Metadata Sharing & Analytics

Metadata sharing and analytics play pivotal roles in today's data-driven world.

Course starts on 1st Oct 2023
  • 1 Month
  • English
  • Certified Course


Metadata sharing and analytics play pivotal roles in today's data-driven world. Metadata sharing involves making descriptive information about data assets accessible across different systems and organizations, promoting interoperability, collaboration, and data discovery. On the other hand, analytics involves extracting valuable insights and patterns from data, enabling data-driven decision- making, process optimization, and customer understanding. Together, these concepts create a powerful framework for harnessing the full potential of data, empowering businesses and individuals to make informed choices and stay competitive in a rapidly evolving landscape.

Job Titles

  • Metadata Manager
  • Metadata Analyst
  • Metadata Specialist
  • Metadata Coordinator
  • Metadata Curator
  • Metadata Strategist
  • Metadata Governance Specialist
  • Metadata Architect
  • Metadata Consultant
  • Metadata Integration Analyst

These job titles combine the concepts of metadata sharing, analytics, and structural engineering, highlighting the integration of data management and analysis within the context of structural engineering projects.


A career in metadata sharing and analytics presents a promising path in today's data-centric world. As organizations increasingly rely on data-driven insights for decision-making, professionals in this field play a crucial role in managing and analyzing vast amounts of data effectively. Metadata specialists ensure data accuracy and consistency by establishing and enforcing metadata standards, while data analysts extract valuable insights from the data using various analytical techniques. Data engineers design and maintain data infrastructure, facilitating seamless metadata sharing and integration. As demand for data-driven strategies grows, professionals in this domain find themselves at the forefront of cutting-edge technologies and methodologies. With the potential for continuous learning, intellectual stimulation, and opportunities for career advancement, a career in metadata sharing and analytics holds immense promise for those seeking a dynamic and rewarding profession


The curriculum covers essential topics in metadata sharing and analytics, enabling students to become proficient in data management and analysis. Participants will learn about metadata standards, schemas, and harvesting techniques, ensuring efficient data organization and discoverability. The course also covers analytics fundamentals, including descriptive, diagnostic, predictive, and prescriptive analytics. Students will gain hands-on experience with data preprocessing, visualization, and statistical analysis. Advanced topics such as machine learning, big data analytics, and cloud services will be explored. Practical projects and case studies will reinforce learning, preparing students for a successful career in this data-driven field

  • Introduction to Metadata and Data Management
  • Metadata Schemas and Models
  • Metadata Harvesting and Aggregation
  • Introduction to Data Analytics
  • Data Preprocessing and Cleaning
  • Exploratory Data Analysis (EDA)
  • Introduction to Statistical Analysis
  • Predictive Analytics
  • Machine Learning for Metadata Analysis
  • Advanced Analytics Techniques
  • Big Data Analytics and Cloud Services
  • Case Studies and Practical Projects
  • Skill Level Basic
  • Language English
  • Certificate Yes
  • Quizzes 10