Python Foundations for Data Analysis

This badge is earned by successfully completing the Python Foundations for Data Analysis course at Maven Analytics. COURSE HOURS: 19.0 CPE CREDITS: 19.0 COURSE DESCRIPTION: This is a hands-on, project-based course designed to help you master the core building blocks of Python for data analysis. We'll start by introducing the Python language and ecosystem, installing Jupyter Notebooks where we'll write our first lines of code, and reviewing some key Python data types and properties. From there we'll dive into foundational tools like variables, numeric and string operators, conditional logic, loops, functions and more. You'll learn how to create and manipulate raw data, define conditional logic, loop through iterables or indices, and extract values stored in lists, tuples, dictionaries and sets. Throughout the course you'll play the role of a Data Analytics Intern for Maven Ski Shop, the world's #1 store for skis, snowboards and winter gear. Using the skills you learn throughout the course, you'll help the Maven team track inventory, pricing, and sales performance using Python. Last but not least, we'll practice importing and manipulating data from an Excel workbook using the openpyxl package, and bring it all together with a final course project. If you're a data analyst or business intelligence professional looking to add Python to your skill set, this is the course for you. CPE ACCREDITATION DETAILS: - CPE Credits: 19.0 - Field of Study: Information Technology - Delivery Method: QAS Self Study Maven Analytics LLC is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have the final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org.