What are the key skills required to excel in a hands-on data science role?

Data science is a multi-faceted role. There is no one-size-fits-all approach to learning data science. Having said that, there are a few core skills you will need to pick up to make a successful career transition to data science.

Here are the key skills you would need:

  • Programming Language
  • Statistics
  • Machine learning concepts
  • Structured thinking
  • Ability to work with Databases
  • Communication skills

Apart from these core skills, there are other skills you should be aware of, such as:

  1. Deep Learning concepts
  2. Big Data
  3. Software Engineering
  4. Model Deployment

The role of a data scientist requires good quantitative skills as well. So if you are coming from a non-quant background make sure to strengthen your quant skills!

The 14 Must-Have Data Science Skills

  1. Fundamentals of Data Science
  2. Statistics
  3. Programming knowledge
  4. Data Manipulation and Analysis
  5. Data Visualization
  6. Machine Learning
  7. Deep Learning
  8. Big Data
  9. Software Engineering
  10. Model Deployment
  11. Communication Skills
  12. Storytelling Skills
  13. Structured Thinking
  14. Curiosity