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Free Webinar on Data Analytics with Python

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There has never been a better time to learn data analysis. This will not only upgrade your value in the job industry, but will also make you grow across towards the field of data science.
Even at entry level, data analysis will boost your salary. According to IBM, the number of jobs for data professionals in the U.S will increase to 2,720,000 by 2020.
Currently, the need of data analysts is more than the available supply, and companies are willing to welcome students and professionals to fill their positions. Talking in terms of data, the following job profiles required extensive skills in the field of data analyst.
IT System analyst: A typical systems analyst in the US makes around $68,807.
Healthcare analyst: The median salary for a Healthcare Data Analyst is $61,438.
Operations analyst: Average salary of $55,981.
Business analyst: Average salary of $55,000.
Data scientist: The average data scientist salary is $113,436, according to Glassdoor.
Data engineer: median salaries being comparable to data scientists at $90,963.
Quantitative analyst: The median salary for quantitative analysts is $82,879.
Data Analytics Consultant: $78,264 is a representative salary for the role.
Digital Marketing Manager: median salary is around is $80,000.
Project Manager: A typical salary for a project manager is around $73,247.
Transportation Logistics Specialist: professionals in this industry makes around $79,000 per year.
There are endless profiles, where you can implement data analysis. Working with data is a necessary skill in every domain of professionalism. Whether you are in the field of finance, engineering, medical, marketing, and commerce or else, every professional requires to work with data, and with this, every professional, must be skilled enough to work with data and analyse them to retrieve essential information and make decisions.
In this webinar we will understands the ongoing market trends. With this, this webinar provides the ultimate overview on specialization package for “data analytics with python”. 
To start from scratch! And make you gain all major skills to be a successful data analyst.
To cover all basics, necessary for data analysis.
To cover the most important skill to be a data analyst: Python!

Register for the webinar below –

 


 
 

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