Professional Certifications

This course equips data professionals with practical skills in using Azure Data Studio for efficient database management. Key topics include connecting to multiple database servers, executing and formatting SQL queries, using notebooks for documentation, and customizing the integrated workspace with extensions and terminal commands. Ideal for roles in Data Management and SQL-based analytics.

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This course offers a hands-on introduction to Python for data science. It covers programming basics, data structures (lists, dictionaries, sets), control flow, functions, and object-oriented programming. Learners also explore file handling, data analysis using Pandas, and working with NumPy arrays and simple APIs. By the end, students can write Python scripts and perform basic data analysis in a Jupyter environment. Ideal for beginners with basic math skills.

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Completed foundational training on designing scalable, secure, and cost-effective AWS cloud applications using the AWS Well-Architected Framework.

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Completed a 3-hour course on using Microsoft Excel for data collection, analysis, and visualization.

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Gained a strong foundation in data analytics concepts, covering data-driven decision making, data visualization, and key tools.

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Completed an in-depth course covering the foundations of modern frontend development, including layout, styling, and interaction.

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