Expert Webinar Series: Learn Jupyter with Bloomberg

Posted by John McKeever
July 20, 2020

Today we’re thrilled to announce a new 6-part live webinar series with Bloomberg, focused on managing data with Jupyter. This “Learn Jupyter with Bloomberg” webinar series will be led by data experts from the Engineering department at Bloomberg, and will feature helpful explanations and live demonstrations. Attendees can expect to walk away with real-world examples of how to use Jupyter Notebooks and JupyterLab.

Register for the second webinar in this series, “Learn Jupyter with Bloomberg: Choosing a Data Source” today!

Meet the Instructors

Itay Dafna is developing open source and proprietary data visualization libraries and tooling to help users explore, understand, and communicate complex relationships within their data. He joined Bloomberg in 2013, where he has previously held the roles of Quantitative Analytics Team Leader and Financial Engineer. Itay earned his MSc in Management from the London School of Economics, and has been awarded the Certificate in Quantitative Finance from the CQF Institute.

Akin Mousse is on Bloomberg’s BQuant Financial Library team in San Francisco and has held several roles at the company over the past seven years. He has hosted many webinars and in-person classes for Bloomberg customers on Python, data science and finance. He was also a featured speaker at JupyterCon 2018. Before transitioning to software engineering, he served as a quant and data science specialist for Bloomberg in London and San Francisco. Before joining Bloomberg, Mousse started his career in 2008 and has held technical front-office positions at HSBC, Societe Generale, and BNP Paribas. He earned his engineering degree in computer science and optimization from ENSIIE in France, a master’s degree in finance and technology from the SKEMA Business School, and a certificate in deep learning from the University of San Francisco Data Institute.

Webinar Course Content

The “Learn Jupyter with Bloomberg” webinar series is focused on Jupyter, and will cover an introduction to comparison between the classic Jupyter Notebook and JupyterLab, as well as how to choose a data source, how to analyze your data, and an overview of widgets and dashboarding. 

  1. Learn Jupyter with Bloomberg: Introduction – Wednesday, July 29th. Archive available below.
  2. Learn Jupyter with Bloomberg: Choosing a Data Source – Tuesday, August 25th. Register here.
  3. Learn Jupyter with Bloomberg: Analyzing Data Using Pandas – Date To Be Announced
  4. Learn Jupyter with Bloomberg: Intro to Widgets Ecosystem and ipywidgets- Date To Be Announced
  5. Learn Jupyter with Bloomberg: Interactive Visualization with bqplot- Date To Be Announced
  6. Learn Jupyter with Bloomberg: Dashboarding and Deployment with Voilà- Date To Be Announced

To get the most benefits from these webinars, we recommend that attendees have a basic understanding of data science principles, as we’ll be using Python as the main programming language used for this series. You can get started with a free 5-day trial of Data Academy

Additionally, attendees can access the GitHub repository for helpful resources, files, and instructions: https://github.com/ibdafna/learning_jupyter_with_bloomberg

Dates for the rest of the series will be announced soon.

Webinar Archives