Entering the field and becoming a successful data scientist
It’s been fascinating to watch the field of data science develop over the past decade. This has been primarily driven by an increase in awareness of the value that data analytics can offer.
People who are looking to transition into the field of data science and build a career often ask me for advice on how to go about this. Based on the conversations in this book, and my own views, we can offer the following recommendations.
To become a data scientist, you first and foremost need to develop a strong foundation in the core technical skills required to do the job. These core skills are even more important if you plan to pursue a career in research. The technical skills required to perform data analysis, and develop machine learning models include the following:
- Mathematics and statistics:
- Linear algebra
- Calculus
- Optimization theory
- Frequentist and Bayesian statistics, including probability theory
- Computer...