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Julia Training
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 30 Hrs of Sessions |  20 Hrs of Labs |  Real-time Use cases |
 24/7 Lifetime Support |  Certification Based Curriculum |  Flexible Schedules |
 One-on-one doubt clearing |  Career path guidance |  Job Support |
Mindmajix Julia Training briefs the basics of the Julia programming language with a strong focus on numerical accuracy, scientific computing and statistics. Julia programs are organized around the multiple dispatch; by defining functions and overloading them for different argument types, which can also be user-defined.
Course Coverage
You will be exposed to the complete Julia Trainingcourse details in the below sections.
What niche is filled by Julia
How can Julia help you with data analysis
Getting started with Julia’s REPL
Alternative environments for Julia development: Juno, IJulia and Sublime-IJulia
The Julia ecosystem: documentation and package search
Getting more help: Julia forums and Julia community
Introduction to Julia REPL and batch execution via “Hello World”
Julia String Types
What is a variable? Why do we use a name and a type for it?
Integers
Floating point numbers
Complex numbers
Rational numbers
Vectors
Matrices
Multi-dimensional arrays
Heterogeneous arrays (cell arrays)
Comprehensions
Tuples
Ranges
Dictionaries
Symbols
Abstract types
Composite types
Parametric composite types
How to define a function in Julia
Julia functions as methods operating on types
Multiple dispatch
How multiple dispatch differs from traditional object-oriented programming
Parametric functions
Functions changing their input
Anonymous functions
Optional function arguments
Required function arguments
8+ More lessons
Most of the Julia Jobs in the industry expect the following add-on skills. Hence, we offer these skills-set as FREE Courses (Basics) to ease your learning process and help you stay ahead of the competition.
Our Julia Training course aims to deliver quality training that covers solid fundamental knowledge on core concepts with a practical approach. Such exposure to the current industry use-cases and scenarios will help learners scale up their skills and perform real-time projects with the best practices.
Choose your own comfortable learning experience.
30 hrs of Self-Paced Videos
Get Pricing
30 hrs of Remote Classes in Zoom/Google meet
2024 Batches
Start - End
Time
Weekdays
Nov 19 - Dec 04
07:00 PM
Weekend
Nov 23 - Dec 08
07:00 PM
Weekdays
Nov 26 - Dec 11
09:00 AM
Weekend
Nov 30 - Dec 15
09:00 AM
Customize your schedule here
Empower your team with new skills to Enhance their performance and productivity.
I opted for the Grunt Training from MindMajix. The trainer and coordinators are very helpful and knowledgeable about the course content. I am very happy with the train...
Our work-support plans provide precise options as per your project tasks. Whether you are a newbie or an experienced professional seeking assistance in completing project tasks, we are here with the following plans to meet your custom needs:
Many professionals transformed careers with better pay and higher positions.
Arka Basak is now working for Conentrix as a Network Engineer, who took VAPT Training from MindMajix while he was working for CSS Corp as a Senior Engineer.
76% of learners got 5x hike
68% of learners got promoted
83% of learners got certified
MindMajix's Julia Training program is indeed the best industry-specific training for learning Julia basics and leveraging Julia programming for machine learning and data science. Our Julia Course teaches programming concepts like String Types, Floating-Point Numbers, Arrays, Scalar Arrays, etc. We will give you the opportunity to work on real-world projects and industrial scenarios as part of the course curriculum to help you apply your Julia programming skills in Machine Learning and Data Science.
Through this Julia Training, you will get exposure to Julia's fundamentals and data science aspects. Anyone interested to use Juila programming in Data science must possess the following skills:
Julia is the programming language developed particularly for data science, data mining, complex linear algebra, machine learning, and data mining. The developers of this language handled the drawbacks of Python and other programming languages and provided a programming language suitable for trending domains like Data Science, Machine Learning, etc. Julia surpasses Python in terms of speed and easy-to-use. Globally, more than 10,000 enterprises are using Julia. As per Ziprecruiter.com, the average salary of a Julia Developer in the US is around $106K per annum.
There are no prerequisites to take this Julia Training, yet possessing a fundamental understanding of the C language and Python programming can help you understand Julia programming.
Anyone who wants to build a promising career in Data Science, Machine Learning, and Artificial Intelligence can join this Julia Training.
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