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Requirements
- Gain proficiency in Power BI, Tableau, and Excel for business reporting.
- Communicate data insights to stakeholders through clear visualizations.
- Master data collection, cleaning, and transformation techniques.
- Learn to query databases with SQL and integrate with data visualization tools.
- Develop an understanding of statistical analysis and predictive modeling.
Features
- Exposure to BI tools and machine learning for analytics.
- A final analytics project that covers end-to-end analysis.
- Hands-on labs and case studies based on real business scenarios.
- Learn advanced data visualization techniques for actionable insights.
- Interactive quizzes and projects for skill reinforcement.
Target audiences
- Corporate professionals looking to incorporate data-driven decision-making.
- Students from fields such as data science, business analytics, and engineering.
- Aspiring Data Analysts wanting to learn all aspects of the data lifecycle.
- Business Analysts who want to expand their technical expertise.