Data Cleaning and Analysis with Pandas (Intermediate)
In this quest, you will dive deep into the world of data cleaning and analysis using the Pandas library in Python. You will learn how to handle messy datasets, perform data transformations, and analyze data effectively to extract meaningful insights. The quest covers essential techniques such as handling missing values, filtering data, grouping, aggregating, and merging datasets. By the end of this quest, you will be able to clean and analyze real-world datasets, making you a valuable asset in any data-driven organization. Prepare to enhance your data manipulation skills and become proficient in using Pandas for data analysis!
• Understand the importance of data cleaning and preprocessing.
• Learn how to handle missing data and outliers in datasets.
• Gain proficiency in data manipulation techniques using Pandas.
• Perform exploratory data analysis to uncover trends and patterns.
