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    الإحصاء و البيانات
    19466

    Advanced Data Science Processes

    27-10-2024 To 31-10-2024
    Dubai
    statistic and data

    Data science has become a crucial aspect of modern business operations, providing valuable insights and driving strategic decisions. This advanced course delves into the comprehensive data science process, covering data collection, preprocessing, analysis, modeling, and interpretation. Participants will learn to apply sophisticated techniques and tools to manage the entire data science workflow, from raw data to actionable insights.

    Date :
    From 27 Till 31 Oct. 2024
    City :
    Dubai
    Fees :
    4500
    • Date City Fees
    Date :
    From 27 Till 31 Oct. 2024
    City :
    Dubai
    Fees :
    4500
    • Date City Fees

    Overview

    To equip participants with advanced knowledge and skills in data science processes, enabling them to effectively manage, analyze, and extract insights from complex data sets to drive informed decision-making and innovation.

    Data science has become a crucial aspect of modern business operations, providing valuable insights and driving strategic decisions. This advanced course delves into the comprehensive data science process, covering data collection, preprocessing, analysis, modeling, and interpretation. Participants will learn to apply sophisticated techniques and tools to manage the entire data science workflow, from raw data to actionable insights.

    Who Should Attend

    Target Group:

    • Data scientists and analysts
    • Business intelligence professionals
    • Machine learning engineers
    • Data engineers and architects
    • Research scientists
    • Professionals seeking to advance their data science skills
    • Understand the comprehensive data science process and its components.
    • Develop advanced skills in data collection, cleaning, and preprocessing.
    • Learn sophisticated data analysis and visualization techniques.
    • Gain expertise in building and evaluating predictive models.
    • Implement best practices for interpreting and communicating data insights.
    • Utilize modern tools and technologies for data science workflows.

    Targeted Competencies

    • Comprehensive understanding of the data science process
    • Advanced data collection and preprocessing skills
    • Proficiency in data analysis and visualization
    • Expertise in building and evaluating predictive models
    • Effective interpretation and communication of data insights
    • Utilization of modern data science tools and technologies

    Introduction to Data Science Processes

  • Overview of the data science lifecycle
  • Importance of data science in modern business
  • Key roles and responsibilities in a data science team
  • Case studies on successful data science projects

    • Data Collection and Preprocessing

  • Techniques for data collection from various sources
  • Data cleaning and handling missing values
  • Data transformation and normalization
  • Feature engineering and selection
  • Case studies on effective data preprocessing

    • Contact Us

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