Data Wrangling Techniques with Python (Intermediate)
In this quest, you will dive deep into the essential techniques of data wrangling using Python. Data wrangling, or data munging, is the process of transforming and mapping raw data into a more usable format. This quest will cover key libraries such as Pandas, NumPy, and Matplotlib to help you manipulate datasets, handle missing values, and visualize data effectively. Throughout the quest, you will engage in hands-on exercises that simulate real-world data challenges and learn how to clean, transform, and prepare data for analysis. By the end of this quest, you will be equipped with the skills to tackle data wrangling tasks confidently, enhancing your ability to derive insights from complex datasets.
• Understand the data wrangling process and its importance in data analysis.
• Learn to manipulate and clean data using Pandas and NumPy.
• Handle missing values and outliers effectively in datasets.
• Visualize data distributions and transformations using Matplotlib.
