Build Python visuals, dashboards and web apps using Plotly & Dash, w/ a top Python data science & analytics instructor!
InstructorMaven Analytics • 1,500,000 Learners
The curriculum utilizes a repetitive pattern of instructional videos followed by specific assignments and dedicated solution videos, anchored by mid-course and final projects.
Instruction covers complex callback functions, including conditional and chained logic, alongside dashboard styling using HTML, Markdown, and Bootstrap components.
Editorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
A course banner featuring the Python logo, the title Dashboards with Plotly and Dash, and a portrait of the instructor Chris Bruehl.
A Jupyter notebook interface displaying a dark-themed dashboard with a line chart for annual attendance and a bar chart comparing test scores.
A Jupyter notebook window showing Python code that defines a Dash dashboard layout, state dropdown, and callback functions for data visualization.
Course slide titled Interactive Elements listing Dash Core Components such as dcc.Dropdown and dcc.Slider with descriptions and logical operators.
One signal suggests the jupyter-dash library may be outdated, and a separate report indicates difficulties displaying code output due to Dash updates.