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# Data-Driven Science, a scientific method, process and systems to grab knowledge or understanding from Data.
# Big Data can be used to Analyze the Insights and take the decision and strategic business based on the analysis.
# Data Analytics is to verify and examine the raw data to find the patterns and drawing conclusion about the information by applying an algorithmic or mechanical process to get insights.
Required Education for Data Science
Holding an Master Degree is Great for Data Science, because 88% of Data Scientist have Masters and any degree
In Common, python is most used coding language for Data Science. Along with python languages are used too.
If you are familiar with Hadoop Platform / spark, its an added advantage. With Experience your perk will raise.
SQL Database, Should be familiar with unstructured data. You have to be a Pro in Varieties of Datas.
Required Education for Big Data Roles
Should be really good in Analytical Skills. You should have the ability to solve analytical problems. Because the data come to you are really huge in numbers. You should have good courage to take a relevant decision based on your Analysis Outcome.
Being Creative, Mathematical Nerd, people who love number is great for Big Data Roles.
Computers Coding and Business Decision making skills is added advantage. You have create business objective, set growth for your business. Everything rely on you. Organization believe your numbers.
Required Education for Data Analytics Roles:
Programming skill is needed to become as a Analyst.
Mathematical Skill is most important. Because you have experiment the result with lot of correlation and make decision.
Machine Learning is Important.
As we already discussed, Data comes to you in different varieties or format. You should have the ability to convert those data as user reading one. Data Wrangling is added plus. Make sure you are good at communication and data visualization skills.
It is also known as Data-Driven Science, a scientific method, process and systems to grab knowledge or understanding from Data/ It can be either Structured or Unstructured. The Purpose is to Gain Knowledge or Full Understanding about the Procured Data.
Big Data can be used to Analyze the Insights and take the decision and strategic business based on the analysis. Big Data comes in Large Volume. It can be either Structured or Unstructured. It is Businesses data which is collected on day to day basis. Big Data Gained momentum in early 2000s. When Industry Analyst Doug laney gave a New Definition by categorizing into Three “V”s.
Data Analytics is to verify and examine the raw data to find the patterns and drawing conclusion about the information by applying an algorithmic or mechanical process to get insights
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Glaata, Knowledge Transfer organization. Deals with Teaching Data Science to IT Professionals. Industry Professionals from respective domain, teach data science classes from Basic to Advance. Our Organization believe in Purpose rather than desire. Learn Data Science from Professionals and get Placed in Fortune 500 Corporations
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