How To Develop A Custom Data Science Learning Plan
The road to data science success is a four lane, well marked, paved highway
Many of a career’s hardest decisions stem from our deepest fears and our highest hopes. Many of career’s hardest decisions challenge our identity, only to fortify who we truly are. Many of career’s hardest decisions reveal the distance between who we are and who we aspire to be.
In the process of helping mid- and late-career professionals transition their career into data science I am constantly, almost on a daily basis, engaged in helping folks decide:
- What to study; Which books to buy; Which courses to take
- How to study; How much to study
- When to study; For how long to study
- What not to study.
Many of a career’s hardest decisions aren’t about choosing the right path, but about the journey we undertake. 👣 👣 👣 Will you go this way? Or that?
This article will explore why some folks sometimes have a difficult time deciding the best path forward on the data science learning journey. It will also summarize the major topics and learning objectives from two of the world’s leading data science bootcamp providers.
