Julia Training

BY
Mindmajix Technologies

Master the fundamentals of the Julia programming language by enrolling in the Mindmajix-offered online training.

Mode

Online

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study, Virtual Classroom
Mode of Delivery Video and Text Based
Frequency of Classes Weekdays, Weekends

Course overview

Julia Training course is an online training on Julia programming language created and administered by the e-learning platform Mindmajix. The online programme aims at providing the students with a solid foundation on the programming language of Julia focusing on statistics, scientific computing and numerical accuracy. The learners will master all the aspects of Julia which is a dynamic and high-performance programming language through this training programme.

Julia Training online course could be taken by the candidates through either the self-paced e-learning videos of 30 hours or Zoom or Google meet live sessions led by instructors. The training for corporate entities is also available in this training programme on programming. The curriculum will equip the participants with a deep understanding of various strands of Julia such as Scalar Types, Control Flow, Functions, Arrays, Metaprogramming, Plotting, Parallel Computing and whatnot.  The learners who pursue the Julia Training certification will also be provided with the aid to attend the interview with confidence, access to the e-learning videos all their life, support to come up with an outstanding resume at the end of the programme.

The highlights

  • Offered by Mindmajix
  • 100% online course
  • FREE Demo on Request
  • Flexible Schedule
  • Online Live and Self-paced Training Options
  • 24/7 Lifetime Support
  • Life-Time Self-Paced Videos Access
  • One-on-One Doubt Clearing
  • Certification Oriented Curriculum

Program offerings

  • One-on-one doubt clearing sessions
  • Certification oriented curriculum
  • Real-time project use cases
  • 20 hours of labs
  • Free demo on request
  • 24/7 lifetime support
  • 30 hours of sessions
  • Online live and self-paced training options

Course and certificate fees

certificate availability

Yes

certificate providing authority

Mindmajix Technologies

What you will learn

Programming skills

After the completion of Julia Training online certification, the enrolled students will be able to gain a thorough knowledge of Julia programming language and related topics including Julia String Types, Integers, Complex numbers, Multi-dimensional arrays, Parametric functions, Loops and much more.

The syllabus

Introduction To Julia

  • 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

Strings: Hello World

  • Introduction to Julia REPL and batch execution via “Hello World”
  • Julia String Types

Scalar Types

  • What is a variable? Why do we use a name and a type for it?
  • Integers
  • Floating point numbers
  • Complex numbers
  • Rational numbers

Arrays

  • Vectors
  • Matrices
  • Multi-dimensional arrays
  • Heterogeneous arrays (cell arrays)
  • Comprehensions

Other Elementary Types

  • Tuples
  • Ranges
  • Dictionaries
  • Symbols

Building Your Own Types

  • Abstract types
  • Composite types
  • Parametric composite types

Functions

  • 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

Constructors

  • Inner constructors
  • Outer constructors

Control Flow

  • Compound expressions and scoping
  • Conditional evaluation
  • Loops
  • Exception Handling
  • Tasks

Code Organization

  • Modules
  • Packages

Metaprogramming

  • Symbols
  • Expressions
  • Quoting
  • Internal representation
  • Parsing
  • Evaluation
  • Interpolation

Reading And Writing Data

  • Filesystem
  • Data I/O
  • Lower Level Data I/O
  • Dataframes

Distributions And Statistics

  • Defining distributions
  • Interface for evaluating and sampling from distributions
  • Mean, variance and co variance
  • Hypothesis testing
  • Generalized linear models: a linear regression example

Plotting

  • Plotting packages: Gadfly, Winston, Gaston, PyPlot, Plotly, Vega
  • Introduction to Gadfly
  • Interact and Gadfly

Parallel Computing

  • Introduction to Julia’s message passing implementation
  • Remote calling and fetching
  • Parallel map (pmap)
  • Parallel for
  • Scheduling via tasks
  • Distributed arrays

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