Description
500 Exercises to Master Python Pandas Course Who is this course for? This course is aimed at those who want to take a step into the field of data science, as well as beginner to advanced data analysts, data scientists, and data engineers. Most of the exercises are based on my experience as a data scientist with real-world datasets, so you can benefit from this course even if you already use Pandas in your work. If you have never used Panda before or have little experience, you can learn a lot because the exercises are simple and easy to understand. All you need is basic Python knowledge.
What is required for this course? The lectures are structured because I explain exercises using Jupyter notebooks. Notebooks can be found in the description of each lecture. If you want to download and follow the notebooks, be sure to download the corresponding datasets in the data folder in the course repository. You will also need to install Jupyter Notebook on your computer. You can also use Google Colab, which allows you to run Jupyter Notebook in your browser for free.
Course structure
This course is divided into 6 chapters:
- introduction
- Data exploration and manipulation
- Data filtering
- Composition of DataFrames
- More about me”
- Used
- More tutorials
Each chapter contains several lectures, each focused on a specific task, such as filtering a DataFrame, building multi-step pipelines, and using Python dictionaries to extend the power of Pandas functions. When you complete this course, you will have solved at least 500 exercises and will be able to solve most problems involving tabular data.
What you will learn in the 500 Exercises to Master Python Pandas course
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Perform data cleaning and manipulation tasks with Pandas
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Data analysis and insight generation with Pandas
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Transforming and editing Pandas data structures
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Learning the basics of Python
This course is suitable for people who
- Beginner to advanced data analysts, data scientists, data engineers.
- Students or professionals who want to enter the field of data science.
Description of the course “500 Exercises to Master Python Pandas”.
- Editor: Udemy
- Surname: Soner Yildirim
- Training level: beginner to advanced
- Training duration: 7 hours and 57 minutes
- Number of courses: 24
Course headings
Prerequisites for the course “500 Exercises to Master Python Pandas”.
- Basic experience with the Python programming language
- Basic knowledge of data types (strings, integers, floating point numbers, Booleans)
- Basic knowledge of the data structures integrated in Python (list, tuple, dictionary)
Course pictures
Sample video of the course
installation Guide
After extracting, you can watch it with your favorite player.
Subtitles: None
Quality: 720p
Download link
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Size
2.9GB