| Abstract: | In this course, you'll master data visualization with Tableau and Python. Start by learning Tableau's fundamentals, connecting to data sources like Excel and text files. Create various visualizations, such as bar charts, line charts, scatter plots, and maps, and build interactive dashboards to tell data-driven stories. Once proficient in Tableau, transition to Python and explore Matplotlib, creating essential charts like line, bar, scatter, and pie charts, and dive into 3D visualizations for more advanced plots. Then, you'll use Seaborn to visualize statistical data with swarm plots, violin plots, and heatmaps, enhancing your analysis capabilities. The course features project-based learning, allowing you to apply your skills to real-world datasets, including Olympic athletes, World Bank indicators, and sales data. You'll also learn best practices in data visualization, explore advanced chart types, and gain hands-on experience in designing clear, informative visualizations. Whether you're a beginner or experienced, this course will help you leverage both Tableau and Python to create powerful, impactful data visualizations. |
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