Course: Data Science for Climate Change

In the previous article, you learned about the process of CRISP-DM. Now we will explain the roles of the people involved in accomplishing the process. If you recall, the CRISP-DM …

CRISP-DM is the methodology we recommend using in data science projects. Business understanding A data science projects starts with business understanding. At this stage, problem definition, project objectives, and model …

In this video, Ahmed explains the six phases of the cross-industry standard process for data mining, CRISP-DM. These phases are: Business understanding Data understanding Data pre-processing Modelling Evaluation Deployment

A dashboard is the use of visual representations to explore, make sense of, and communicate data. It often includes charts, graphs, illustrations, etc. Most developments in visualization have occurred in …

During week one, we introduced different data sources such as the European Commission and Statista. In this article, we attempt to analyze one of them. We encourage you to actively …

In this video, Ahmed describes visualization as the graphic representation of data. You will also learn about different types of visual elements, and how they can be used in a …

As you now know, data science is about collecting and evaluating data in different environments and situations. In the second week of the course, we will talk about visualising and …

To start with, there is plenty of data science algorithms to use and they come from various backgrounds such as machine learning, statistics, mathematics, management science, etc. Generally speaking, algorithms …

Earlier, in activity three, we introduced different data sources such as the European Commission and Statista. In this article, we attempt to analyze one of them. Datasets of different formats …

In the previous article, we presented several different types of algorithms. In this one, we put some of them into use to address one of the climate change concerns. So, …

In this video, Ahmed explains three different kinds of analytics: Descriptive: The type of analytics that all organizations should start with. Predictive: Once the organization effectively understands what happens and …

In this article, you will learn about the different data architecture options used to manage data in various data science projects. Organizations understand that their ability to generate actionable insights …

We live in an era where we are constantly flooded with various types of information, or as we call it, data. This data has become the backbone of the organizational …

In this video, Ahmed will introduce you to the concept of “Big Data”. You will be given a brief explanation of what Big Data is, and what the opportunities and …

In this video, Ahmed gives you a deeper understanding of how data science penetrates our society and everyday lives. You will also learn how and when algorithms were used by …