• Class and Course

    Data understanding and visualization

    In this dynamic training, students will master the essential toolkit for transforming raw data into meaningful insights. The course goes beyond basic theory, offering a hands-on approach to the art of data analysis. Learners will become proficient in utilizing cutting-edge data visualization software and techniques, enabling them to reveal the stories hidden within the numbers.

    Data Preparation and Management

    • Data Cleaning Essentials: Understanding the nuances of data quality and methodologies for cleaning datasets.
    • Standardization Techniques: Introducing methods for data normalization and scaling to bring uniformity to datasets.
    • Feature Engineering: Exploring strategies for feature creation and selection to enhance model performance.
    • Principles of Data Integration: Techniques for combining data from various sources to create cohesive datasets.
    • Strategies for Data Reduction: Learning methods to reduce data dimensionality while preserving its integrity.
    • Ensuring Data Integrity: Processes for data validation and verification to ensure accuracy and reliability.

    • Fundamentals of Data Annotation: Overview of the data annotation process and its importance in AI and machine learning.
    • Annotation Tools Exploration: Surveying the landscape of annotation tools and platforms, including hands-on exercises.
    • Best Practices in Data Annotation: Discussing the dos and don’ts in annotating text, images, and videos to create high-quality datasets.
    • Quality Assurance in Annotation: Establishing protocols for quality control and efficient management of the annotation process.
    • Introduction to Interactive Visualization with Plotly/Dash:
      • Plotly Primer: Learning the basics of creating dynamic data visualizations with Plotly.
      • Engaging Visuals with Plotly: Techniques for crafting interactive charts and graphs.
      • Dash Framework Overview: Building web applications with Dash for data presentation.
      • Dash Component Deep Dive: Understanding and utilizing Dash components for complex visualizations.
      • Elevating Your Dashboards: Concluding with best practices and exploring advanced topics in Plotly/Dash.

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