Data Science for managers – online course

    20 hours


    Mon Wed Fri


    30 August


    8000 UAH

    Data Science for managers – online course

    Artificial intelligence and Machine Learning have the power to transform entire industries. Companies in consumer-facing industries like banking, healthcare, and e-commerce that aren’t using these new tools and advances today run the real risk of failure as we gear towards an automated future.

    We understand that time is important that is why this course is short and intense so that you can have all the necessary information in short period of time.

    ПІБ платника:
    Top skills you will learn after the course:
    • about the importance to adopt the Machine Learning and Data Science;
    • how you can use it to strengthen your organization;
    • the skills you need in order to better understand and manage a data team to meet your organization’s needs;
    • the meaning of clustering, computer vision, natural language processing (NLP), deep learning;
    • how to perform a basic machine learning experiment, to understand what machine learning is and how to interpret its output;
    • ways to analyze and visualize your data using dashboards;
    • how to use mathematical tools for data interpretation, understand a statistical significance and how to perform A/B tests;
    • understanding of data sources your company can use, how to store that data and how to write a basic SQL queries in order to pull data from database.
    Учебный план картинка
    Plan of the education

    1.1. What is Data Science:

    • Difference between Data Analyst, Data Scientist, Data Engineer jobs
    • Data science project workflow
    • Skills, tools, frameworks

    1.2. What is Machine Learning:

    • Typical problems that can be solved with ML approaches
    • Difference between Supervised and Unsupervised learning
    • How to estimate the “goodness” of ML model
    • Computer Vision, NLP, Speech Recognition, …
    • ML models deployment

    1.3. Data science management:

    • Key positions, roles, team structure
    • Data scientist recruitment
    • Why is it hard to estimate time on a DS (ML/DL) project and why is standard SCRUM not working?

    2.1. Data visualization:

    • Types of charts and how to read them
    • Business Inteligence: Power BI

    2.2. Data analytics:

    • Basic statistics recap
    • Approximation Results and Confidence Intervals
    • Signicance testing, A/B tests, Simpson paradox

    3. Data Collection and Storage:

    • Why data is so valuable and expensive?
    • Google Analytics
    • Databases, MySQL, Google Big Query, etc.
    • SQL: basic queries + mysql client
    • Google SpreadSheets on steroids: direct import data from DB, management from Python, bussiness processes automation

    4. What is it about:

    • Big data
    • AI (artificial intelligence)
    • IoT (internet of things)
    • Business Cases
    Учебный план картинка

    Data Science for managers

    Who is this course for:

    This course is an excellent resource for managers and business leaders who are looking for the opportunity to use data science in business but still don’t have much experience in data analytics themselves or just want to strengthen their skills.

    It is specially designed for executives, for product owners, for project managers, and everyone who need to set proper tasks for their data teams and to read properly their results.

    Also, it would be a great entry point for the people who are going to start their career in data science.