About this course: This four-module course introduces users to Julia as a first language. Julia is a high-level, high-performance dynamic programming language developed specifically for scientific computing. This language will be particularly useful for applications in physics, chemistry, astronomy, engineering, data science, bioinformatics and many more. As open source software, you will always have it available throughout your working life. It can also be used from the command line, program files or a new type of interface known as a Jupyter notebook (which is freely available as a service from JuliaBox.com). Julia is designed to address the requirements of high-performance numerical and scientific computing while also being effective for general-purpose programming. You will be able to access all the available processors and memory, scrape data from anywhere on the web, and have it always accessible through any device you care to use as long as it has a browser. Join us to discover new computing possibilities. Let's get started on learning Julia. By the end of the course you will be able to: - Programme using the Julia language by practising through assignments - Write your own simple Julia programs from scratch - Understand the advantages and capacities of Julia as a computing language - Work in Jupyter notebooks using the Julia language - Use various Julia packages such as Plots, DataFrames and Stats The course is delivered through video lectures, on-screen demonstrations, quizzes and practical peer-reviewed projects designed to give you an opportunity to work with the packages.
Who is this class for: This course is for anyone wanting to learn how to use Julia for data analysis. This includes data scientists, engineers, mathematical modelling and students looking for new tools to work with data. Recommended Background A knowledge of high school mathematics is a basic requirement. While the class is designed for students with limited programming experience, some beginner programmers may find the class quite fast-paced. We recommend you work through the material slower, never forgetting that the only way to learn a language is to use it. We use Jupyter notebooks for the course and we encourage you to experiment with the notebooks we have created. For those of you who have done programming and want to get a taste of this language, you should be able to move through the material fast.
Taught by: Juan H Klopper, Dr
Department of Surgery
Taught by: Henri Laurie, Dr
Department of Mathematics and Applied Mathematics
| Level | Beginner |
| Commitment | 4 weeks of study, 3-4 hours per week |
| Language | English |
| How To Pass | Pass all graded assignments to complete the course. |
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The best thorough course for the foundations in analysis in Julia. I have not found any easy and complete explanation of Julia basics than this course. I completed the books Julia for Data Science by Anshul Joshi and other by Zacharias Voulgaris but they did not have as a solid foundation as this course has provided. Those books show more complex examples which will be easier to solve and understand after taking this course than the foundation provided in those books. Worth every penny for beginners to learn and experts to improve or polish their knowledge in Julia. Best course for beginners/expert I have ever had in my programming career.
Amazing course, introduces the Julia Programming Language in a very intuitive way. Honor Assignments are a great bonus that give a more in-depth Julia experience. Highly recommended for anyone entering the Julia landscape.
Very good for beginner
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The course started out well wit goof balance between lectures and applications during the first three weeks. Towards the end it felt rushed with too much content crammed into the last week.