Introduction
Starting a career in data science can be exciting, but it can also be challenging. As a new data scientist, you may be unsure of what to expect or how to navigate your first job. In this blog, I will discuss seven common mistakes that new data scientists should avoid in their first job.
1. Not Building a Strong Foundation in Mathematics and Statistics
Data science is a highly technical field that requires a strong foundation in mathematics and statistics. Many new data scientists may have only a superficial understanding of these subjects, which can lead to problems in their first job. To avoid this mistake, it is important to study these subjects in depth before starting a data science job. This will help you to understand the underlying principles of data science and to develop the skills you need to succeed in the field.
2. Not Asking Enough Questions
As a new data scientist, you may be hesitant to ask questions for fear of looking inexperienced or foolish. However, asking questions is an essential part of learning and growing in your first data science job. Don’t be afraid to ask questions about the data, the algorithms, or the business problem you are working on. This will…
