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How Amazon Uses Data Science?

Join a 2-hour masterclass with Tushar Jha to uncover how Amazon, a global giant, leverages Data Science to optimize operations and enhance customer experiences. Explore essential concepts, advanced techniques, and industry practices to kickstart or elevate your journey in the Data Science field.

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Free

10:00 AM to 12:00 PM

27/10/2024

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Expert Instructor


Learn from Tushar Jha, Data Scientist Lead at Amazon, as he unravels how Amazon leverages Data Science to drive business innovation and operational excellence.

Live Interactive Session


Engage in a dynamic session with real-time Q&A, gaining insights into Amazon's data-driven strategies and analytical frameworks.

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Comprehensive Coverage


Explore key data science concepts, predictive analytics, optimization techniques, and real-world applications that power one of the world's biggest enterprises.

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Certificate of Participation


Earn a certificate to showcase your understanding of Data Science, boosting your career prospects in the fast-growing analytics field.

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10:00 AM

Introduction

Doubt Session

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11:40 AM

Session Commence

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10:10 AM

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12:00 PM

Topic Conclusion

What You Will Learn In This Master Class ?

Master Foundations of Data Science at Amazon

Cutting-Edge Trends in Data Science

Career Guidance

  • Understand how Amazon leverages core data science principles.
  • Learn Amazon’s data collection and cleaning strategies.
  • Explore predictive models and ML used at Amazon.
  • Discover Amazon’s use of dashboards for reporting insights..
  • See how Amazon uses AI and ML for automation.
  • Learn Amazon’s approach to optimization and forecasting.
  • Explore Amazon’s real-world applications in logistics and CX
  • Stay updated with future trends shaping Amazon’s innovation
  • Build a portfolio inspired by Amazon’s data projects.
  • Prepare for data science roles at companies like Amazon.
  • Apply best practices for data-driven solutions
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Get Certificate of Participation

Get certified for attending masterclass

Meet Your Mentor

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Tushar Jha

Data Scientist Lead

Tushar Jha, an IIT Kharagpur alumnus, is the Lead Data Scientist at Amazon with 7+ years of experience. He specializes in machine learning, data mining, and statistical modeling, with past roles at Airbnb and Paytm, driving insights through advanced data-driven solutions.


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Who should enroll for the Masterclass?

This master class is suitable for both beginners and those with experience in software development, offering valuable insights and skills to all participants.

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Aspiring Data Scientists


Individuals aiming to kickstart their career in data science by learning from Amazon’s real-world use cases.

Tech Professionals


Engineers, developers, and IT professionals seeking to enhance their skills with data-driven insights and analytics.

Students


Learners eager to grasp the fundamentals of data science and explore Amazon’s innovative approaches to data applications.

Career Changers


Professionals looking to transition into data science or analytics roles by understanding how Amazon leverages data to drive business growth.

Frequently Asked Questions

What will I learn in this masterclass?
Discover how Amazon uses data science for predictive modeling, optimization, customer personalization, and operational efficiency.
Do I need prior experience in web development to attend?
No prior experience is required. This masterclass is designed for beginners and those curious about the field of data science.
Will I receive a certificate after completing the masterclass?
Yes, participants will receive a certificate of participation upon completion.
Will there be a Q&A session?
Yes, the session includes live Q&A where the mentor will address your queries.
How long is the masterclass?
It’s a 2-hour live session offering valuable insights into Amazon's data science practices
Will there be any hands-on practice during the session?
While the session focuses on concepts, you’ll gain insights into practical applications and real-world use cases at Amazon.

Free

10:00 AM to 12:00 PM

Sunday, 27 Oct, 2024

Starts in

Price

Date

Time

Days
Hours
Minutes
Seconds
Register Now