From Data Science to Production with Kotlin: The Basics

Kotlin, a JVM platform language, offers a solution to the gap between data science and software development workflows. While R and Python are popular choices for data science, Kotlin combines the simplicity and power of Python with the robustness and scalability of Java and Scala. This course provides a comprehensive overview of Kotlin and explains why it is becoming the preferred language for production-oriented data scientists and engineers.

The course assumes some prior knowledge of Intellij IDEA, JDK, Python, and basic analytics tools such as Pandas, R, Excel, and SQL. The instructor, Thomas Nield, is a senior business analyst at Southwest Airlines with extensive experience in developing revenue-generating reactive applications using Java, Kotlin, and ReactiveX. He is also adept at database design and maintains RxJavaFX.

In conclusion, this course is ideal for those interested in engineering in data science or pursuing a career in artificial intelligence. It covers the fundamentals of data science engineering and provides valuable insights into the field. Whether you are new to data science or looking to enhance your skills, this course will equip you with the knowledge needed to succeed in the industry.