Data Exploration, Analysis and Interpretation

In this practical interactive workshop, participants will learn a structured approach to exploring and analysing a data set to identify business relevant insights.

This workshop allows participants to apply what they learned in the Analytical Thinking for Decision Making and Data Visualisation Principles and Best Practices workshops. Participants will work in small groups to explore and analyse real-world data sets to identify relevant insights using the techniques taught in the workshop.


This workshop is intended for people who want to better understand the process of data exploration, analysis and interpretation so they can perform higher quality data analysis.

Learning Outcomes

At the end of the course participants will be able to:

  • Efficiently explore a new data set using descriptive statistics and exploratory data visualisation
  • Apply the “overview first, zoom and filter, and details on demand” approach to perform single and multi-dimensional analysis of a data set
  • Identify if an interesting finding identified in a data set is a spurious anomaly or a valuable business insight
  • Correctly interpret the results of data analysis in the context of the question being asked, problem being solved or decision to make

Course Agenda

Module 1 – Data Exploration & Analysis

  • Introductory Concepts
  • What is data exploration?
  • What is data analysis?
  • What is data interpretation?
  • What is the role of data exploration, analysis and interpretation in data driven decision making?
  • Data Exploration Techniques
  • Exploring data with descriptive statistics
  • Exploring data with data visualisation
  • Understanding data exploration outputs
  • Breakout activity – exploring a new data set
  • Data Analysis Techniques
  • Introduction to the “overview first, zoom and filter, and details on demand” approach
  • Single value analysis techniques
  • Multiple value analysis techniques
  • Using data visualisation for data analysis
  • Simple statistical analysis techniques
  • Breakout activity – analysing a data set

Module 2 – Data Interpretation

  • Data Interpretation Techniques
  • Qualitative data interpretation
  • Quantitative data interpretation
  • Applying analytical thinking to data interpretation
  • Breakout activity – Interpreting data analysis
  • Data Exploration, Analysis and Interpretation Mini-Project


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Why study with Alpha?

Innovation and creativity born from experience

We are thought leaders in instructional and learning journey design and holistic solution architects. We have extensive finance and investments experience combined with skills application to deliver performance improving results. We develop immersive learning environments that maximize time to productivity, support talent retention and added value to improving quality of hires.

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We are focused on mining the embedded organisational intellectual capital for the benefit of the next generation. We create and curate best in class practice gathered from our experience with the leading financial institutions. We design our programmes with the end in mind – what results are you trying to achieve with this intervention? What metrics will we set ourselves to achieve that?

Generation Proof

Quality and innovation, using current market and industry best practices, have made us a trusted partner in delivering dynamic and motivating training for the financial and capital markets. Our programmes are generation proof and responsive to evolving learner needs and styles. Our solutions use a multi-stakeholder engagement strategy that expands beyond relationships between the learner and learning provider. We create connections with managers, peers and the wider business to drive impactful return on investment..

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