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    إدارة تقنية المعلومات
    18714

    Mastering Data Science and Analysis

    17-08-2026 To 21-08-2026
    London
    it mgmt

    This course will cover the foundational concepts and advanced techniques used in data science and analysis. Participants will learn how to process, analyze, and interpret complex data sets, as well as understand the tools and algorithms used to create predictive models. Real-world case studies will be utilized to illustrate these techniques and their applications.

    Date :
    From 17 Till 21 Aug. 2026
    City :
    London
    Fees :
    5900
    • Date City Fees
    Date :
    From 17 Till 21 Aug. 2026
    City :
    London
    Fees :
    5900
    • Date City Fees

    Overview

    The course aims to equip professionals with the skills and knowledge necessary to extract insights from vast amounts of data and utilize these insights to drive decision-making and innovation in their respective organizations.

    This course will cover the foundational concepts and advanced techniques used in data science and analysis. Participants will learn how to process, analyze, and interpret complex data sets, as well as understand the tools and algorithms used to create predictive models. Real-world case studies will be utilized to illustrate these techniques and their applications.

    Who Should Attend

    This course is designed for professionals interested in leveraging data for decision-making and innovation, including business analysts, research analysts, data analysts, statisticians, and anyone with a keen interest in data science.

    • Gain a comprehensive understanding of data science and its relevance in today's business environment.
    • Learn how to manipulate and analyze complex, high-volume data from various sources.
    • Develop skills in using data analysis tools and programming languages such as R, Python, and SQL.
    • Understand statistical analysis and machine learning algorithms and their application in data science.
    • Develop the ability to create predictive models and utilize them for decision-making processes.
    • Learn to present data insights in a clear, understandable manner to drive strategic decisions.
    • Data manipulation and analysis
    • Predictive modelling and machine learning
    • Big data and advanced analytics
    • Data visualization and communication
    • Use of data science tools such as R, Python, SQL, and Tableau

    Introduction to Data Science

  • Understanding the role and impact of data science in the business context.
  • Exploring the data science process and its stages.
  • Overview of the tools and technologies used in data science.
  • Understanding types of data: structured, unstructured, and semi-structured.
  • Introduction to data governance and ethics.

    • Data Manipulation and Analysis

  • Basics of data manipulation: cleaning, transforming, and reshaping data.
  • Techniques for data analysis: statistical analysis, regression, clustering.
  • Using R, Python, and SQL for data manipulation and analysis.
  • Real-world case studies in data manipulation and analysis.
  • Hands-on exercises on data manipulation and analysis.

    • Contact Us

    For each learning and development project we establish strong relationships and effective communication with partners.
    Don't hesitate to contact us.