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Data Exploration introduces learners to the foundations of data science and statistical reasoning applied to business challenges. Using Python in Jupyter Notebooks, students engage with case studies from retail, finance, healthcare, and more to understand how data can shape strategy.
By completing this course, learners will:
- Build fluency in Python basics for business analytics.
- Explore datasets using averages, weighted averages, and distributions.
- Apply probability concepts to quantify uncertainty in decision-making.
- Visualize data with tables, charts, and plots to communicate findings.
- Use simulations to model outcomes and assess business strategies.
Each module combines interactive coding, real-world data analysis, and quizzes to reinforce key concepts. By the end, students will have the analytical toolkit to summarize, visualize, and simulate data for smarter decisions.
