Data Analyst

Data analytics projects using Power BI, SQL, Pandas, and Python involve leveraging these tools to clean, analyze, and visualize data, enabling data-driven decision-making. These projects typically focus on real-world business problems, transforming raw data into actionable insights.

• Skill Application: Projects using Power BI, SQL, Pandas, and Python integrate multiple tools, allowing analysts to manage data pipelines, perform complex analyses, and create compelling visualizations.
• Real-World Relevance: These projects mimic real-world scenarios, such as sales forecasting or customer segmentation, ensuring that the skills learned are directly applicable to industry challenges.
• Cross-Tool Integration: Combining these tools in a project showcases the ability to move data seamlessly from extraction and transformation (SQL and Pandas) to analysis (Python) and visualization (Power BI), reflecting the workflow in professional data environments.

Data Analyst cases

The Google Data Analytics Professional Certificate program is a comprehensive online course designed to equip learners with the skills needed to analyze data, draw insights, and make data-driven decisions. It covers key tools like SQL, R, and Tableau and teaches how to apply them in real-world scenarios.

• The program is designed by Google, which is known for its data-driven culture and provides practical knowledge applicable to industry standards.
• The course includes hands-on projects where learners work on real-life datasets, reinforcing the application of theoretical concepts in real-world situations.
• The curriculum focuses on the skills most in-demand by employers, including data cleaning, visualization, and analysis, preparing students for roles like Data Analyst or Business Analyst.

Master of Science

Grade: First class distinction.

Higher Secondary School

Grade: First class distinction.