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Business Data Analytics

Take Business Data Analytics online at your own pace

This course equips students with essential business data analytics skills, from foundational concepts to advanced statistical and machine learning techniques utilizing both Excel and Python.

Business Data Analytics course stats

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0 students successfully completed
2 partners accept credit transfer.* See Partners
3.0 semester credits
Recommended for credit to the ACE® and DEAC college and university networks.
https://cdn.sophia.org/spcc_courses/295/syllabus_pdf/8c71289299f03223bbf54f3166e984a2.pdf Email your advisor to see if this course will transfer to your university

Assignments & grading

This is a pass/fail course. Students must complete 15 Challenges (formative assessments), 6 Milestones (summative assessments), and 2 Touchstones (project-based or written assessments) with an overall score of 70% or better.

Learning outcomes

<p>At the end of the course, you'll be able to:</p> <ul><li>Apply the data analytics lifecycle to collect, prepare, analyze, and interpret business data using Excel and advanced methods.</li><li>Use descriptive statistics and visualizations to analyze business data, identify patterns, and support decision-making utilizing Excel.</li><li>Apply probability models to assess uncertainty, quantify risk, and inform business strategy in Excel.</li><li>Perform statistical inference using confidence intervals, hypothesis testing, and ANOVA to derive insights in Excel.</li><li>Build predictive models in Python for forecasting, trend analysis, and risk assessment using regression and simulations.</li><li>Develop optimization models using linear, integer, and nonlinear programming to solve business problems in Python.</li></ul>

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Business Data Analytics