# Professional Certificate – 11-Course Series Prepare yourself for a career in the fast-growing field of data analytics. In this program, you will learn essential skills like Python, Excel, and SQL to be job-ready in just 4 months. Data analytics is the process of collecting, storing, modeling, and analyzing data that can help inform leadership decisions. The demand for skilled data analytics service providers has never been higher. This program will teach you the fundamentals that employers are looking for in entry-level data analytics roles. It will not only help you jumpstart your career in data analytics, but also provide a strong foundation for future career development in other avenues such as data science, artificial intelligence, deep learning, or data engineering. You will learn the latest skills and tools used by professional analysts, including Excel Sheets, Python, Pandas, NumPy, Jupiter Notebook, Cognos Analytics, and more. You will work with a variety of data sources and project scenarios to gain hands-on experience in data analysis and applying analytical skills. You will also have the opportunity to learn how to use artificial intelligence tools and techniques in data analysis. In addition to a project portfolio and a professional certificate from IBM to showcase your expertise, you will earn a digital medal from IBM and have access to professional resources to help you in your job search. This program is recommended by ACE® and FIBAA – when you graduate, you can earn up to 12 college credits and 6 ECTS credits. ## Tangible Learning Project During the program, you will pay for practical projects and labs and gain full mastery of the technical skills required to collect, process, analyze and visualize data, as well as the soft skills to work with employers and tell a story using data to engage your audience. ## Projects – Import, clean and analyze a vehicle inventory with Excel sheets. – Use KPI data from car sales to create an interactive dashboard with visuals. – Extract and graph financial data with the Python data analysis library Pends. – Use SQL to query census, crime, and school demographic statistics. – Process data, graph, and create regression models to predict home prices with Python data analysis libraries. – Create a dynamic dashboard in Python to prevent, report, and improve the reliability of domestic flights in the US. At the end of the program, you will complete a hands-on final project specifically designed to showcase the data analysis skills you have learned.
