using the data analytics.

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15 years of experience in online training of Python, R, SAS, SPSS, SQL, Tableau, Data Science and ML

What is the difference between Data Science, Big Data and Data Analytics? Data has majorly three jobs which are:Data AnalyticsData ScienceBig Data Let me elaborate each job role separately- #DataAnalytics - The job role is required to examine raw data sets in order to draw conclusions about the information...
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What is the difference between Data Science, Big Data and Data Analytics?
 
Data has majorly three jobs which are:
Data Analytics
Data Science
Big Data

Let me elaborate each job role separately-

#DataAnalytics - The job role is required to examine raw data sets in order to draw conclusions about the information they contain, increasing with the aid of specialized systems and software. Data analytics technologies are widely used in commercial industries to enable organizations to make more informative business decisions.
Skills -
Cleaning
Preparation
Analysis
Modelling
70–80% time is spent on cleaning the data.

#DataScience - The job role requires using scientific methods, processes, and systems to extract knowledge or insights from data in various forms, either structured or unstructured, similar to data mining.
Skills -
Statistics - 70–80%
Predictive modeling - 70–80%
Machine Learning - 10–15%
Text Mining - 30%
Visualization - 5%
Deployment - 5%

#BigData - Big data is also data but a larger set of data. It is a term used to describe collection of data that is huge in size and is growing exponentially with time.
What are the overall skills required for such domains?
Python (72%)
R (64%)
SQL (51%)
Hadoop (39%)
Java (33%)
SAS (30%)
Spark (27%)
Matlab (20%)
Hive (17%)
Tableau (14%)
#---------------------------------------------------
In India the #salary for a fresher Data Scientist ranges from 6 - 8 lakhs per annum.

What is the bottom line for job seekers and employers?

Since data science is a very new field, there’s still a little consensus on what work they do, or what are the skills required by them. The lack of skills are basically due to having different personas in the field of data science, each requiring different skills and earning different pay.

For job seekers looking for data science roles, the must for mastering the core skills are - SAS, R, Python and SQL - which provides the solid foundation for most of the job listings for data science.
 
https://www.linkedin.com/pulse/what-difference-between-data-science-big-analytics-foundation/ 
 
Regards
Gaurav Mishra
www.analyticsfoundation.co.in 
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