Data Science in Python: Data Prep & EDA

This badge is earned by successfully completing the Data Science in Python: Data Prep & EDA course at Maven Analytics. COURSE HOURS: 14.5 COURSE DESCRIPTION: This is a hands-on, project-based course designed to help you master the core building blocks of Python for data science. We'll start by introducing the fields of data science and machine learning, discussing the difference between supervised and unsupervised learning, and reviewing the data science workflow we'll be using throughout the course. From there we'll do a deep dive into the data prep & EDA steps of the workflow. You'll learn how to scope a data science project, use Pandas to gather data from multiple sources and handle common data cleaning issues, and perform exploratory data analysis using techniques like filtering, grouping, and visualizing data. Throughout the course you'll play the role of a Jr. Data Scientist for Maven Music, a streaming service that’s been struggling with customer churn. Using the skills you learn throughout the course, you'll use Python to gather, clean, and explore the data to provide insights about their customers. Last but not least, you'll practice preparing data for machine learning models by joining multiple tables, adjusting row granularity, and engineering useful fields and features. If you're an aspiring data scientist looking for an introduction to the world of machine learning with Python, this is the course for you.