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This course includes:

  • 1.5 hours on-demand video
  • 14 articles
  • Full lifetime access
  • Access on mobile and TV
IT & Software Other IT & Software Julia Programming Language

Julia: Performing Statistical Computations

Mould your programming skills by carrying out dynamic numerical computations with Julia
Rating: 2.6 out of 52.6 (4 ratings)
44 students
Created by Packt Publishing
Last updated 5/2017
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • Get familiar with the key concepts in Julia
  • Follow a comprehensive approach to learn Julia programming
  • Get an extensive coverage of Julia’s packages for statistical analysis
  • Sharpen your skills to work more effectively with your data

Requirements

  • The software requirements assume you have any of the following OSes: Linux, Windows, or OS X
  • There are no specific hardware requirements, except that you run and work all your code on a desktop, or a laptop preferably

Description

Julia is a high-performance dynamic programming language for numerical computing. This practical guide to programming with Julia will help you to work with data more efficiently.

This course begins with the important features of Julia to help you quickly refresh your knowledge of functions, modules, and arrays. We’ll explore utilizing the Julia language to identify, retrieve, and transform datasets so you can perform efficient data analysis and data manipulation.

You will then learn the concepts of metaprogramming and statistics in Julia.

Moving on, you will learn to build data science models by using several algorithms such as dimensionality reduction, linear discriminant analysis, and so on.

You’ll learn to optimize data science programs with parallel computing and memory allocation. You’ll get familiar with the concepts of package development and networking to solve numerical problems using the Julia platform.

This course includes sections on identifying and classifying data science problems, data modelling, data analysis, data manipulation, multidimensional arrays, and parallel computing.

By the end of this course, you will acquire the skills to work more effectively with your data.


What am I going to get from this course?

  • Extract and manage your data efficiently with Julia

  • Explore the metaprogramming concepts in Julia

  • Perform statistical analysis with StatsBase.jl and Distributions.jl

  • Build your data science models

  • Find out how to visualize your data with Gadfly

  • Explore big data concepts in Julia

What’s special about this course?

We've spent the last decade working to help developers stay relevant. The structure of this course is a result of deep and intensive research into what real-world developers need to know in order to be job-ready. We don't spend too long on theory, and focus on practical results so that you can see for yourself how things work in action.

We have combined the best of the following Packt products:

  • Julia Cookbook by Jalem Raj Rohit
  • Julia Solutions by Jalem Raj Rohit


Meet your expert instructors:

Jalem Raj Rohit is an IIT Jodhpur graduate with a keen interest in machine learning, data science, data analysis, computational statistics, and natural language processing (NLP). Rohit currently works as a senior data scientist at Zomato, also having worked as the first data scientist at Kayako. He is part of the Julia project, where he develops data science models and contributes to the codebase. 


Meet your managing editor:

This course has been planned and designed for you by me, Shiny Poojary. I'm here to help you be successful every step of the way, and get maximum value out of your course purchase. If you have any questions along the way, you can reach out to me and our author group via the instructor contact feature on Udemy.


Who this course is for:

  • This course is for Julia programmers who want to learn data science right from exploratory analytics to the visualization part.
  • Anyone who wants to work more effectively with data

Course content

6 sections • 37 lectures • 2h 27m total length

  • Preview04:32
  • Preview06:00
  • Handling data with TSV files
    02:38
  • Working with databases in Julia
    04:46
  • Interacting with the Web
    06:06
  • Quiz Time!
    2 questions

  • Preview06:14
  • Symbols and expressions
    03:04
  • Quoting
    03:03
  • Interpolation
    01:29
  • The Eval function
    03:17
  • Macros
    04:23
  • Metaprogramming with DataFrames
    07:45
  • Quiz Time!
    2 questions

  • Basic statistics concepts
    06:15
  • Deviation metrics
    03:23
  • Sampling
    04:06
  • Correlation analysis
    07:37
  • Quiz Time!
    2 questions

  • Dimensionality reduction
    03:32
  • Linear discriminant analysis
    03:21
  • Data preprocessing
    03:29
  • Linear regression
    03:12
  • Classification
    01:12
  • Performance evaluation and model selection
    04:38
  • Cross validation
    04:29
  • Distributions
    05:07
  • Time series analysis
    03:09
  • Quiz Time!
    2 questions

  • Plotting basic arrays
    02:11
  • Plotting dataframes
    02:31
  • Plotting functions
    05:22
  • Exploratory data analytics through plots
    05:06
  • Line plots
    05:06
  • Scatter plots
    01:33
  • Histograms
    01:36
  • Aesthetic customizations
    03:42
  • Quiz Time!
    2 questions

  • Basic concepts of parallel computing
    05:20
  • Data movement
    02:36
  • Parallel maps and loop operations
    03:19
  • Channels
    01:52
  • Quiz Time!
    2 questions

Instructor

Packt Publishing
Tech Knowledge in Motion
Packt Publishing
  • 3.9 Instructor Rating
  • 56,863 Reviews
  • 345,649 Students
  • 1,423 Courses

Packt has been committed to developer learning since 2004. A lot has changed in software since then - but Packt has remained responsive to these changes, continuing to look forward at the trends and tools defining the way we work and live. And how to put them to work.

With an extensive library of content - more than 4000 books and video courses -Packt's mission is to help developers stay relevant in a rapidly changing world. From new web frameworks and programming languages, to cutting edge data analytics, and DevOps, Packt takes software professionals in every field to what's important to them now.

From skills that will help you to develop and future proof your career to immediate solutions to every day tech challenges, Packt is a go-to resource to make you a better, smarter developer.

Packt Udemy courses continue this tradition, bringing you comprehensive yet concise video courses straight from the experts.



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