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Julia Scientific Programming

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.

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University of Cape Town

Rating 4.4 based on 54 ratings
Length 5 weeks
Effort 4 weeks of study, 3-4 hours per week
Starts Mar 11 (in 4 weeks)
Cost $49
From University of Cape Town via Coursera
Instructors Juan H Klopper, Henri Laurie
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Mathematics
Tags Data Science Data Analysis Math And Logic

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What people are saying

We analyzed reviews for this course to surface learners' thoughts about it

very good in 7 reviews

It's a very good course for beginners of Julia, though I have learned Julia for more than one year, I still learned many useful things in this course.

But this course is still very good in spite of the dated code.

Very good for beginner Good!

Very good Intro to Julia with interesting practice problems.

introduction to julia in 6 reviews

This is a very nice introduction to Julia that should be accessible even for people for no background in programming.

It is a very good introduction to Julia.

While it's indeed a very good introduction to Julia lang, it makes no sense videos are based on course notes.

Nice introduction to Julia.

A good introduction to Julia.

Great introduction to Julia and programming A clear and well presented course.Suitable for newcomers and relatively new users of Julia.

data science in 4 reviews

The content is well structured and provides enough details so you can write your own (basic) data science routines in Julia.

Nothing too serious, yet, but some of the contents need to be reviewed in face of the current development status of Julia.I am looking forward to see a course on data science with Julia.

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.

This course is more like a lesson for data science, most of them are organized for plotting curve and making diagrams.

julia and many in 3 reviews

Very good way to start learning julia I learn a lot about Julia and many packages that are availables.

for data analysis in 2 reviews

More content could be covered for data analysis and perhaps more forum discussion could be encouraged.

I would recommend this course for those who want to get to know Julia and many key libraries in it for data analysis and visualization.

Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

Distributed Computing Analyst 3 $57k

Scientific Programmer 1 $74k

Scientific Programmer 2 $86k

Scientific estimator 3 $88k

Programmer Scientific $90k

Scientific Applications $91k

Analyst, Apple Computing $91k

Scientific Affairs $106k

Scientific Operations $110k

Scientific Strategist $116k

Bioinformatics Scientist, Scientific Computing $135k

Scientific Developer $143k

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Coursera

&

University of Cape Town

Rating 4.4 based on 54 ratings
Length 5 weeks
Effort 4 weeks of study, 3-4 hours per week
Starts Mar 11 (in 4 weeks)
Cost $49
From University of Cape Town via Coursera
Instructors Juan H Klopper, Henri Laurie
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Mathematics
Tags Data Science Data Analysis Math And Logic