See the full picture: Learn how to combine the three most important tools in data science: Python, SQL, and Tableau
Instructor365 Careers
Instruction covers practical model implementation, including train-test splits, accuracy assessment, and backward elimination.
The curriculum includes steps for saving machine learning models using pickling to prepare them for future deployment.
Editorial course preview
These 3 complementary views highlight concrete, legible examples from the course presentation.
An instructor stands beside a visual diagram connecting the SQL, Python, and Tableau logos with lines, illustrating the integration of these three data technologies.
An instructor presents a visual diagram illustrating the integration of SQL databases, Python programming, and Tableau analytics tools.
An educational graphic displays interconnected icons for SQL, Python, and Tableau alongside text identifying them as the most popular technologies in the data science field.
One signal indicates potential issues with provided code or files within the SQL integration section; because this review predates the displayed update, it remains an uncertain signal as the update label does not prove a correction.
One signal indicates potential issues with provided code or files within the SQL integration section; because this review predates the displayed update, it remains an uncertain signal as the update does not prove a correction.
One signal indicates potential issues with provided code or files within the SQL integration section; because this review predates the displayed update, it remains an uncertain signal as the update label does not prove a correction.
The curriculum aligns with the stated goals of BI and Data Science, though specific prerequisites are required.