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Python for Data Science: From Fundamentals To Advanced

Learn Python Data Science. First learn the fundamentals of Python programming and then Numpy & Pandas.
Course from Udemy
 180 students enrolled
 en
How to create and work with variables, data structures, looping structures, decision structures, and functions.
How to work with nested data, iterate through nested data, and utilize list comprehension for transformation and filtration.
Numpy: create and work with arrays.
Pandas: create and work with the two main data structures: Series and DataFrame. You will focus on the second and see how to use it for data manipulation and data science.

We will prepare you to use Python for Data Science.

We start by illustrating Python programming fundamentals. You will learn about variables, data types, data structures (lists, sets, tuples, dictionaries), decision and looping structures,  and functions.

Next, I have a whole section on how to work with nested data, nested iteration and list comprehension. These are more advanced topics that build on the fundamentals. This section makes it much easier to understand the specific data science libraries covered next.

We then turn to working with libraries that are built on top of 'pure' or 'base' Python and are used for data analysis, data manipulation, and data science. These libraries were designed to help make data science work easier and more flexible. You will work with Numpy and Pandas.



Python for Data Science: From Fundamentals To Advanced
$ 94.99
per course
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