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  • 9.09.17-10.09.17

    Data Science Intensive course by Olexander Romanko

    NATIONAL PEDAGOGICAL
    DRAGOMANOV UNIVERSITY
    LECTURES IN
    UKRAINIAN
    SLIDES IN
    ENGLISH
    PANEL
    DISCUSSION
    NETWORKING
    OPPORTUNITY FAIR
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    Instructor
    Romanko

    Olexander Romanko

    Senior Research Analyst, Risk Analytics, IBM Canada

    Teacher: Olexander Romanko – Professor at Toronto University, Senior Research Fellow at IBM Canada. Olexander received a Ph.D. and Master’s Degree in Computer Science at McMaster University (Canada), a Master’s degree in economics at Carlow University (Czech Republic) and a Specialist Diploma from the Sumy State University.

    All who at least once attended the lectures of Olexander on their own experience were sure that he was one of the best speakers in artificial intelligence and data science, moreover, our compatriot!

    Why should I attend the course?

    You will learn:

    • How to make data preparation;
    • How to Build models;
    • How to optimize the obtained models;
    • And most importantly – making decisions on the basis of the received data.

    Who will be interested in:

    • Beginners who want to acquire knowledge in Data Science in a short time
    • Financial analysts
    • Developers
    • Students who seek to study real cases instead of dry theory

    Panel discussion.
    An excellent completion of the course will be a panel discussion on the topic of artificial intelligence and startups. So, come on September 9th and 10th on the full days of Data Science.


    Patricipants of the panel discussion

    Chaplinsky
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    Dmitry Chaplinsky

    Senior developer/tech
    architect Zone Digital

    Trubnykov
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    Anton Trubnykov

    Founder & CEO
    Logic-IT-Solutions

    Starepravo
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    Ihor Starepravo

    Embedded Systems Director
    Luxoft company

    Milinevskiy
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    Andrey Milinevskiy

    Partner and Co-founder CXdesign,
    ex Chief Transformation
    Officer Kyivstar

    Koroliuk
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    Mariia Koroliuk

    Independent digital consultant,
    previously McKinsey Advance
    analytics core practitioner

    Rybalko
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    Volodymyr Rybalko

    Chief Big Data Officer
    at Vodafone Ukraine

    Organizer: Data Science UA, step by step are building a full-fledged Data Science community in Ukraine by organizing conferences, meetups, courses, providing recruitment services.

    Important: During the course, practical examples will be considered on Python, so it is advisable to have a laptop with you.

    Venue:
    Pyrohova St., 9, Kyiv (National Dragomanov Pedagogical University)

    Course language: Ukrainian

    Сourse schedule


    Course program:

    Introduction to data science and analytics

    • Data science concepts
    • Application areas of quantitative modeling

    Python programming, data science software

    • Introduction to Python
    • Comparison of Python, R and Matlab usage in data science

    Basic statistics

    • Random variables, sampling
    • Distributions and statistical measures
    • Hypothesis testing
    • Statistics case studies in IPython

    Overview of linear algebra

    • Linear algebra and matrix computations
    • Functions, derivatives, convexity

    Modeling techniques, regression

    • Mathematical modeling process
    • Linear regression
    • Logistic regression
    • Regression case studies in IPython

    Data visualization and visual analytics

    • Visual analytics
    • IBM Watson Analytics

    Simulation modeling

    • Random number generation
    • Monte Carlo simulations
    • Simulation case studies in IPython

    Optimization

    • Overview of optimization algorithms
    • Optimization case studies in IPython

    Data mining and machine learning

    • Classification (decision trees)
    • Clustering (K-means, Fuzzy C-means, Hierarchical Clustering, DBSCAN)
    • Association rules
    • Data mining case studies in IPython

    Cognitive computing and artificial intelligence

    • Text analytics
    • Social media analytics
    • Neural networks
    • Spatio-temporal analytics
    • Cognitive computing case studies in IPython

    Storytelling based on analytics, analytical decision making

    • Validating analytics
    • Storytelling based on analytics
    • Decision-making based on analytics

    Tickets

    10%

    Buy 5 tickets
    Get 10% off

    15%

    Buy 10 tickets
    Get 15% off

    For students:

    Buy ticket
    Get 20% off

    590 ₴
    Best offer
    until 20 August
    790 ₴
    Time to buy
    21 August – 8 September
    950 ₴
    Day course
    9 September

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