This course features interactive videos to help you understand both the analytical concepts and the software. This course contains a capstone project, in which learners will apply the concepts taught using a separate data source; this realistic project gives learners the practice and confidence necessary to connect, explore, and analyze data sources into the future.
This course is also part of a certificate:
This course features interactive videos to help you understand both the analytical concepts and the software. This course contains a capstone project, in which learners will apply the concepts taught using a separate data source; this realistic project gives learners the practice and confidence necessary to connect, explore, and analyze data sources into the future.
This course is also part of a certificate:
Data Analytics and Visualization Certificate
The types of algorithms covered are used for uncovering more complex business insights than possible using descriptive statistics (of the type covered in Courses 1 and 2). By learning how to build a predictive model in Python, you will gain the capability to better describe the relationships between multiple variables in a dataset. While typically this content depends on an advanced understanding of statistics, this course teaches how to build and interpret models without needing a statistics prerequisite by focusing on the most essential aspects of predictive modeling.
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