You can watch the first lecture for free! (See the video above).
Create Powerful Line and Box Plots: Visualize financial trends and distributions with precision, uncovering key insights in your data that drive smarter investment decisions.
Master Swarm and Violin Plots: Highlight unique patterns and outliers in your financial datasets, adding depth to your analysis with these advanced visualization techniques.
Visualize Relationships with Pair and Scatter Plots: Learn to effectively communicate correlations and relationships between variables, complete with regression lines for deeper, actionable insights.
Leverage Custom Range Plots: Develop your own custom 'range plot' for unique financial data insights, setting your visualizations apart with professional, tailored data presentations.
Transform Data into Actionable Insights: Understand how to use visualization techniques to simplify complex financial data, making it easier to present to clients, colleagues, or stakeholders.
Master Python-Based Visualization Tools: Apply powerful Python libraries like Seaborn and Plotly to create publication-ready visuals that convey important financial information with clarity and impact.
Please read this before starting this course as it contains important information related to setting up your Python experience.