Agile Data Science

The STAT 498 Agile Data Science course teaches students how to use visualization and advanced statistical techniques to analyze datasets. An understanding of the principles of agile development related to data science projects is provided. This course teaches students how to use version control systems like Git for project management and collaboration. Students in the course will learn to communicate data insights through compelling visualizations. Students will be taught to employ incremental and iterative methods for deployment, data exploration, and model building.

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Check the list of essential courses related to this curriculum which is covered by our skilled tutors:

• STAT 111 Lectures in Applied Statistics
• STAT 290 Advanced Placement (AP) Statistics
• STAT 320 Evaluating Social Science Evidence
• STAT 342 Introduction to Probability and Mathematical Statistics III
• STAT 396 Finite Markov Chains and Monte-Carlo Methods
• STAT 421 Applied Statistics and Experimental Design
• STAT 435 Introduction to Statistical Machine Learning
• STAT 503 Practical Methods for Data Analysis
• STAT 516 Stochastic Modeling of Scientific Data