Python For Data Science: From Fundamentals To Advanced

Python is a general-purpose programming language that is increasingly popular for data science. It is easy to learn and use, and it has a rich ecosystem of libraries and tools for data analysis and machine learning.

This online video course will teach you everything you need to know to use Python for data science, from the fundamentals to advanced topics. You will learn about the different Python libraries and tools used for data science, such as NumPy, Pandas, matplotlib, and sci-kit-learn. You will also learn how to use Python to perform common data science tasks, such as data cleaning, data exploration, and data visualization.

Python For Data Science: From Fundamentals To Advanced Course Overview

Python For Data Science: From Fundamentals To Advanced course is designed to prepare learners to use Python for Data Science.

We begin by outlining the basics of Python programming. Variables, data types, data structures (lists, sets, tuples, dictionaries), decision and looping structures, and functions are among the concepts you will study.

The handling of nested data, nested iteration, and list comprehension are all covered in detail. These subjects expand on the principles and are more complex.

The next step is to work with libraries that are designed for data analysis, data manipulation, and data science and are constructed on top of "pure" or "base" Python. The purpose of these libraries is to facilitate easier and more adaptable data science work. You will use Pandas and NumPy.

Who this course is for:

• You should start learning from the basics. You should become familiar with Python (standard/base) first, and then build on that knowledge by studying the libraries that are pertinent to data science.

• Beginners in Python

• Those just starting out using Python for data science