Business Intelligence: Data Analysis and Reporting Techniques

In today’s data-driven world, raw numbers mean little without proper analysis. Whether you're working in business intelligence, finance, healthcare, or research, mastering data analysis methods and techniques gives you the power to uncover patterns, optimize processes, and drive strategic decision-making.

This course provides a hands-on, practical approach to data analysis, visualization, and statistical modeling using Python, Power BI, and Tableau. By the end, you’ll be confidently analyzing large datasets, building predictive models, and extracting actionable insights to support business growth and innovation.

You’ll Learn How To:

• Collect, clean, and structure data from multiple sources.
• Apply statistical analysis to extract meaningful trends.
• Visualize data effectively using Python, Power BI, and Tableau.
• Implement advanced regression and forecasting techniques for predictive modeling.
• Leverage big data tools like Hadoop and Spark for large-scale analytics.
• Develop confidence intervals and probability models for risk assessment.