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Berkeley Global
This course provides students the opportunity to conduct a data science project that centers on a real-world problem of the student’s choosing. The course focuses on data science from a project-based perspective. Throughout this course students demonstrate their knowledge of data science methods and techniques to plan, build models, analyze, interpret and present their findings. The course emphasizes collaboration and problem-solving to promote “hands-on”, applied and experiential knowledge.
Prerequisites: Students should be familiar with the following concepts prior to enrolling in this course:
- Data science lifecycle
- Machine learning algorithms
- Querying databases
- Visualizing data (Data Visualization in R, Python, or Tableau)
- Working with Python data science packages
Learner Outcomes
- Utilize statistics and probability essentials to manipulate and preprocess data for feature transformation, dimensionality-reduction, and model evaluation.
- Utilize essentials of Linear Algebra and Multivariate Calculus in machine learning to preprocess, transform, and evaluate a variety of features, predictors for data models.
- Utilize machine learning algorithms and objective functions like for optimization experiments and predictive modeling. (i.e., cost/objective; likelihood; error; gradient descent).
- Demonstrate mastery of essential programming skills for statistical modeling and data analysis.
- Demonstrate familiarity with essential data analytics methodologies and procedures like data wrangling and preprocessing.
- Utilize a multitude of supporting programming languages for data analytics methodologies and procedures. (i.e., excel, Tableau, Hadoop, SQL, GraphQL and Spark).
- Create data visualizations that utilize essential components like: data, geometric, mapping, scale, labels, and ethical-centricity.
- Perform experiments for continuous variable prediction and discrete variable prediction and make predictions using Machine Learning Algorithms.
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Sections
Spring 2025 enrollment opens on October 21!