Are you an aspiring data scientist looking for a structured learning path? We’ve put together a complete data science roadmap to help you reach your goals. Through a series of milestones, this roadmap will serve as a step-by-step guide throughout your data science learning journey. To be a data scientist, you need a mix of […]

Are you looking to break into data science? If yes, learning SQL can help you gain foundational data skills, as well as ace technical interviews. Regardless of the data role that you are applying for: data analyst, data scientist, or data engineer, proficiency in SQL is mandatory. The prerequisites for being good at your data […]

Use Case Introduction Now that you’ve seen how data science can be applied in real life, we’ll walk through a step-by-step project on how to predict the likelihood of a stroke using machine learning, we’ll also attach a link to download the code and dataset in case you want to try building the model yourself. […]

Introduction Data science has revolutionized every aspect of our lives. From predicting diseases to finding the best route to your work, the enormous amounts of data generated every day make it almost impossible to just look the other way and not allocate all resources to get the most of it. In 2021, a staggering 79 […]

Introduction Artificial Intelligence has been witnessing a monumental growth in bridging the gap between the capabilities of humans and machines. Researchers and enthusiasts alike, work on numerous aspects of the field to make amazing things happen. One of many such areas is the domain of Computer Vision. The agenda for this field is to enable […]

Introduction Human crowd detection is one of the widely used features by governments and organizations these days, to control crimes or to detect if there are cases of fainting or to identify any movement around premises. The proposed system was implemented using OpenCV and YoloV5 with python to detect a person’s movements. To implement this […]

In this article, we will talk about Containerization and Virtualization concepts. We are going through the solutions like Docker, install it, and write some functionality on Linux operating system.Before we start talking about Docker we have to know first the concept of Containerization and Virtualization, we going first to Traditional Deployment to see how is […]

Dimensional Modeling Dimensional modeling is one of the data modeling techniques used for designing the data warehouses, It also considered a suitable technique for representing analytic data, because it understandably delivers data for users and is optimized for query performance which increases the data retrieval speed. Normalized databases are very useful in transactional processing because […]

1. What is ETL? ETL stands for Extract, Transform, and Load. ETL process starts by extract data from one or multiple sources, then, Transform this data to match the data warehouse schema, and finally load the transformed data to the data warehouse. ETL system should enforce data quality, consistency standards, and ensure that separated data […]

Introduction What if, a small sample of each baby’s saliva was sent out to a lab, where—for just a few dollars—the baby’s DNA was analyzed and a multitude of “risk scores” returned? These would not be diagnoses but instead, prognostication: This baby is at elevated risk for developing heart disease in 40 years, Is more […]

What is de-normalization? De-normalization is an optimization technique to make our database respond faster to queries by reducing the number of joins needed to satisfy user needs. In de-normalization, we mainly aim to reduce the number of tables that are needed by re-joining these tables together and add redundant data. De-normalization is commonly used with […]

What is Apache Airflow? Apache Airflow is a platform that will help you programmatically to design, schedule, and monitor big data pipelines, with a rich number of tasks you can execute and link together you can almost design any pipeline you have no matter how it is complicated In this article, we discover what are […]

Designing and understanding a data model is all about understanding the concepts and the options you have in your use case and what is the best use case for each design option you have, in this article we will go through the normalization types and understand how to implement each option and pros and cons […]

Our Use Case and Objective In this article, we demonstrate the data discovery process on a COVID-19 dataset, data discovery process is a necessary milestone in any data science project. We will cover the following topics What is Data Science In A Big Data World? Why Become Data Scientist? What are the most Frequently mentioned […]

English Tutorial Arabic Tutorial Transscript In some complex problems in data science, we find that the performance of our machine learning algorithm is very poor even after spending some time understanding the problem and performing some feature engineering. At that point, we realize that combining several machine learning algorithms may come to the rescue! Ensemble […]