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Big DataNights is back! with a series of lectures focusing on Data Science Meta-Skills.

  • How can you communicate effectively with your product and business at your organization?
  • How to craft a successful presentation and tell your Data Science story?

In the following series, we will discuss these points and more with professionals from the industry.

Schedule:
March 2 – May 4
Tuesdays, from 8:00 pm to 9:30 pm

Agenda:
🔷 20:00 - Opening words
🔶 20:05 - 21:15 – Main Lecture
🔴 21:15 - 21:30 – Q&A

Zoom Link: https://us02web.zoom.us/j/83111926449?pwd=bGl0SVRCdDhJQWJ2akFwVGlvdlgzZz09

Speaker Language: Hebrew

Details:
2.3 - Noa Zehavi Raz, Head of Data, Practi
How to Translate Business Questions to Data Hypothesis

16.3 - Bitya Neuhof, Data Scientist at Intel
Problem Solving - What is the Problem?

6.4 - Adi Watzman, Lead Data Scientist
Storytelling - Turn your Data Science Work into an Appealing Story

20.4 - Uri Nativ, Co-founder and CPO at Torii
From Data to Deck - Even Data Scientists can Create Awesome Presentations

4.5:

  1. Victoriya Kalmanovich, Software Engineering Manager
    Predictive Maintenance - How Data Science Revolutionizes the World of Machines.
  2. Malvina Matlis, Data Scientist and BI Specialist
    Are We There Yet? - The Data Science Odyssey

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Big DataNights - DS Meta-Skills #2: Problem Solving - What is the Problem? - Bitya Neuhof

We’re all great at finding the best model that accurately fits our data, but what about focusing on the problem?
What do we need to know about this problem? Is there anything important to consider before solving it?
How do we evaluate success or failure? In this talk, we will discuss how to solve a data-centric problem and how to avoid some of the most common pitfalls.

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