Big Data and Advanced Analytics applications in Industry

Course Information:

Online 20 hours Flexi-date£2,750.00
In-House Agreed with client FlexiblePOA
London 5 days 8 April 2024£4,250
London 5 days 9 September 2024£4,250
London 5 days 9 December 2024£4,250

If you are unable to attend this course on the dates above, please contact us to discuss alternative options.
Please note that prices shown above are exclusive of VAT (20%).

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    LCT Brochure 2024
    LCT Brochure 2024

    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.


      • 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


    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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    Big Data and Advanced Analytics applications in Industry


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