The DataHour: Build & Operationalize ML Model Using Tableau

To Data Science Enthusiasts,

We are happy to bring you another webinar in ‘The DataHour’ series. The webinar is based on building and operationalizing your ML Model using Tableau Business Science. This webinar will be conducted by Amir Meimand, who is currently working as Principal Solution Engineer on the Salesforce strategic solution team focusing on Data Science and Machine Learning. 

Date: 25th March 2022

Time: 8:30pm to 9:30pm IST

Topic: Build and Operationalize your Machine Learning Model using Tableau Business Science

REGISTER FOR FREE NOW!

About the Webinar

Looking at the overall process of applying machine learning techniques to build an end-to-end solution for any business problem, there is a huge distance between the data and the ultimate decision-makers of business users. When immediacy is the essential factor, this distance is problematic and will increase the time to value.

Tableau Business Science lowers the barrier and reduces time to value by providing a guidance machine learning experience. It enables business users to develop and deploy their model with no code and just click and embed this model into their analytic workflow seamlessly, allowing for faster speed to insight and more confident decisions.

This webinar will focus on the AutoML solution and how it can enable business users to tune their data and business knowledge into actionable analytics. Amir will use Einstein Discovery integration with Tableau to demonstrate how business users can build a predictive model and bring it into Tableau, build different reports, and get more insight. He will be using a real-world business problem, and the dataset will be available to the audience.

Prerequisites: Enthusiasm for learning Data Science and a trial version of Einstein Discovery as well as Tableau, which you can download for free from below:

1- Einstein Discovery Trial Request

2- Tableau Desktop 2021.1 or beyond 

Note: Trials are valid for 14 days only, so it is best if you download a few days before the webinar.

Why is this Important for Data Scientists?

Suppose you are aiming to build a career in Data Science. You will have adequate knowledge of the field by attending this webinar. Machine learning is one of the most crucial sub-set of Data Science; in this webinar, you will learn some tips and tricks to build more ingenious solutions in no time.  Sounds exciting, isn’t it? 

Who is this Webinar for?

• Students & Freshers who want to build a career in Data Science
• Working professionals who wish to transition to a data science career
• Data science professionals who want to accelerate their career growth

Speaker

Amir Meimand is a Principal Solution Engineering on the Salesforce strategic solution team focusing on Data Science and Machine Learning. Amir has 10+ years of experience building, deploying, and applying advanced analytics to solve enterprise business problems. 

Previously, he was the director of Data Science at Zilliant, a SaaS company providing machine learning solutions for price optimisation and sales maximisation, later acquired by Madison Dearborn. Amir’s current area of focus is scaling advanced analytics solutions by democratising data science and machine learning. Amir holds a PhD in Statistics and Operations Research from Pennsylvania State University, 2013.

End Notes

I hope you’re excited to attend this webinar. Amir will provide us a global view of Machine Learning and Data Science from overall learnings from his professional journey. 

Grab this fantastic opportunity by registering here.

If you missed our previously conducted webinars, head to our YouTube Channel and check out the recordings. 

If you wish to conduct a webinar or facing difficulty in registering, connect with us at [email protected]. 

Sakshi Raheja

I am a passionate writer and avid reader who finds joy in weaving stories through the lens of data analytics and visualization. With a knack for blending creativity with numbers, I transform complex datasets into compelling narratives. Whether it's writing insightful blogs or crafting visual stories from data, I navigate both worlds with ease and enthusiasm. 

A lover of both chai and coffee, I believe the right brew sparks creativity and sharpens focus—fueling my journey in the ever-evolving field of analytics. For me, every dataset holds a story, and I am always on a quest to uncover it.