Best Practices to become a Good Data Scientist or Machine Learning Engineer

There has been a large number of courses that teach the fundamentals of programming and data science. They do a good job in reinforcing various concepts in machine learning and show various steps that are usually followed when building a project with ML capabilities. While these courses mostly focus on the theoretical aspects of machine learning, it can be handy if one learns to put more emphasis on the good practices when building applications related to data science and machine learning. With the rise in data and an exponential increase in the compute power, there has been a rapid increase in the demand for people who would make use of the data and generate predictions along with useful insights depending on the use case of the project. Furthermore, there are numerous data related positions such as data engineer, data architect, data scientists, deep learning engineer and machine learning engineer.