The Blue Line's Premium Catalogue

Take this module to learn how to effectively initiate and sustain multi-stakeholder partnerships. Your instructor for this module is Dr. Robert Anderson. 

Take this module to find out how to develop and sustain personal and organizational resilience, by exploring different ways you and your employees can cope with stress that accompanies change.Your instructor for this module is Ms. Sabine Bhanot. 

In this module, you’ll build vital coaching skills using a simple model that will help you get started on boosting the confidence and problem-solving abilities of your team.Your instructor for this module is Dr. Monique Valcour. 

In this module, you will learn how to successfully apply the concepts and tools provided in a CBI to facilitate recruitment in your organization.Your instructor for this module is Ms. Nancy Raphael.

Today, we observe organizations everywhere adjusting to the reality of high amounts of available data, anywhere and almost everything. This is the data revolution. The recently launched UN Secretary - General's Data Strategy identifies data and analytics as a crucial and strategic asset for greater impact on the ground. And emphasizes that data has not fully met its potential yet. This course is a step forward to strengthening UN staff capacities in data collection, management and use. To deliver a stronger support, to those we serve.

Predictive analytics can enable us to make better decisions and formulate data-informed strategies. However, when applying predictive analytics, we need to think about the social impact of its application. It is not just a purely mathematical model when used in the wilder operation. We need to take into consideration its risks and limitations.

Data analytics is often visualized as something difficult, with experts immersed in the analysis of complex spreadsheets. But as any other set of tasks with clear objective, data analytics is a data science project. A good understanding of project management facilitates its implementation.

The main tasks of a data analytics project are data preparation and data analysis. Once we have collected our data, we need to ensure it is ready for analysis. Correcting data errors, validating data quality, and ensuring data privacy so to speak. Then, we follow the concepts and principles of data analysis to build statistical models. We will unleash the power of data from these processes. 

In the world of data, we need to base our decisions on facts. In the past, accessing the right data and exploring it was, in many cases, an almost impossible task. But today, accessing data is key to making decisions at any level, either in the private or public sector.

The value of data is not unleashed until we understand it and we can communicate it. We visualize data to make a point, to deliver a message. Sometimes, there is a temptation to use all kind of tricks to make the message more attractive. Or, other times we erroneously use the wrong chart type or design elements. Doing this can end up in misusing the data and manipulating information. 

When was the last time you opened Excel or PowerPoint and clicked on a graph available in templates to quickly and effortlessly generate a graph? While templates can save us a lot of time and effort, they often don’t incorporate design best practices. This means that you’re likely to end up with graphs that are cluttered, confusing, redundant, and not engaging at all. Data visualization best practices teach us about how to make tiny design changes that can ultimately help us communicate the visual message more clearly and in a more engaging manner.

Data and storytelling might sound like two distinct concepts. Data is usually perceived to be exact, credible, and somewhat unimaginative. On the other hand, storytelling makes us think of culture, creativity, and narratives. In data storytelling, the two concepts come together to deliver a powerful message. One that is engaging for the audience, but also highly credible.

Let’s switch the gear and face the future! Predictive analytics involves the use of current and historical data, statistical algorithms and machine learning techniques to identify the likelihood of future outcomes. With the increase of data availability, predictive analytics have become ubiquitous in many areas for the common good. The UN applies predictive modeling in areas such as humanitarian response, demographic evolution, and prediction of armed conflicts.

Machine Learning (ML) techniques are tools used in predictive analytics to find underlying patterns within complex data automatically. ML uses programmed algorithms that analyze input data to predict output values. The power of machine learning algorithms exceeds human capabilities, and their applications are endless.

In this module you will learn how to make the most out of delegation. You are going to find out some interesting facts about yourself and your own working and delegation style and will learn to delegate effectively using a 5-step model.Your instructor for this module is Dr. Robert Anderson. 

In this module you will learn how to make the most out of delegation. You are going to find out some interesting facts about yourself and your own working and delegation style and will learn to delegate effectively using a 5-step model.Your instructor for this module is Dr. Robert Anderson. 

One of the challenges of working on evaluation is that often evaluation terms are defined and used in different ways by different people. In this module we will identify the key elements of transformative evaluation and the different components that articulate the evaluation logic. We will discuss the relevance of including ethics, gender and human rights as well as stakeholders' participation in the evaluation process.This course has been developed by UNSSC in coordination with Dr. Glenn O'Neil.

This module will focus on the process of scoping the evaluation, and therefore, on the responses to questions about what use, and what users should lead to the process of forming the Key Evaluation Questions (KEQs). This module has been developed by UNSSC in collaboration with Martha McGuire.

To get the most out of the evaluation process and to use your time and resources efficiently, you need to plan in advance. In this module, we will articulate some of the most relevant steps and key milestones in planning and managing an evaluation.This course has been developed by UNSSC in collaboration with Dr. Louise Caffrey and Dr. Edurne Garcia Iriarte.

Evaluation design is a description of how data will be collected, analysed and reported to answer Key Evaluation Questions. It is not just a list of indicators, because indicators by themselves are usually not enough to answer Key Evaluation Questions, and, because it needs to include more detail about where the data will come from and how to ensure quality data.This course has been developed by UNSSC in collaboration with Patti Phillips.