Neerja Jhingan
Master’s In Computer Science – IBM Data Science Professional Certified.
7+ Experience in Web Development, 2+ Years Experience as Data Science Instructor
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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.
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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.
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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
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Skills Required to learn based on popular role
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Real Time Data Science Examples
- Fraud and Risk Detection
- Identifying and predicting disease
- Website Recommendations
- Advanced Image Recognition
- Speech Recognition
- Airline Route Planning
- Gaming