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Best Machine Learning Book for Beginners

You need a mixof different technologies for Data Science projects. Instead of learning many skills, just learn a few. The four main steps of any project are extracting the data, model development, artificial intelligence, and presentation. Attending interviews with many skills is not so easy. So keep the skills short.
A person with many skills can't perform all the work. You had better learn a few skills like Python, MATLAB, Tableau, and RDBMS. So that you can get a job quickly in the data-science project.
Out of Data Science skills, Machine learning is a new concept. Why because you can learn Python, like any other language. Tableau also the same. Here is the area that needs your 60% effort is Machine learning.  Machine Learning best book to start.

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India is gearing for awesome Data Analytics Jobs

There is no surprise in India, all companies started building Data analytics team and infrastructure. With a lot of Indian companies building their data analytics team, the requirement in the domestic market for this skill will increase over the next couple of years.

The requirement for Data Analytics

  •  There will be an increased demand for data analytics professionals.
  • Industry experts believe that currently big data and analytics is one of the top three skills in demand in India. 
  • Organizations are looking at their internal set of data to understand the business better – as a result, there will be an explosion of various job opportunities in this area.
Top three segments where huge demand for data analytics engineers are Data Science, Statistics, Technical specialists with multiple skills.

Top Demand Roles in Data Analytics

  • Some of the requirements are for tech personnel, statistician, econometrician, data scientist, analytical consultant, functional consultant, etc. 
  • However, there is a short supply of data scientists, according to experts, followed by a functional consultant. 
  • Industries in Utilities and Manufacturing will be the next set to invest in Big Data.

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