- Type Learning
- Level Intermediate
- Time Months
- Cost Paid
Data Analytics
Issued by
George Mason University
Earners of the professional certificate can successfully extract the most potential out of data sets and apply those insights for key business decisions, no matter the industry or seniority level. They have applied and leveraged programming fundamentals, data wrangling techniques, visualizations, and machine learning models to create solutions to real-world problems that require the ability to think analytically. Earners will be prepared for the job with effective and impactful data skills.
- Type Learning
- Level Intermediate
- Time Months
- Cost Paid
Earning Criteria
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Data Analytics Badge requires learners to complete three courses, consisting of 104 hours, or 10.4 CEUs. Programming for Data Science: covers programming fundamentals (setting up a Data Science environment, Python, SQL, Pandas).
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Course 2: Data Wrangling, Visualization, and Reporting: explores and applies current concepts and tools for data analytics.
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Course 3: Machine Learning: evaluates and implements Machine Learning methods and models to defined problems. Courses must be taken sequentially.
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100% attendance and successful completion of all assessments is required.