Enhanced my role as a Data Analyst by learning how to integrate AI tools into analytical workflows.
Understood modern use cases of AI in data interpretation, forecasting, and automation.
Gained hands-on skills with AI-driven
platforms and techniques to improve decision-making.
Developed strategies to apply AI for better storytelling and impactful data insights.
Completed a comprehensive Excel course tailored for aspiring Data Analysts, designed by industry experts.
Gained hands-on experience with real-world datasets, focusing on data cleaning, transformation, and analysis.
Mastered
Excel features including Power Query, Pivot Tables, DAX, and business metrics like P&L analysis.
Developed practical skills in sales analytics, reporting, data modeling, and basic VBA for automation.
Completed a project-based Python course focused on data analysis and app development.
Gained hands-on experience with Python, NumPy, Pandas, APIs, and data visualization tools.
Built real-world projects like hospitality data
analysis and an expense tracker using FastAPI and Streamlit.
Developed skills in data cleaning, transformation, testing, and full-stack analytics workflows.
Completed a comprehensive SQL course from beginner to advanced, designed for data professionals.
Gained hands-on experience with real-world scenarios using MySQL for querying, joins, CTEs, and subqueries.
Built strong foundations
in database design, normalization, indexing, and advanced functions like window queries.
Covered ETL concepts, data warehousing, and SQL automation through procedures, views, and triggers.
Completed an end-to-end Power BI course with real-world projects and Microsoft Fabric integration.
Gained hands-on experience in data modeling, DAX, Power Query, and dashboard design best practices.
Built interactive reports
for finance, sales, marketing, and supply chain with performance optimization.
Learned Power BI service features, automated refresh, and job readiness skills including resume and interview prep.
Completed a hands-on Microsoft Fabric mini-course focused on enhancing Power BI workflows.
Gained practical insights into data storage, transformation, and orchestration within Fabric.
Worked on a real-time pilot project to
understand Lakehouse, Warehouse, and Dataflow Gen2.
Learned to migrate Power BI reports and set up automated data pipelines using Microsoft Fabric.
Completed a Tableau mini-course designed for learners with prior Power BI experience.
Gained foundational knowledge in Tableau through a transfer-learning approach.
Expanded data visualization skills by applying familiar concepts
in a new BI tool.
Strengthened dashboard-building capabilities to enhance analytical storytelling and job readiness.
Gained essential domain knowledge to interpret data in real-world business contexts.
Learned how to identify and work with Key Performance Indicators (KPIs) across industries.
Explored case studies and business functions to align
insights with stakeholder goals.
Built confidence in solving domain-specific challenges with data-driven strategies.
Developed effective data presentation skills tailored for business audiences.
Learned to structure and visualize findings using storytelling frameworks.
Improved clarity and impact of data communication through practical tips and
tools.
Enhanced the ability to present dashboards and reports confidently and persuasively.
Gained crucial soft skills for managing stakeholder expectations and communication.
Learned how to translate technical findings into business-relevant insights.
Practiced stakeholder engagement techniques for meetings, feedback,
and reporting.
Developed trust-building strategies for collaborative decision-making in projects.