Data Science and Business Analytics

What You Will Learn

• 1 Learn to translate business problems into analytical questions that produce actionable recommendations.
• 2 Understand how to extract and manipulate data using SQL and Python for reliable analysis.
• 3 Apply inferential statistics to validate findings and quantify uncertainty in business decisions.
• 4 Build predictive models that forecast customer behavior, sales, and operational risks.
• 5 Create compelling data visualizations that reveal trends and support executive decision-making.
• 6 Explore big data architectures and cloud platforms that scale to organizational needs.
• 7 Develop business intelligence dashboards that monitor KPIs and drive performance management.
• 8 Design and evaluate A/B tests to improve conversion rates and product experiences.
• 9 Analyze time series data to forecast demand, revenue, and resource needs.
• 10 Segment customers using clustering techniques to personalize marketing and increase retention.
• 11 Craft data stories that communicate insights to non-technical stakeholders and secure buy-in.
• 12 Implement an analytics strategy that aligns data initiatives with organizational objectives.