Graduate Seminar on Designing the Elements of Data Science
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Course overview -
The STAT 250 Graduate Seminar on Designing the Elements of Data Science course teaches students about computation, data, and statistical thinking to gain data science insights, makes predictions, and draw conclusions. In this course, students will be taught about data science concepts by evaluating and developing data science case studies. The course will provide students with an understanding of factors ranging from exploratory data analysis and data collection to communication of results and modelling.
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Know about the following relevant courses which are covered by our skilled tutors:
- STAT 102 - Introduction to Statistics for Life Sciences
- STAT 117 - Data Analysis in Modern Biostatistics
- STAT 131 - Introduction to Time Series & Prediction
- STAT 10 - Elements of Data Science
- STAT 104 - Introduction to Quantitative Methods for Economics
- STAT 115 - Introduction to Computational Biology and Bioinformatics
- STAT 149 - Introduction to Generalized Linear Models
- STAT 185 - Introduction to Unsupervised Learning
- STAT 213 - Statistical Inference 2
- STAT 244 - Linear and Generalized Linear Models
- STAT 286 - Causal Inference with Applications