Data Wrangling with Python (Beginner)
In this quest, you will embark on a journey to learn the essential techniques of data wrangling using Python. Data wrangling is the process of cleaning, restructuring, and enriching raw data into a format suitable for analysis. This quest will guide you through the foundational concepts and practical applications of data wrangling, focusing on libraries such as Pandas and NumPy. You will learn how to handle missing values, filter data, merge datasets, and perform transformations to prepare your data for analysis. By the end of this quest, you will have the skills to manipulate datasets confidently and gain insights that can drive decision-making.
• Understand the importance of data wrangling in the data analysis process.
• Learn how to use Pandas for data manipulation and analysis.
• Gain skills in handling missing data and performing data cleaning.
• Explore techniques for merging and reshaping datasets for better insights.
