Data Analysis with Python & Pandas

This badge is earned by successfully completing the Data Analysis with Python & Pandas course at Maven Analytics. COURSE HOURS: 22.0 CPE CREDITS: 22.0 COURSE DESCRIPTION: This is a hands-on, project-based course designed to help you learn two of the most popular Python packages for data analysis: NumPy and Pandas. We'll start with a NumPy primer to introduce arrays and array properties, practice common operations like indexing, slicing, filtering and sorting, and explore important concepts like vectorization and broadcasting. From there we'll dive into Pandas, and focus on the essential tools and methods to explore, analyze, aggregate and transform series and dataframes. You'll practice plotting dataframes with charts and graphs, manipulating time-series data, importing and exporting various file types, and combining dataframes using common join methods. Throughout the course you'll play the role of Data Analyst for Maven Mega Mart, a large, multinational corporation that operates a chain of retail and grocery stores. Using the Python skills you learn throughout the course, you'll work with members of the Maven Mega Mart team to analyze products, pricing, transactions, and more. If you're a data scientist, BI analyst or data engineer looking to add Pandas to your Python skill set, this is the course for you. CPE ACCREDITATION DETAILS: - CPE Credits: 22.0 - 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.