- 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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About Me: I am a Machine Learning Engineer, with over two 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 a Bachelor's Degree in Computer Science, Nanodegrees in Deep Learning and Artificial Intelligence, and a keen interest in all things Data Science.
My Courses: I follow the agile development methodologies to design, create, and publish my courses. I follow small manageable sprints to update my courses regularly by either adding new content to existing courses or creating an entirely new course. This allows me to not only respond to and structure my courses based on direct student feedback, but also, to add the latest skill in demand as quickly as possible.