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  • DATA ANALYTICS AND AI COURSE

    OLEKSANDR ROMANKO

    SENIOR RESEARCH ANALYST, IBM CANADA

    08.09-09.09
    business

    edition

    iHUB, 10 KRESCHATYK STR


    Course instructor

    Oleksandr Romanko

    Senior Research Analyst, IBM Canada

    Adjunct Professor, University of Toronto
    Ukrainian Catholic University

    On September 8-9, Oleksandr Romanko Senior Research Analyst, IBM Canada and Professor at the University of Toronto and UCU comes to Kyiv. Oleksandr will hold the course “Data Analytics and AI: Business edition”.

     

    Data is the second “oil” in the modern world. Learning to correctly process, interpret and visualize data can help better understand their customers and more easily capture markets. Both large IT companies and startups are hiring Data Scientist.

     

    However, not everyone benefits from the involvement of such workers. Why? Everything is just plain, management does not fully understand the principles of working with such technologies. That is why we decided to organize a course on managing Data Science projects for executives, project/product managers and developers planning their own startups.

     
    The course will focus on the following topics:

     

     

    Who should take this course?

     

    During the course, leading experts on machine learning, applied artificial intelligence projects will also speak:

    Borys Pratsiuk

    Head of R&D, Ciklum

    Theme: Applying the Data Science Approach to Your Business

    Mariia Koroliuk

    Program Manager, Kyiv School of Economics
    McKinsey&Company advanced analytics team alumni

    Theme: Advanced Analytics: competitive edge for your business

    Andrey Burlutskiy

    SMART business, Strategic Marketing Manager

    Theme: Predict marketing. Predict KPIs. Predict Future. How to win in business model competition using Artificial Intelligence? Business case online taxi service UKLON.

    Course format: a two-day course where you will get basic tools for working with data and instructions on how to apply them.

    Venue: iHUB, 10 Khreshchatyk Street, Kyiv, 01001

    Course language: Ukrainian, slides and explanations for examples in English


    Course outline

    September 8

    Introduction to data analytics and artificial intelligence

    • Data-driven company from managerial point of view
    • Client-driven data analytics projects

    Working with data. Part 1

    • Datasets, open data, structured and unstructured data
    • Datasources (transactions, log data, sensors, text data, audio and video data)
    • Databases and data structures

    Working with data. Part 2

     

    • Web-scraping, APIs
    • Data preprocessing, data validation, data and feature engineering
    • Big Data

     

    Advanced Analytics: competitive edge for your business

    Mariia Koroliuk Program Manager, Kyiv School of Economics;
    McKinsey&Company advanced analytics team alumni

     

    Questions that we can try to answer with data analytics

     

    • Statistics (samples, distributions, hypothesis testing, time series)
    • Machine learning (prediction, classification, clustering, associations)
    • Artificial intelligence (analysis of text and social media, understanding and translation of natural language, spatio-temporal analytics, image and visual recognition)
    • Modeling uncertainty (Monte Carlo simulations)
    • Optimizing decisions (optimization)

    September 9

    Applying the Data Science Approach to Your Business

    Borys Pratsiuk Head of R&D, Ciklum

     

    Storytelling based on analytics, analytical decision making. Part 1

    • Visual analytics
    • Validating analytics
    • Storytelling based on analytics

    Storytelling based on analytics, analytical decision making. Part 2

    • Decision-making based on analytics
    • Infrastructure for analytics (cloud, services/APIs, analytics solutions)

     
    Predict marketing. Predict KPIs. Predict Future. How to win in business model competition using Artificial Intelligence? Business case online taxi service UKLON.
    Andrey Burlutskiy SMART business, Strategic Marketing Manager
     
    Selected case studies (more case studies would be covered during the course)

    • Visual and image recognition
    • Natural language understanding
    • Chat-bot for investment portfolio selection
    • Simulation modeling of restaurant operations
    • Visual analytics with IBM Watson Analytics and AI solutions at IBM Cloud

    QA session

    Сourse schedule


    Tickets

    Buy 3 tickets Get 10%
    off
    Buy 5 tickets Get 15%
    off
    25% discount for students

    1450 ₴
    before 15 August

    1750 ₴
    August 15-31

    1950 ₴
    September 1-8


    General HR partner

    Партнер курсу