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IBM Data Analyst Professional Certificate | Coursera. Prepare for a career as a data analyst. Build job-ready skills – and must-have AI skills – for an in-demand career. Earn a credential from IBM. No prior experience required. Instructors: IBM Skills Network Team. +12 more. Enroll for Free. Starts Jul 26. Financial aid available.
Badge: Data Analyst Professional Certificate - IBM Training - Global. This credential earner has demonstrated proficiency in applying different analytical techniques by analyzing real-world datasets, creating visualizations & interactive dashboards, and presenting reports to share findings of data analysis, and is now equipped with skills for ...
Apr 15, 2021 · Gain the job-ready skills for an entry-level data analyst role through this eight-course Professional Certificate from IBM and position yourself competitively in the thriving job market for data analysts, which will see a 20% growth until 2028 (U.S. Bureau of Labor Statistics).
IBM Training offers a variety of courses and certifications in data analytics, covering topics such as Excel, SQL, Python, Cognos and more. Whether you are a beginner or an experienced professional, you can learn from IBM experts and gain valuable skills for your career. Enroll now and get access to free courses and badges.
Prepare for the in-demand field of data analytics. In this program, you’ll learn high valued skills like Excel, Cognos Analytics, and R programming language to get job-ready in less than 3 months. Data analytics is a strategy-based science where data is analyzed to find trends, answer questions, shape business processes, and aid decision-making.
This Professional Certificate has a strong emphasis on applied learning and includes a series of hands-on labs in the IBM Cloud that give you practical skills with applicability to real jobs. You'll also have the option to learn how generative AI tools and techniques are used in data science.
Badge: Data Science Professional Certificate - IBM Training - Global. The badge earner is ready for a career in data science with demonstrated ability to solve for real-world problems. They can apply Data Science methodology - work with Jupyter notebooks - create Python apps - access relational databases using SQL & Python - use Python ...
