London Leadership Management Innovation llmi.uk
info@llmi.uk
Data Management and Business Intelligence · DMBI-001

Advanced Data Analysis Techniques

5 daysClassroom
13Upcoming dates
5Cities
£3,850Fees from

Course overview

Why Attend

Data-driven decision-making is now essential across all industries, from engineering and construction to business and technology. This course equips participants with advanced data analysis techniques to transform raw data into meaningful insights that support strategic and operational decisions. Participants will learn how to handle complex datasets, apply statistical and analytical methods, and use modern tools to identify trends, patterns, and performance indicators. By attending, you will significantly improve your ability to support evidence-based decisions, optimize processes, and enhance organizational performance.

Course Methodology

This course combines conceptual explanations with hands-on practice using real-world datasets. Participants will engage in guided exercises, case studies, and problem-solving sessions. Practical demonstrations using analytical tools (such as Excel advanced functions, Power BI, or Python-based analysis concepts) will be included depending on the training level. Group discussions and scenario-based learning will help reinforce applied analytical thinking.

Course Objectives

By the end of this course, participants will be able to:

Target Audience

Target Competencies

Course outline

Day 1: Foundations of Advanced Data Analysis
  • Role of data analysis in decision-making
  • Types of data and data structures
  • Data lifecycle: collection, processing, analysis
  • Introduction to descriptive and inferential analytics
  • Overview of analytical tools and environments
Day 2: Data Preparation and Transformation
  • Data cleaning techniques and error handling
  • Handling missing data and outliers
  • Data normalization and transformation methods
  • Data integration from multiple sources
  • Building structured datasets for analysis
Day 3: Statistical Analysis and Interpretation
  • Descriptive statistics and summary measures
  • Probability concepts in data analysis
  • Correlation and regression analysis
  • Hypothesis testing fundamentals
  • Interpretation of statistical outputs
Day 4: Data Visualization and Insights
  • Principles of effective data visualization
  • Charts, dashboards, and reporting techniques
  • Storytelling with data
  • KPI tracking and performance dashboards
  • Introduction to BI tools (e.g., Power BI concepts)
Day 5: Predictive Analytics and Practical Applications
  • Introduction to predictive modeling concepts
  • Trend analysis and forecasting techniques
  • Decision-making using analytical models
  • Case studies from real-world industries
  • Final project: end-to-end data analysis exercise

Dates and fees

DatesCityFee
21 - 25 Dec 2026Barcelona, Spain£3,850
18 - 22 Jan 2027Amsterdam, Netherlands£4,250
15 - 19 Feb 2027London, United Kingdom£4,200
15 - 19 Mar 2027Munich, Germany£4,250
19 - 23 Apr 2027Barcelona, Spain£3,850
17 - 21 May 2027Rome, Italy£4,250
21 - 25 Jun 2027Munich, Germany£4,250
19 - 23 Jul 2027London, United Kingdom£4,200
16 - 20 Aug 2027Barcelona, Spain£3,850
20 - 24 Sep 2027Amsterdam, Netherlands£4,250
18 - 22 Oct 2027London, United Kingdom£4,200
15 - 19 Nov 2027Munich, Germany£4,250
20 - 24 Dec 2027Barcelona, Spain£3,850
London Leadership Management InnovationRegister at llmi.uk/course/advanced-data-analysis-techniques