Data Wrangling with Python

This specialization covers various essential topics such as fundamental tools, data collection, data understanding, and data preprocessing. This specialization is designed for beginners, with a focus on practical exercises and case studies to reinforce learning. By mastering the skills and techniques covered in these courses, students will be better equipped to handle the challenges of real-world data analysis. The final project will give students an opportunity to apply what they have learned and demonstrate their mastery of the subject

• Define data collection techniques from multiple sources including files, web, and databases
• Identify statistical analysis and visualization techniques to gain insights
• Calculate and apply data preprocessing methods like handling missing values, outliers, and normalization

• Basic computer and internet skills
• Ability to read English instructions and complete short practice activities