Udemy – Pandas & Numpy for Data Science – The Right Way 2024 2024-1

Udemy – Pandas & Numpy for Data Science – The Right Way 2024 2024-1 Downloadly IRSpace

Apr 18, 2025 - 04:52 Updated: Apr 21, 2025 - 11:12

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Udemy – Pandas & Numpy for Data Science – The Right Way 2024 2024-1

Pandas & Numpy for Data Science Course – The Right Way 2024. This course teaches you how to use the powerful NumPy and Pandas libraries for data manipulation and analysis. You will be familiar with the basic and advanced concepts of these libraries and will be able to load, clean, process and analyze data from various sources.

This course goes beyond textbooks and universities and takes you deeper into the world of data science with NumPy. By incorporating practical examples, we ensure that you can effectively apply NumPy to real-world scenarios. Learn how to manipulate arrays, perform complex calculations, and use NumPy’s powerful playback capabilities. The course is designed for maximum efficiency, allowing you to learn more about NumPy in less time. As you progress, you’ll find that each NumPy topic is interconnected, providing a cohesive learning experience. Enter the world of NumPy and master data manipulation and analysis, and use NumPy as an essential tool for your data science projects. NumPy is the backbone of scientific computing in Python, and our course ensures that you’ll become proficient in using NumPy for all your data needs. Mastery of NumPy is critical for any data scientist, and our course ensures that you end up proficient in NumPy.

What you will learn

Understanding NumPy and Pandas data structures
Load data from various sources such as CSV files, Excel, database, etc
Data cleaning and preprocessing techniques include dealing with missing data, dealing with outliers, and removing duplicate data.
Filtering, sorting, grouping and aggregating data to extract insights
Working with date and time data, including parsing date strings, converting data types, and performing date-based calculations

This course is suitable for people who

Data Analysts: Professionals who work with data to extract insights and make data-driven decisions will benefit from this course. They can learn how to use Pandas, a powerful tool in the data analysis toolbox, to efficiently manipulate and analyze data.
Data science and machine learning students