*Note: This course description is only applicable for the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information.

Articulate the primary interpretations of probability theory and the role these interpretations play in Bayesian inference Use Bayesian inference to solve real-world statistics and data science ...

We live in a world driven by data. Data is collected and stored on every human interaction, whether commercial, civic or social. Enormous server “farms” across the world save, preserve and serve data ...

Statistics is the science of learning from data. The theoretical foundation of statistics lies in probability theory, which is applied to decision-making under uncertainty. Data science consists of ...

You don't have to spend a fortune and study for years to start working with big data, analytics, and artificial intelligence. Demand for "armchair data scientists" – those without formal ...

How do you manage big sets of data? How can you help an organization use its data to make better decisions? That’s where data scientists come in. As a data science major at Luther, you’ll use math, ...

For more than a century there have been calls to increase "statistical literacy." And such cries have grown even louder in recent years, with the rise of big data and fast computing. The reality, ...

Data science is more than a hot tech buzzword or a fashionable career; in the century to come, it will be an essential toolset in almost any field. Tomorrow’s data scientists will need to combine a ...

The 7 Best Data Science Courses That are Worth Taking Your email has been sent Today’s best data science courses offer hands-on experience with Python, SQL, libraries, basic machine learning models ...