Data science is a technical field; hence, having expertise in a related skill set
is always beneficial. However, nowadays, many freshers are interested in
learning more about data science; hence, Pickl has created a data science course
for beginners. This course covers the concepts of data science from scratch that
help you gain expertise in all the aspects of data science. However, to become a
data science expert, one has to master both technical and non-technical aspects.
Machine Learning- It the backbone of data science. Having a
command in machine learning ensures better implementation of data science tools.
Modeling- It helps make faster calculations and predictions
based on what you already know about the data.
Statistics- You need to master to become a data science
professional is statistics. Since you will be using many statistical formulas in
data interpretation, having expertise in statistics will always give you an
Programming- Programming language is always beneficial. Python
is a universal programming language, and having the expertise in it helps you
grasp data science concepts and implement them more effectively.
Non-technical skill set
In addition to mastering the technical skill set, having the expertise in
non-technical skills like the following will always help you excel
- Decision-making skill
- Leadership quality
- Communication skills
- Presentation skills