Bogumil Kaminski

Julia for Data Analysis

Julia for Data Analysis teaches you how to handle core data analysis tasks with the Julia programming language. You’ll start by reviewing language fundamentals as you practice techniques for data transformation, visualizations, and more. Then, you’ll master essential data analysis skills through engaging examples like examining currency exchange, interpreting time series data, and even exploring chess puzzles. Along the way, you’ll learn to easily transfer existing data pipelines to Julia.

Hands-on Data Science with Julia

In this series of liveProjects you’ll explore the exciting scientific computing language Julia, and tackle common data science tasks with its robust machine learning ecosystem. These insightful and engaging projects work through each stage of a data science pipeline, from data preprocessing to building and training machine learning models. You’ll step into the role of a data scientist for a real estate company and develop hands-on experience with Julia—whether you’re working step by step or dipping into the tasks most relevant to your career.