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Predictive Analytics: Forecast ticket sales for an event like Coldplay
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Masterclass

Predictive Analytics: Forecast ticket sales for an event like Coldplay (Ended)

Check out other exciting events and level up your skills
Webinar details

This masterclass is designed to help you explore how predictive analytics can be applied to real-world scenarios such as forecasting ticket sales for large-scale events. Learn directly from industry expert Megna Roy as she breaks down key strategies and techniques to forecast demand in the entertainment industry.

 

 

 

Speaker details

Megna Roy, Data Science & Analytics at Amazon, and ex-data analyst at Uber, has a passion for data science and a wealth of experience across various industries. Megna has mentored over thousands of individuals worldwide, sharing her extensive knowledge on positioning oneself for success in analytical roles.

 

 

Key Takeaways:

  1. BookMyShow case study

    • An in-depth examination of ticket sales forecasting for high-profile events, concerts, and live shows like Coldplay.
    • Understand the factors that drive ticket sales and how platforms like BookMyShow use data to anticipate demand.
  2. Building Predictive Models for ticket sales using Python

    • Step-by-step guidance on developing predictive models.
    • Explore key data points, algorithms, and techniques that can accurately project sales figures for events.
    • Learn how to analyze historical data, identify trends, and make data-driven decisions for sales forecasting.
  3. Live Q&A session

    • An opportunity to interact with Megna Roy and get expert insights on applying predictive analytics to event management and other domains.
    • Get your questions answered on best practices and tools used in the field of data analytics.

 

This masterclass will equip you with practical skills and knowledge to apply predictive analytics in various industries. Whether you’re a data professional or looking to enhance your analytical capabilities, this session will provide valuable insights.

 

Reserve your spot now to gain hands-on experience in predictive analytics!

By registering, you consent to receive communications from Coding Ninjas, including emails, messages or calls about course updates, offers, and other valuable information. You acknowledge that you can opt-out at any time.

Frequently Asked Questions

What is the agenda of this masterclass?

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This masterclass is designed to help individuals understand the essential prerequisites for a career as data analyst.

Who will be hosting the session?

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The session will be hosted by distinguished with extensive experience in mentoring and guiding individuals towards successful careers in tech.

Who is a data analyst?

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A Data Analyst is a professional who help organizations make informed decisions by performing statistical analyses on large datasets to extract meaningful insights.

Who should attend the masterclass?

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Whether you're a, recent graduate, or a working professional aiming to enhance your skills and profile, this session will provide valuable insights and practical guidance.

Do I have to pay anything to attend the masterclass?

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No, it's free of cost masterclass?

Will I get a certificate?

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Yes, you will be receiving a participation certificate, within 24 hours of post masterclass completion.

What can i expect from the masterclass?

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Gain expert guidance, build standout profiles, showcase skills, engage in live Q&A, receive career transition tips, network, and gain a competitive edge in the tech job market.

Do I get to interact with experts?

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Yes, you have to put all your questions in the Q&A box, and the mentor will provide you with all possible guidance.

What are the prerequisites for attending this session?

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Ensure you have a good network connection and the Zoom app if joining from a mobile device. For a seamless experience, it's preferable to join from a laptop.

What to do, if I am not able to register, or don't get the invite link?

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You can contact us at the email address/ contact number provided at the bottom of the page.
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