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Skills needed to become a successful data scientist

Data scientists are big data wranglers. They take huge amount of messy data points (unstructured and structured) and clean, massage and organize them with their formidable skills in math, statistics and programming. Then they apply all their analytic powers to uncover hidden solutions to business challenges and present it to the business. In other words, Data scientists utilize their knowledge of statistics and modelling to convert data into actionable insights about everything from product development to customer retention to new business opportunities.

Data Scientist need to have both technical and non-technical skills to perform their job in an effective manner. Technical skills are involved at 3 stages in Data Science. They include:

  1. Data Capture & pre-processing
  2. Data Analysis & pattern recognition
  3. Presentation & visualization