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Big Data Analytics

Applied Data Science with Python

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  • Overview

    This course provides theoretical and practical aspects of using Python applied to Data Science, Business Analytics, and Data Logistics. Emphasis is on a survey of core concepts, terminology, and theory. This course is supplemented by a variety of hands-on labs that help participants reinforce their theoretical knowledge of the learned material.

  • Who Should Take This Course

    Audience

    This course is suitable for: Business Analysts, Developers, IT Architects, and Technical Managers

    Prerequisites

    Participants should have a working knowledge of Python or have strong programming experience with another language. Familiarity with core statistical concepts such as variance, correlation, etc. is helpful.

  • Schedule
  • Course Outline
    1. What is Data Science?
    2. Data Processing Phases
    3. Descriptive Statistics Computing Features in Python
    4. Repairing and Normalizing Data
    5. Data Visualization with matplotlib
    6. Data Science and ML Algorithms in scikit-learn
  • FAQs
    Is there a discount available for current students?

    UMBC students and alumni, as well as students who have previously taken a public training course with UMBC Training Centers are eligible for a 10% discount, capped at $250. Please provide a copy of your UMBC student ID or an unofficial transcript or the name of the UMBC Training Centers course you have completed. Online courses are excluded from this offer.

    What is the cancellation and refund policy?

    Student will receive a refund of paid registration fees only if UMBC Training Centers receives a notice of cancellation at least 10 business days prior to the class start date for classes or the exam date for exams.

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