Analyze data quickly and easily with Python library and understand well the basics of the techniques used in prediction
Sub Category
- Data Science
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Objectives
- Organize, filter, clean, aggregate, and analyze DataFrames
- How to use Python as a programming tool to perform data analysis and exploration
- Perform a multitude of data operations in Python's popular pandas library including grouping, pivoting, joining and more
- Differentiate between a prediction and forecasting problem scenario and apply these concepts towards data led decision making.
Pre Requisites
- To get started with Predictive Modelling with Python a solid foundation in statistics is much appreciated. It takes a good amount of understanding to interpret those numbers to understand whether the numbers are adding up or not.
- Even if someone is not well equipped with the above-mentioned skill, it should not act as a hindrance as everything is possible with an honest effort and strong will.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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Coupon Code(s)