Advanced Analytics for Measuring and Improving Social Impact

Course Description

This course offers a deep dive into the application of advanced analytics techniques for measuring and improving social impact. Participants will learn how to harness the power of data analytics to gain valuable insights, identify trends, measure outcomes, and optimise their social impact initiatives. Through hands-on exercises, case studies, and practical examples, participants will develop the skills and knowledge necessary to leverage advanced analytics tools and methodologies effectively, enabling them to make data-driven decisions and maximise their social impact.

Please note: That this training course is not open to individual participants. We only offer this training course for an organisation and tailor it to their context and needs. Please contact us by email (team@alerongroup.com) or phone (+44 (0)800 246 1319) to learn more about how your organisation can benefit from this training.


Course Outline

Module 1: Introduction to Advanced Analytics for Social Impact

  • Understanding the role of advanced analytics in social impact measurement

  • Exploring the potential of data-driven decision-making

  • Overview of key analytics techniques and tools

  • Ethical considerations in advanced analytics

Module 2: Data Collection and Preparation for Advanced Analytics

  • Identifying relevant data sources for social impact measurement

  • Data collection techniques and best practices

  • Data cleaning, integration, and transformation

  • Ensuring data quality and reliability

Module 3: Exploratory Data Analysis (EDA) for Social Impact

  • Introduction to exploratory data analysis techniques

  • Data visualisation and storytelling for impact communication

  • Identifying patterns, trends, and outliers in social impact data

  • Uncovering insights to drive decision-making

Module 4: Predictive Analytics for Impact Forecasting

  • Introduction to predictive analytics and its role in impact measurement

  • Data-driven forecasting models for impact projection

  • Techniques such as regression analysis, time series forecasting, and machine learning

  • Validating and refining predictive models

Module 5: Social Network Analysis for Stakeholder Mapping and Engagement

  • Introduction to social network analysis (SNA) for impact measurement

  • Identifying key stakeholders and their relationships

  • Analysing network structure, influence, and collaboration

  • Leveraging SNA for targeted engagement and partnership-building

Module 6: Text Analytics and Natural Language Processing (NLP) for Impact Evaluation

  • Introduction to text analytics and NLP for impact evaluation

  • Analysing textual data from surveys, interviews, and social media

  • Sentiment analysis, topic modeling, and entity extraction

  • Extracting actionable insights from unstructured text data

Module 7: Geographic Information Systems (GIS) for Spatial Impact Analysis

  • Introduction to GIS and its role in spatial impact analysis

  • Mapping and visualising social impact data

  • Analysing spatial patterns and hotspots of social issues

  • Utilising GIS for targeted interventions and resource allocation

Module 8: Impact Measurement Dashboards and Visualisation

  • Designing and creating impact measurement dashboards

  • Key performance indicators (KPIs) and data visualisation techniques

  • Interactive dashboards for impact monitoring and reporting

  • Using dashboards for stakeholder engagement and decision-making

Module 9: A/B Testing and Experimental Design for Impact Evaluation

  • Understanding the role of experimentation in impact measurement

  • Designing and conducting A/B tests for program evaluation

  • Randomised controlled trials (RCTs) and quasi-experimental design

  • Analysing and interpreting experimental results

Module 10: Continuous Improvement and Optimisation for Social Impact

  • Leveraging analytics for continuous improvement of social impact initiatives

  • Monitoring progress and measuring program effectiveness

  • Using optimisation techniques for resource allocation and impact maximisation

  • Incorporating feedback loops and adaptive management strategies


Course Duration

The course is designed to be delivered over a span of 10 weeks, with one module per week. However, the duration and intensity of the course can be adjusted according to the specific needs and requirements of your organisation and the participants.

Target Audience

  • Professionals working in the nonprofit and social sector

  • Social entrepreneurs and impact-driven business leaders

  • Program managers and project coordinators

  • Data analysts and researchers

Course Delivery Method

The course can be delivered through a combination of lectures, case studies, group discussions, hand-outs.

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