Engineering and Technology
Julia is a new programming language designed to be the ideal language for scientific computing, machine learning, and data mining.
Begin your journey with Julia Programming, a cutting-edge language specifically designed for scientific computing, machine learning, and data mining. This comprehensive course will provide you with a solid foundation in Julia, enabling you to excel in these fields. Whether you are a beginner with no prior programming experience or an experienced programmer looking to expand your skillset, this course caters to all levels of expertise. Starting from the fundamentals, we will guide you through the intricacies of Julia, ensuring a smooth learning experience. Julia combines the speed of C, the versatility of Python, and the statistical capabilities of R, making it a highly efficient and powerful language. Throughout the course, you will gain a deep understanding of Julia's unique features, including its handling of data types. Delve into the world of Julia programming as you explore data storage and processing using arrays, master the art of writing reusable code through functions, and leverage popular packages to access code developed by other Julia programmers. Additionally, you will harness the power of Julia's standout feature, multiple dispatch, and apply it to your own projects. Upon completion of this course, you will have a comprehensive understanding of Julia programming. You will be well-versed in the basics, including data types and structures, functions and packages, and proficient in utilizing DataFrames for efficient manipulation of tabular data.
by DataCamp
Julia is a new programming language designed to be the ideal language for scientific computing, mach...
by DataCamp
Take your Julia skills to the next level with our intermediate Julia course. Learn about loops, adva...
by DataCamp
Master the essential skills of data manipulation in Julia. Learn how to inspect, transform, group, a...
by DataCamp
Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R w...
by DataCamp
Master the basics of data analysis with Python in just four hours. This online course will introduce...
by DataCamp
Learn A/B testing: including hypothesis testing, experimental design, and confounding variables.
by DataCamp
Learn how to implement and schedule data engineering workflows.
by DataCamp
Learn statistical tests for identifying outliers and how to use sophisticated anomaly scoring algori...
by DataCamp
Learn about AWS Boto and harnessing cloud technology to optimize your data workflow.
by DataCamp
Bash scripting allows you to build analytics pipelines in the cloud and work with data stored across...