You also need to have Jupyter notebook installed on your computer. If you want to download the notebooks and follow along, make sure you also download the relevant datasets available in the data folder in the course repository. Notebooks can be found in the description of each lecture. All you need is a basic level of Python knowledge.What is needed to take this course?Lectures are structured as me going over Jupyter notebooks explaining exercises. If you have never used Pandas before or have little experience, you can learn a lot because the exercises are created in a way that is simple and easy-to-understand. Most of the exercises are based on my experience of working as a data scientist with real-life datasets so you can benefit from this course even if you are already using Pandas at your job. Who is this course for?This course is for those who plan to take a step into the field of data science and beginner to intermediate level data analyst, data scientist, and data engineers. Reshape and manipulate Pandas data structuresīasic experience with the Python programming languageīasic knowledge of data types (strings, integers, floating points, booleans)īasic knowledge of Python built-in data structures (list, tuple, dictionary) Perform data cleaning and manipulation tasks with PandasĪnalyze data and extract insights using Pandas Learn Python Pandas by solving exercises on data cleaning, data analysis, data filtering, and more. Language: English | Size: 3.19 GB | Duration: 7h 57m Free Download 500 Exercises To Master Python Pandas
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