Mathematics for Data Management & Analytics
The field of data management and analytics is based on a foundation of mathematics principles, primarily related to statistics and probability. Data analysts must be able to apply probability, distributions, regression, topological analysis, and descriptive and inferential statistics in a data context.
Career Paths
This micro-credential builds the foundational skills required to be competent in the Acquiring and Wrangling Data, Performing Data Analysis, and Visualizing Data and Insights micro-credentials.
Requirements
Basic statistics, math, and basic proficiency in Python.
Commitment
Up to 8 weeks based on your experience and expertise. Pivot-Ed micro-credentials are measured by performance and not time.
Delivery Mode
Flexible, online and asynchronous with two options to fit your learning requirements - choose between the bundle or assessment-only path.
| Micro-Credential Pathways | Description | Price | |
| Mathematics for Data Management and Analytics Bundle |
Access to all learning content, instructor support, and three attempts at the competency assessment to earn the micro-credential.
|
$549.00 | |
| Mathematics for Data Management and Analytics Assessment |
Students have one attempt at the competency assessment to earn the micro-credential. There is no limit to the number of times a student can register to complete the competency assessment.
|
$100.00 |
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