Learn Python's Matplotlib + Seaborn libraries for data analytics & business intelligence, w/ a top Python instructor!
InstructorMaven Analytics • 1,500,000 Learners
The curriculum utilizes specific assignments and end-to-end projects to reinforce chart types and real-world data scenarios.
Editorial course preview
These 3 complementary views highlight concrete, legible examples from the course presentation.
A course slide titled FORMATTING OPTIONS displays a labeled line chart and a table mapping Matplotlib chart elements to Object Oriented and PyPlot API functions.
Presentation slide featuring four scatter plots comparing sales and profits for coffee, tea, soda, and juice, with a sidebar menu and explanatory text.
A smiling man in a black shirt appears next to a dark banner featuring the Python logo and text identifying the course as Data Visualization with Matplotlib & Seaborn.
Instruction covers complex figure arrangements using Subplots, GridSpec, and rcParameters for global style management.
The projects require significant data transformation skills, which can feel overwhelming if one expects a pure visualization focus.
One signal indicates that some instructions can be difficult to decipher, potentially increasing the time spent on setup rather than active plotting. Note that this review predates the displayed update date and does not prove a lack of correction.
The curriculum aligns with the target audience of analysts, though a significant gap exists for those without prior Pandas experience.