Subscribers

Data science is a set of fundamental principles that support the extraction of information and knowledge from data. It involves concepts for extraction of knowledge via the analysis of data using techniques from various fields such as Statistics, Machine Learning and Data Mining. This two-day workshop concentrates on the fundamental concepts of Data Science and engineering.

The goal of this course is 2-fold: to be able to approach business problems using analytical data- approach and to competently interact on the topic of data science for business analytics. Enterprises nowadays adopt a data-driven decision-making (DDD) methods which refer to the practice of basing decisions on the analysis of data, rather than purely on intuition. Moreover, Data Science is an essential component for companies in the high-tech domain which are engaged in the development of data products and data services.

The course will present basic concepts and algorithms require to communicate in a data-driven environment. Additional information is provided in appendices to extend the learning experience after the course has been completed.

During the workshop there will be 2 master classes:

  1. Case study "How to organize a Data Science division in the company" will be shown on a personal example by Oleg Voloshko, Head of the Big Data analytical products department at Kyivstar;
  2. Software engineer Boris Trofimov will come from Sigma Software and will reveal in more detail the direction of "Data Engineering"

The list of main topics to be discussed:

  • Basic methodology 
  • Data Understanding and Engineering
  • Exploratory Data Analysis (EDA)
  • Data pre-processing
  • Predictive analytics and classification
  • Clustering (from k-means to hierarchical clustering)
  • Introduction to Deep Learning and Reinforcement Learning

This course is intended for IT-developers, digital marketers, CTO and business analysts taking their first steps with data science, data mining and machine learning and provides them with the skills required for becoming a productive data scientist in that environment. The curriculum includes topics such as data mining algorithms and techniques. The course is suitable for people planning to engage in data science and big data analytics projects.

This course is designed for people with engineering/scientific academic background and with soft skills in programming and statistics. The course doesn’t include programming tasks.

Speakers of the workshop:


Dr. Elan Sasson
CEO of Data Science Group in Israel

Elan holds a Ph.D. in information systems - titled ‘Modeling Technology Assessment via Knowledge Maps: Text Mining and Temporal Trend Detection on the Internet’. An adjacent Lecturer in Tel Aviv University Recanati School of Management (MBA) and in the Engineering faculty (M.Sc.). Teaching courses in big data analytics, data science, and machine learning. Dr. Sasson is a member of the steering committee at the Tel Aviv University – the laboratory of AI, machine learning, and analytics. Dr. Sasson is a Hi-tech entrepreneur and a well-rounded executive with 27 years of experience in development of IT/IS products, software projects as well and managing start-ups in Israel and abroad.


Oleg Voloshko
Head of product development at Kyivstar"

After he has defended his Ph.D. on the physico-mathematical sciences, became interested in Data Analysis and Machine Learning. As a Data Scientist had experience in banking and telecom spheres, implemented the projects in the field of credit scoring, fraud detection, marketing, pricing. At Kyivstar, leads the direction of data products development for internal and external customers.


Boris Trofimov
Expert in Big Data & Java/Scala technologies

Speaker from Sigma Software. An expert on Big Data and Java/Scala Technologies. Has 16 years of experience in the IT-industry, has led various projects for more than 10 years. Also has over 5 years of experience in organizing and processing Big Data, as well as the date platforms for companies such as Verizon/AOL and Collective with incoming Reuters> 1M events per second. He is co-organizer and speaker of the Odessa Java and Mobile User Groups. Lecturer in ONPU, permanent speaker at major Ukrainian conferences.

The standard ticket price is $600 (until May,20 - $480). The price includes attendance of all activities and master classes, handouts, coffee breaks and business lunch For staff members of the Ukrainian Association of Associations (as a member of the DAN.IT Education Board) - $402. For members of the Association - $450.

If you are interested in the event - contact Ksenia Stolbova from DAN.it by e-mail k.stolbova@dan-it.com.ua , or by phone numbers +38 044 290 22 44 and +38 067 442 13 22.