Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , and more!
InstructorJose Portilla
Coupon
FreeThe instructor provides clear explanations of complex topics, including thorough coverage of Pandas and fundamental Python structures.
Editorial course preview
These 3 complementary views highlight concrete, legible examples from the course presentation.
This screenshot shows a Jupyter Notebook session analyzing the SF Salaries dataset, featuring questions about lowest-paid employees and calculated mean BasePay values per year.
This notebook cell displays a choropleth map of Europe illustrating 2014 power consumption in kilowatt-hours, featuring a color-coded legend and an interactive tooltip for Spain.
This notebook section introduces optional SQL integration using the pandas.io.sql module and discusses database abstraction via SQLAlchemy for data retrieval.
Learning is supported by detailed exercises and Jupyter notebooks that facilitate hands-on practice across various algorithms.
Several libraries, such as Cufflinks and certain Pandas functions, are deprecated or have changed syntax, making demonstrations difficult to follow.
Learners have reported issues with missing files in specific project modules and code that fails to run in modern Python environments without external troubleshooting.
Selected from the course's public promotional preview. These images document visible presentation material only; they do not represent the complete paid curriculum.
The curriculum aligns well with the target of learners having some programming experience.