To excel as data scientist, you need to master both technical and non-technical skills sets. These are highlighted below:
Technical skill sets
- Programming languages like Python, R, C, C++
- Statistics
- Machine Learning
- Big Data
- Knowledge of SAS and other analytical tools
Non-technical skill sets
To become a successful data scientist, you not only need to develop technical skills but even excel at non-technical skills like:
- Good communication skills
- Leadership qualities
- Decision making
- Great at data intuition
Pickl.AI data science certification course in Seattle has been developed to incorporate all these aspects, making it a complete learning module for data science aspirants.