- Introduction Lecture
- Volume Lecture
- Velocity Lecture
- Variety Lecture
- Veracity Lecture
- Validity Lecture
- Volatility Lecture
- Value Lecture
- Variability Lecture
- Viability Lecture
- Visualization Lecture
- Conclusion Lecture
This course is designed to be an in-depth overview of the field of Data Science. It teaches the students various Characteristics of Big Data as well as discuss a few types of Data that exists. After completing this course, you will have the knowledge that can be applied later on in your journey into this field when you're selecting an Algorithm, a Tool, a Framework, or even while making a Blueprint of how to deal with the current problem at hand.
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I am a Machine Learning Engineer, with three years of experience in the field of Data Science and Machine Learning. I am a Former Teaching Assistant for the Deep Learning Master's Degree Course and the Natural Language Processing Course. I have worked on a wide range of projects including, but not limited to, Real-time Vehicle Detection and Tracking, Financial Time-Series Forecasting, and Anomaly Detection in Images.