Data Science

In this course, students will develop skills in data exploration, statistical modeling, and machine learning using tools such as Python, R, and Jupyter Notebooks. They will learn to work with large datasets, perform predictive analysis, and apply algorithms for classification, clustering, and regression. Emphasis is placed on critical thinking, data storytelling, and deploying models to solve real-world business challenges.

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Starts May 25

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What you’ll learn

Master the most up-to-date practical skills and knowledge that data scientists use in their daily roles.

Learn the tools, languages, and libraries used by professional data scientists, including Python and SQL.

Import and clean datasets, analyze and visualize data, and build machine learning models and pipelines.

Apply your new skills to real-world projects and build a portfolio of data projects that showcase your proficiency to employers.

Skills you’ll gain

Data Structures Python Programming Data Import/Export Scripting Pandas (Python Package) Jupyter Data Manipulation NumPy Object Oriented Programming (OOP) Web Scraping Data Processing Data Collection