Data Science
Rize's Data Science program builds a strong foundation in data analytics before advancing to predictive modeling, machine learning, and AI applications. With a focus on technical skills and practical tools like Python and Large Language Models, the curriculum prepares students for careers in data-driven fields. The program’s streamlined design also allows room for liberal arts study, encouraging well-rounded graduates who can apply data insights across disciplines.
Data Science
Courses
Foundations of Data Analytics I
In an increasingly data-driven world, everyone should be able to understand the numbers that govern our lives. Whether or not you want to work as a data analyst, being “data literate” will help you in your chosen field. In this course, you’ll learn the core concepts of inference and data analysis by working with real data. By the end of the term, you’ll be able to analyze large datasets and present your results.
Foundations of Data Analytics II
This course is intended as a continuation of Foundations of Data Analytics I. In this course, you’ll conduct more advanced analysis and data manipulation using spreadsheets. You will also expand your data analytics toolkit by learning the basics of the programming language Python, enabling you to solve a wider range of data problems. Additionally, this course introduces predictive models.
Data Science II
This course is intended as a continuation of Data Science I. This course takes a deep dive into machine learning models, natural language processing, and time series in Python.
AI and Machine Learning
This course is a technical approach to cutting-edge AI methods. Students will productionize machine learning models to solve business problems, evaluate modern AI use cases (such as computer vision) and adapt Large Language Models (LLMs) for specific applications.
Data Science I
This course is an introduction to data science in Python. You’ll use advanced visualization and predictive modeling tools to turn raw data into actionable insights. You will also learn how to use SQL to navigate databases.
Practicum
This course is a capstone project in which students are asked to work through a full data science workflow using real-world data. This course exists to prepare students for the kind of work they will do on Data Science teams, and as such also features an emphasis on interviewing for jobs in the space and communicating results to stakeholders.
Career Navigation and Exploration in Data Science
This course will help you find a job in Data Science upon graduation. Not just any job; one that excites you and meets your financial needs. In this course, you will explore career paths in Data Science, potential salary outcomes, and the skills you need to understand whether these salary outcomes will support you. This exploration will lead you to identify target jobs and opportunities. You will then plan the steps you need to take to achieve your goals and begin executing that plan.
Student Outcomes
Learning Outcomes
- Apply action-oriented analysis for a given data problem in order to make their analytics as valuable as possible.
- Use probabilistic thinking to inform decision making.
- Build machine learning models that solve a range of different business problems, using both structured and unstructured data.
- Create actionable predictions by balancing accuracy, usability, and interpretability in model selection and design.
- Build responsive AI systems that can respond to a range of inputs, with specialized domain expertise, while assessing the potential risks in implementation and deployment.
- Stay up-to-date on emerging technologies, techniques, and AI trends by practically implementing new tools and solutions.
- Construct robust predictive models using advanced machine learning algorithms and critically evaluate their performance to ensure reliability and validity in addressing real-world data challenges.
- Synthesize and communicate complex data insights clearly and persuasively to a diverse range of stakeholders, demonstrating the ability to transform technical data analysis into strategic business recommendations.
- Identify career opportunities through frameworks that evaluate fulfillment and financial health.
Certifications
Disclosure
This program includes courses delivered online through an institution of the Lower Cost Models Consortium (LCMC), however all academic credit applies toward the degree requirements at your degree-granting institution.
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