Data Engineering Courses
So what is data engineering?
Data engineering is the process of collecting, storing, and preparing large sets of data for use in machine learning and other data-driven applications. It involves tasks such as data acquisition, data cleaning, and data transformation, and is crucial for the success of modern machine learning breakthroughs. Without well-structured and clean data, machine learning models will not perform well, and the insights and predictions they generate will be unreliable. Data engineers play a vital role in ensuring that the data used in machine learning is of high quality, accurate, and accessible, which enables data scientists and other professionals to focus on building and training models.