Data Science Webinars in June 2020

Original article was published on Artificial Intelligence on Medium

Data Science Webinars in June 2020

Keep growing your knowledge during the pandemic.

Photo by Simon Abrams on Unsplash

The field of data science has gained a tremendous popularity in the recent years. One of the reasons of this accelaration is the advancement in technology which has made it possible to process huge amount of data in a very short time. As the amount of data increases, the models become more robust and accurate. Another motivation behind the popularity of data science is its potential to touch almost any domain. More and more businesses started to adapt data science tools to improve their processes or make data driven decisions.

For data science enthusiasts and pracititoners, it is very important to follow the current applications of data science. Data science is still an evolving field and the scope keeps expanding. One of the best resources to stay up-to-date is to follow seminars or webinars. We do not have much of seminars due the Covid-19 pandemic but webinars are still ongoing.

I would like to share the webinars in June 2020 that I think cover highly important topics and practices.

1 How Artificial Intelligence can be used in a data driven world

Date: June 10, 2020

Topic:

Practical examples on how current data can be enhanced using AI/ ML and/or NLP to glem insight into the data.

2. COVID-19 Recovery Planning using Advanced Analytics

Date: June 10, 2020

Topic:

  • How advanced analytics helps to stabilize operations
  • How to adjust forecasting models using international and macroeconomic data
  • How to optimize post-lockdown operations using machine learning

3. Deep Learning Approaches to Forecasting and Planning

Date: June 18, 2020

Topic:

How deep learning can be used in forecasting and planning in a way that both technical and non-technical managers can understand.

4. Solving Customer Churn: A Telecom Use Case

Date: June 30, 2020

Topic:

  • Solve a customer churn use case for a telecom client
  • Cover building and deploying a model for customer churn classification •
  • Show how you can leverage RapidMiner to make impactful business decisions