To become a data scientist, is it better to be a generalist or a specialist?
The answer: you need to be both.
There is a very broad set of requirements to work as a data scientist, and you need familiarity with all of them to do the job:
* Data loading
* Data manipulation
* Feature engineering
* Model selection
* Model tuning
* Model evaluation
* Coding
* Visualization
* Report creation
* Presenting
* Business acumen
* Etc
What you also need:
👉 One area of specialization where you bring unique expertise to the team.
Data science is a team sport, and in order to build an effective team, you need complimentary skills that lift the team above the sum of its parts.
Each individual should be able to function on their own, but also contribute a unique skills set to the team.
👉 Agree or disagree?
#datascience #teams #aspiring #DataScientists
❇️ @AI_Python
🗣 @AI_Python_Arxiv
✴️ @AI_Python_EN
The answer: you need to be both.
There is a very broad set of requirements to work as a data scientist, and you need familiarity with all of them to do the job:
* Data loading
* Data manipulation
* Feature engineering
* Model selection
* Model tuning
* Model evaluation
* Coding
* Visualization
* Report creation
* Presenting
* Business acumen
* Etc
What you also need:
👉 One area of specialization where you bring unique expertise to the team.
Data science is a team sport, and in order to build an effective team, you need complimentary skills that lift the team above the sum of its parts.
Each individual should be able to function on their own, but also contribute a unique skills set to the team.
👉 Agree or disagree?
#datascience #teams #aspiring #DataScientists
❇️ @AI_Python
🗣 @AI_Python_Arxiv
✴️ @AI_Python_EN
What skills should you start learning to become a data scientist?
I've had a lot of people ask me that recently, but it's really the wrong question.
Try this instead -
➡️ 1. Choose a problem (and dataset) that you find interesting
➡️ 2. Begin trying to solve the problem
➡️ 3. When you get stuck because your skill set is limited, go learn that skill
For example, if you get stuck...
- loading the data into a dataframe/table, then learn pandas or SQL
- identifying outliers, then study stats
- figuring out what to do with missing data, then learn when to remove data, replace values, impute values, etc
- building a regression model that makes good predictions, then learn about regression techniques
👉 There are 2 big differences when you take this approach:
1. You don't waste time guessing what you need to know
2. You're highly motivated to learn at every step of the way
This eliminates the scenario where you're learning a subject because someone else told you it's a good idea.
👉 Now you're learning because you NEED that knowledge for something useful.
Start using this approach in your studies and you'll also see that you're learning more quickly and completely.
#datascience #aspiring #datascientist
✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_arXiv
I've had a lot of people ask me that recently, but it's really the wrong question.
Try this instead -
➡️ 1. Choose a problem (and dataset) that you find interesting
➡️ 2. Begin trying to solve the problem
➡️ 3. When you get stuck because your skill set is limited, go learn that skill
For example, if you get stuck...
- loading the data into a dataframe/table, then learn pandas or SQL
- identifying outliers, then study stats
- figuring out what to do with missing data, then learn when to remove data, replace values, impute values, etc
- building a regression model that makes good predictions, then learn about regression techniques
👉 There are 2 big differences when you take this approach:
1. You don't waste time guessing what you need to know
2. You're highly motivated to learn at every step of the way
This eliminates the scenario where you're learning a subject because someone else told you it's a good idea.
👉 Now you're learning because you NEED that knowledge for something useful.
Start using this approach in your studies and you'll also see that you're learning more quickly and completely.
#datascience #aspiring #datascientist
✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_arXiv