Data Visualization

Xavier Rigoulet

Python Data Cleaning: A How-to Guide for Beginners

Have you ever wondered why your data analysis sometimes yields unexpected results or errors? Do you know how to ensure the data for your project is accurate and reliable? Are you curious about the tools and techniques data professionals use to clean messy datasets? Have you ever struggled with data containing misspelled words, mixed-case text, or missing values? Would you like to discover how Python, a versatile programming language, helps you automate the process of data cleaning?

Anuj Kumar Verma

Agile Data Science: Improving Your Workflow with Scrum

Within organizations, Scrum promotes efficient time and process management along with better team building and leadership. In order to implement Scrum, you'll need to follow a few simple rules. Introducing Scrum Today, we have the power to collect precise data both quickly and in vast quantities. In fact, 90% of the data available today was collected in the last two years alone. The rise of big data has greatly increased demand for data scientists, but the profession is one where few candidates possess the right skills.