Welcome to the “Visualization in Python” course. This free course, designed for beginners, takes approximately 4 hours to complete and provides a foundational understanding of data visualization using various Python libraries. No prior knowledge of the subject is required.
This course will help you to:
- Understand the importance and role of data visualization in data science.
- Learn how to create and customize a variety of charts and plots using Matplotlib.
- Explore the capabilities of GGPLOT for creating layered visualizations.
- Utilize Seaborn for statistical data visualization.
- Harness the power of Bokeh for interactive visualizations.
By the end of this course, you will be well-prepared to create insightful and interactive visualizations, setting a strong foundation for more advanced data analysis and visualization tasks.
💡 Access information:
While the ECS Academy aims to make all its courses accessible to guests (no registration required), the courses belonging to the Data Analysis and Visualization learning path require users to be registered.
This is due to their specific technological setup — including the use of Jupyter Notebooks linked to each individual account.