In this age of information, data is available everywhere and grows at an exponential rate. How can we make sense of all this data? How do we take advantage of data when making decisions? How do we use data to help us guide the management and planning of our policies?
Whether you're a citizen or a policymaker, learning the answers to these questions can benefit you greatly.
In this course, you will strengthen your ability to use, understand and interpret data. Using the “Numbers for Development" and “Caribbean Data Portal” platforms developed by the IDB - which presents data and socioeconomic indicators from the Latin American and Caribbean region - you will be able to understand how to improve the decision-making process in public management.
At the end of the course, you will have gained the tools to navigate data, perform and interpret visualizations, and understand the different types of data analysis according to the policy to be implemented.
Relax, it's not a statistics course! However, you will acquire the knowledge necessary to interpret graphs, statistical reports and understand their language. And, most importantly, you will acquire the foundations to be able to base your decisions on verifiable data, beyond intuition.
The course is based on real-life examples, so you can understand the different concepts and methodologies in a simple, practical and enjoyable way. Using different practical activities, you will be able to apply the acquired knowledge and practice with data and graphs. In addition, we will show you real IDB cases to promote analysis and present the realities to which experts from the region and the Caribbean are exposed. You will also face some creative challenges that will allow you to measure your abilities on a higher level of difficulty.
Finally, the course has readings and videos that enable you to generate a better understanding of course topics and participate in the discussion forums with a strong basis; open up areas for discussion with your colleagues around the issues and challenges raised during the course.
The estimated dedication to complete this course is 7 hours per week, for 6 weeks. However, through the self-paced mode you will have the flexibility to take the course for a maximum of 8 months, from March 15th, 2018 to November 15th, 2018.
Module 1: The Importance of Data in Decision-Making Module 2: Converting Concepts into Measurable Parameters Module 3: Understanding Data Analysis Module 4: Displaying the results Module 5: Closing the loop: from data to planning
MOOCs stand for Massive Open Online Courses. These arefree online courses from universities around the world (eg. StanfordHarvardMIT) offered to anyone with an internet connection.
How do I register?
To register for a course, click on "Go to Class" button on the course page. This will take you to the providers website where you can register for the course.
How do these MOOCs or free online courses work?
MOOCs are designed for an online audience, teaching primarily through short (5-20 min.) pre recorded video lectures, that you watch on weekly schedule when convenient for you. They also have student discussion forums, homework/assignments, and online quizzes or exams.
Frank Edward Paco Smithcompleted this course, spending 5 hours a week on it and found the course difficulty to be medium.
This coure was, undoubtedly, very informative. It was rigorous within certain respects, but definitely worthwhile, as it introduced valuable concepts and approaches concerning a subject that I believe shall prove useful in my consultancy undertakings.
I highly recommend this course for those with an interest in this critical area of concentration.