IBM Data Analyst

Prepare for a career in the high-growth field of data analytics . In this program, you’ll learn in-demand skills like Python, Excel, and SQL to get job-ready in as little as 4 months. Data analysis is the process of collecting, storing, modeling, and analyzing data that can inform executive decision-making, and the demand for skilled data analysts has never been greater. This program will teach you the foundational data skills employers are seeking for entry-level data analytics roles. It will not only help you start your career in data analytics, but also provides a strong foundation for future career development in other paths such as data science, artificial intelligence, deep learning, or data engineering. You’ll learn the latest skills and tools used by professional data analysts including Excel spreadsheets, Python, Pandas, Numpy, Jupyter Notebooks, Cognos Analytics, and more. You’ll work with a variety of data sources and project scenarios to gain practical experience with data manipulation and applying analytical skills. You'll also have the option to learn how generative AI tools and techniques are used in data analysis. In addition to a portfolio of projects and a Professional Certificate from IBM to showcase your expertise, you’ll earn an IBM Digital badge and gain access to career resources to help you in your job search. This program is ACE® and FIBAA recommended—when you complete, you can earn up to 12 college credits and 6 ECTS credits

• Master the most up-to-date practical skills and tools that data analysts use in their daily roles
• Learn how to visualize data and present findings using various charts in Excel spreadsheets and BI tools like IBM Cognos Analytics
• Develop working knowledge of Python language for analyzing data using Python libraries like Pandas and Numpy, and invoke APIs and Web Services
• Gain technical experience through hands on labs and projects and build a portfolio to showcase your work

• No deep prior experience is required, but basic computer and internet skills are helpful
• Ability to read course instructions in English and complete short practice activities