fbpx
Size of letters 1x
Site color
Image
Additionally
Line height
Letter spacing
Font
Embedded items (videos, maps, etc.)
 

Online-Training: Data Science for Business

IT Personal Effectiveness Personal Development CEO, TOP Management IT, Engineers Business Development, Sales, Customer Relations
  • Duration:07 - 21 September
  • Language: Ukrainian
  • Time: 17:00 - 19:30
  • Format:3 days (07, 14 and 21 September 2023)
  • Fee for EBA members:3500 UAH
  • Early Registration for EBA members:3000 UAH till August 07th, 2023
  • Place: Will be online
Google Apple Outlook Telegram Bot
  Online-Training: Data Science for Business. Date: 07 September2023. Time: 17:00 19:30. Language: Ukrainian. Format: 3 days (07, 14 and 21 September 2023). Place: Will be online. Artificial intelligence, data science, machine learning, work with big data - those topics are top in mind. And its not strange because usage of such approaches continue to bring significant benefit to more significant advantages of business spheres.   Within the course framework you can better understand what is the sphere of data and how its modern achievements can be used in your business. Training will take place for three days - 07, 14 and 21 September. EBA Management Development Centre Team together with Andrii Latysh invite you to take part in the Online-Training: Data Science for Business.  Trainer: Andrii Latysh, Founder & Coordinator at Odyssey - Odessa Data Science Community; Member of Expert-Consulting Committee in the sphere of Artificial Intelligence Development at the Ministry of Digital Transformation in Ukraine; Vice President on the questions of international cooperation in Odesa IT family; Lecturer; Speaker; PhD Student. Target audience: managers of middle and senior elements, top managers, that are interested in effective usage of data science in their spheres.  What knowledge and skills will you require? What is Machine Learning, data science and artificial intelligence.  What typical life cycle of the machine learning project consists of. How everyday work of the data scientist and machine learning engineer look like. Methods of decisions` performance assessment received with the help of machine learning.  Peculiarities of projects` management that are part of machine learning.  Typical problematic moments of the projects with machine learning and ways of their solving.  Trainers. Andrii Latysh. Founder & Coordinator at Odyssey - Odessa Data Science Community; Member of Expert-Consulting Committee in the sphere of Artificial Intelligence Development at the Ministry of Digital Transformation in Ukraine; Vice President on the questions of international cooperation in Odesa IT family; Lecturer; Speaker; PhD Student. You can send a question to:. Contact person:. Anna Ovdii. E-mail [email protected]. Contact Phone. 067-406-65-40.

Artificial intelligence, data science, machine learning, work with big data – those topics are top in mind. And its not strange because usage of such approaches continue to bring significant benefit to more significant advantages of business spheres.  

Within the course framework you can better understand what is the sphere of data and how its modern achievements can be used in your business. Training will take place for three days – 07, 14 and 21 September.

EBA Management Development Centre Team together with Andrii Latysh invite you to take part in the Online-Training: Data Science for Business

Trainer: Andrii Latysh, Founder & Coordinator at Odyssey – Odessa Data Science Community; Member of Expert-Consulting Committee in the sphere of Artificial Intelligence Development at the Ministry of Digital Transformation in Ukraine; Vice President on the questions of international cooperation in Odesa IT family; Lecturer; Speaker; PhD Student.

Target audience: managers of middle and senior elements, top managers, that are interested in effective usage of data science in their spheres. 

What knowledge and skills will you require?

  • What is Machine Learning, data science and artificial intelligence. 
  • What typical life cycle of the machine learning project consists of.
  • How everyday work of the data scientist and machine learning engineer look like.
  • Methods of decisions` performance assessment received with the help of machine learning. 
  • Peculiarities of projects` management that are part of machine learning. 
  • Typical problematic moments of the projects with machine learning and ways of their solving. 

Trainers

1 / 1
Andrii Latysh
Founder & Coordinator at Odyssey - Odessa Data Science Community; Member of Expert-Consulting Committee in the sphere of Artificial Intelligence Development at the Ministry of Digital Transformation in Ukraine; Vice President on the questions of international cooperation in Odesa IT family; Lecturer; Speaker; PhD Student
Andrii Latysh

You can send a question to:

Contact person:

Anna Ovdii

Contact
067-406-65-40
Registration
First name
E-mail
Your mobile number
Please mark who will pay for your participation
Register If your company is already a member of the EBA and you have a personal cabinet / or want to create it, please follow the link.
Close - 2
Please mark who will pay for your participation
Register
Register
Close

Spelling error report

The following text will be sent to our editors: