Neerja Jhingan

Master’s In Computer Science – IBM Data Science Professional Certified. 7+ Experience in Web Development, 2+ Years Experience as Data Science Instructor

TRAINING ROADMAP

  • What is Data Science.
  • Why we should choose Data Science Career.
  • Different Roles in Data Science.
  • Skills required to learn Data Science.
  • Real time examples of Data Science.

Introduction to Data Science

Data Science is a blend of various tools, algorithms, and machine learning principles with the goal to discover hidden patterns from the raw data.

Why we should choose Data Science Career?

  • Sky-High Salaries
  • High In Demand
  • Easy to grab Job
  • Plenty of Work Options
  • Challenging Work

What are different roles or career pathway in Data Science

Entry Level Role
Mid Level Role
Advanced Level Role

Skills Required to Learn Data Science

Skills Required to learn based on popular role

Real Time Data Science Examples

  • Fraud and Risk Detection
  • Identifying and predicting disease
  • Website Recommendations
  • Advanced Image Recognition
  • Speech Recognition
  • Airline Route Planning
  • Gaming