From the course: Python Data Analysis

What you need to know - Python Tutorial

From the course: Python Data Analysis

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What you need to know

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- [Instructor] Before you take this course, you'll want to have a basic working knowledge of programming in Python. Although we will review the aspects of Python that are essential to any data analysis task, I will not teach you every feature that we will need. It will also be helpful to have an understanding of basic mathematical and statistical concepts, such as logic operations, functions, averages, minima and maxima, and so on. In the future, as you move from basic data analysis into data science, you will need a deeper knowledge of mathematics and statistics and a familiarity with the particular field that you are studying. However, a strong programming foundation and being able to rely on a robust tool such as Python will make it easier for you to learn mathematics and statistics, not just by studying and reading, but also by practical experimentation. Nowadays, in addition to many resources on the web and in the literature, you can rely on assistance from large language models. They seem to know a lot about programming and even about data analysis libraries. I encourage you to take full advantage of them. However, the basic knowledge and context that you will learn here will help you ask the right questions and identify cases where the neural network is just making things up.

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