Kunal Jain — July 10, 2016
Events

Introduction

Data Science is seen as a hope for a better future, the impending shortage for analytics professionals has sparked off a great demand. The analytics industry is at a nascent stage right now and the bundle of opportunities are huge.

If you are seeking to shift to analytics industry or you are a novice who’s eager to build a career in data science then this could be your ticket to the hottest job in the industry.

Our Analytics for Beginners meet-up in collaboration for Bridge School of Management is just the place for you.

I invite your participation to one of the most informative workshops and take your first step towards Data Science/ Analytics profession.

Date: 17th July 2016

Time: 10:30 am to 5:30 pm

Venue: Bridge School of Management Noida

Near sector – 15 metro station, Noida

Register Here

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Who should attend this meetup?

Anyone who is keen to  learn analytics or wants to shift his/ her career in analytics is welcomed to come and join us.

 

How much is the fee for this meetup?

There is NO FEES for participating in this event. We believe that learning should not be obstructed due to financial commitments. Hence, you are invited.Food & Fun will be on the house. Please make sure you bring your laptop along.

 

Why should you attend this meetup?

• Learn ways to start your career in analytics

• Learn about the best practices (tips & tricks) to become successful in data science.

• Get the chance to learn from real life experiences of best data scientists in Delhi NCR.

• Gain hands on experience on predictive modeling by working on a live practice problem

• Get working knowledge of R / Python / SAS / Excel from scratch

 

For more details of this meetup, Visit Here

For more information & details on these meetups, feel free to drop us a mail at [email protected].

About the Author

Kunal Jain

Kunal is a post graduate from IIT Bombay in Aerospace Engineering. He has spent more than 10 years in field of Data Science. His work experience ranges from mature markets like UK to a developing market like India. During this period he has lead teams of various sizes and has worked on various tools like SAS, SPSS, Qlikview, R, Python and Matlab.

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