Data-driven decision-making is a data-driven approach to making decisions to achieve desired outcome. More precisely, data-driven decision making is an…
There is a lot of confusion surrounding the job designations or titles such as "data analyst," "data scientist," and "data…
Testing the data that is being processed from Extract, Transform and Load (ETL) processes is a critical step in ensuring…
As technology advances, new data streaming solutions emerge to meet the ever-growing demand for real-time analytics. Two popular options are…
Data governance is a framework that provides data management governance. It's the process of structuring data so it can be…
This blog post is geared toward Environmental, Social & Governance (ESG) professionals looking to understand different aspects of ESG and…
When it comes to data storage, there are two distinct types of solutions that you can use—a data warehouse and…
Clustering is a type of unsupervised machine learning technique that is used to group data points into distinct categories or…
Have you ever heard of the term "Python Pickle"? If not, don't feel bad—it can be a confusing concept. However,…
For those in the analytics industry, designing and building data products is a critical part of the job. It’s important…
Computer science is an expansive field with a variety of areas that are worth exploring. Whether you’re just starting out…
Are you looking for free / popular datasets to use for your machine learning or deep learning project? Look no…
In this post, you will learn about some of the key challenges in relation to achieving successful AI / machine…
In this post, you will learn about the concepts and differences between online and batch or offline learning in relation…
This article represents some of the most common machine learning tasks that one may come across while trying to solve…
In this post, you will learn about the concepts of the moving average method in relation to time-series forecasting. You…