Data Visualization with Python

Service Description

Data tells a story, and visualization brings it to life. In this course, I’ll teach you how to use Python’s data visualization libraries to create impactful visuals that convey insights effectively, perfect for data enthusiasts and professionals alike.
Primary Consultation:
Assess Data Knowledge: Review familiarity with datasets and analysis.
Define Visualization Goals: Determine the data story you want to tell.
Teach Matplotlib and Seaborn Basics: Start creating charts and graphs.
Introduce Design Principles: Make visuals clear, concise, and insightful.
Guide Resource Recommendations: Books and tools to deepen visualization skills.
Services:
Building Interactive Dashboards
I’ll help you create dashboards that allow users to explore data dynamically. Using libraries like Plotly, you’ll learn to build charts, filters, and interactive elements to enrich your data presentations.
Mastering Advanced Visual Techniques
Dive deeper into complex visualizations, like heatmaps, regression plots, and time series. I’ll show you how to use these techniques to reveal trends and patterns, making your data storytelling even more compelling.