Analytical skills course

Lesson 1 • Structuring Your Thinking Process

Introduces step-by-step frameworks for organising thought before acting. Connects disciplined process to more reliable conclusions.

Lesson 2 • What Analytical Thinking Really Means

Defines analytical thinking and contrasts it with intuition and opinion. Establishes shared vocabulary used throughout the course.

Lesson 3 • Cognitive Biases That Distort Analysis

Identifies the most common mental shortcuts that corrupt reasoning. Learners recognise bias triggers in realistic workplace scenarios.

Lesson 1 • Evaluating Source Credibility

Provides criteria for assessing accuracy, authority, currency, and bias in sources. Learners apply a credibility rubric to real-world information samples.

Lesson 2 • Organising and Synthesising Information

Teaches methods for sorting, grouping, and summarising large information sets. Synthesis skills connect raw data to actionable insight.

Lesson 3 • Reading and Interpreting Basic Statistics

Covers mean, median, mode, variance, and correlation without requiring advanced maths. Builds confidence in reading statistical summaries found in reports.

Lesson 1 • Scoping and Bounding the Analysis

Defines what is inside and outside the analytical scope to prevent scope creep. Clear boundaries make analysis feasible and focused.

Lesson 2 • Hypothesis-Driven Problem Solving

Introduces the hypothesis-first approach used in consulting and research. Learners draft, test, and revise hypotheses against evidence.

Lesson 3 • Problem Decomposition Frameworks

Introduces MECE logic, issue trees, and fishbone diagrams for breaking problems apart. Each tool is matched to specific problem types.

Lesson 4 • Stakeholder Mapping for Problem Clarity

Identifies whose perspectives shape the problem definition and solution criteria. Stakeholder input prevents blind spots in the analytical frame.

Lesson 1 • Constructing Clear Arguments

Teaches claim-evidence-warrant structure for building persuasive, logical arguments. Well-structured arguments are the output of rigorous analysis.

Lesson 2 • Identifying and Avoiding Logical Fallacies

Catalogues the most common formal and informal fallacies encountered at work. Learners practise spotting and naming fallacies in realistic examples.

Lesson 3 • Deductive and Inductive Reasoning

Explains the mechanics and appropriate uses of deductive and inductive logic. Learners practise applying each mode to workplace reasoning tasks.

Lesson 1 • Comparative and Benchmarking Analysis

Introduces structured comparison against internal targets and external benchmarks. Comparison reveals performance gaps and improvement opportunities.

Lesson 2 • Trend Analysis and Forecasting Basics

Teaches identification of trends in time-series data and simple projection methods. Trend reading is foundational to planning and performance analysis.

Lesson 3 • Working with Ratios and Percentages

Builds fluency in calculating and interpreting ratios, percentages, and percentage change. These are the most common quantitative tools in business analysis.

Lesson 4 • Prioritisation Using Quantitative Criteria

Applies scoring matrices and weighted criteria to rank options objectively. Quantitative prioritisation reduces subjectivity in high-stakes decisions.

Lesson 1 • Standards of Evidence in Professional Contexts

Defines what counts as strong evidence across different professional domains. Learners apply domain-appropriate evidence standards to analytical tasks.

Lesson 2 • Weighing Competing Evidence

Teaches how to adjudicate between contradictory data sets and conflicting expert views. Balanced weighing produces more defensible analytical conclusions.

Lesson 3 • Evaluating Research and Reports Critically

Provides a structured method for critiquing studies, reports, and white papers. Critical reading prevents uncritical adoption of flawed conclusions.

Lesson 1 • Dealing with Ambiguity and Incomplete Data

Provides strategies for making sound decisions when full information is unavailable. Learners distinguish productive action from premature closure.

Lesson 2 • Decision Frameworks and Models

Surveys cost-benefit analysis, decision matrices, and expected value thinking. Each framework is matched to specific decision contexts.

Lesson 3 • Documenting and Communicating Decisions

Establishes practices for recording decision rationale, assumptions, and trade-offs. Transparent documentation enables review, learning, and accountability.

Lesson 1 • Data Visualisation Principles

Covers chart selection, visual hierarchy, and avoiding misleading graphics. Effective visuals accelerate audience comprehension of analytical findings.

Lesson 2 • Tailoring Communication to the Audience

Adapts analytical depth, language, and format to technical and non-technical audiences. Audience-aware communication maximises the impact of analysis.

Lesson 3 • Presenting Findings and Recommendations

Builds skills for delivering analytical presentations that lead to decisions. Learners practise structuring the narrative from insight to recommendation.

Lesson 4 • Receiving and Integrating Feedback

Develops the ability to evaluate critique of analytical work objectively. Integrating feedback improves both the analysis and the analyst.