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5 Day Bootcamp on Data Science with Ashok Veda

19th October - 23rd October 2020
6:30 - 8:00 PM (IST)

Hurry Up • Seat are limited

Take Away From the Bootcamp

Gain essential knowledge in Data Science.

Decide whether Data Science is for you?

Next steps in pursuing a career in Data Science.

Bootcamp participation certificate.

Data Science Beginners Tool-Kit.

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Why to Attend the BootCamp

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Demystify Data Science

Ask specific question to demystify Data Science

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Key areas in Data Science

Know which are the key areas in Data Science field

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Gain essential knowledge in Data Science

Get an in depth understanding of the field of Data Science

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Pursue a career in Data Science

Understand how to pursue a career in Data Science

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Is Data Science for you

Find out if the Data Science career is for you.

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Data Science Beginners Tool-Kit

Get a free Data Science Beginners Took-Kit after completion of Bootcamp

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Topics covered in the Bootcamp

WHAT?

1. What is Data Science and Machine learning

2. What are the key areas of Data Science?

3. What are the various job roles in Data Science?

WHY?

1. Why is Data Science so popular?

2. Why is Data Science important across industries and functions?

3. Why is Data Science the most coveted career choice?

HOW?

1. How Is Data Science relevant to you?

2. How to learn Data Science in the right way?

3. How to pursue a career in Data Science as a Beginner/Experienced?

Trainer Profile

Learn more about our next webinar guest speakers.

Trainer Profile

Ashok Veda is the founder-CEO of Rubixe, an AI company. Ashok has 15 years of experience in the field of analytics and data science, guiding more than 10,000 data science aspirants, delivering numerous key speeches on AI and Data Science in various prestigious forums. Ashok is a Ph.D. scholar in the field of AI in Marketing, holds an MBA from the University of Amsterdam (UVA), and IIM Ahmedabad, Engineering degree from NIT Warangal .

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Hurry Up!! Seats are Limited

Next Bootcamp will start soon. Make sure you reserve your spot

  • 63

    days

  • 03

    hours

  • 55

    minutes

  • 46

    seconds