Big Data and Advanced Analytics applications in Industry

Course schedule

Classroom Training:
9 - 13 Sep 2024London5 days£4,250
9 - 13 Dec 2024London5 days£4,250

Please note: prices shown above are exclusive of VAT (20%).

Course Overview

Uncover the potential of big data and analytics in transforming industry practices. This course provides insights into data-driven decision-making, predictive analytics, and the strategic use of data for competitive advantage.

Who Should Attend

This executive education course is designed to provide professionals in the field of management and operations with the essential knowledge and skills required to harness the power of big data and advanced analytics in various industry sectors. Participants will gain a comprehensive understanding of how data-driven insights can drive strategic decision-making and enhance operational efficiency. This course is ideal for Directors of Operations, managers, and professionals in management roles in various industries, including consultancy firms. It is suitable for individuals who are looking to enhance their decision-making capabilities through the use of big data and advanced analytics.

Course Outcomes

  • Equip participants with a solid foundation in big data and analytics concepts
  • Enable participants to identify and collect relevant data sources for analysis
  • Teach advanced analytics techniques and tools for extracting meaningful insights
  • Empower participants to apply data-driven decision-making in their respective industries

Course Topics

Introduction to Big Data and Analytics

  • Understanding the fundamentals of big data and analytics
  • Exploring real-world use cases and success stories
  • Introduction to data collection and storage techniques
  • Ethical considerations in data handling

Data Acquisition and Preparation

  • Data sourcing and integration strategies
  • Data cleaning transformation and preprocessing
  • Handling structured and unstructured data
  • Data quality assessment and assurance

Advanced Analytics Techniques

  • Statistical analysis and hypothesis testing
  • Predictive modeling and machine learning algorithms
  • Data visualization and interpretation
  • Case studies in advanced analytics applications

Implementing Analytics in Operations

  • Integrating analytics into business operations
  • Building a data-driven culture within an organization
  • Monitoring and optimizing operational processes
  • Risk management and compliance in analytics

Strategic Decision-Making with Big Data

  • Strategic planning and goal alignment
  • Scenario analysis and predictive modeling for decision support
  • Business intelligence tools and dashboards
  • Developing a data-driven business strategy

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