DEV Community: udemy hunt

Compass - powerful SASS library that makes your life easier

udemy hunt — Fri, 25 Oct 2019 14:34:59 +0000

Compass is a framework (library) for SASS which means that inside of it you can find lots of useful utilities -that I will be showing you inside this course.

These utilities can save your time with developing your websites. By using Compass, you can use various functions/mixins created by other programmers, which you would normally need to write on your own.

As always time = money. Save your time by learning Compass.

Make your website load faster using Sprites within Compass. With Compass you can create Sprites instantly. If you do not know what Sprites are, watch my free lesson about Sprites and you will see that this course is worth taking.

After my course you will know how to:

install compass

integrate compass with sass

use compass

use and know what are sprites

use Compass inside a great IDE

create vendor prefixes using mixins

and much more

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Make Four Projects From Scratch: CSS And HTML

udemy hunt — Thu, 20 Jun 2019 03:13:48 +0000

If you are an aspiring web developer hoping to get a deeper understanding of CSS, this course will take your skills to the next level.

All of these projects below will help you better understand some of the more complicated concepts in CSS.

For example, you will become more familiar with how to use variables, functions, box-shadows as well as how to use more complicated CSS properties such as animation and transform.

The projects in this course are made using pure CSS: no knowledge of javascript is required.

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R Programming - Data Science using R

udemy hunt — Thu, 13 Jun 2019 16:29:27 +0000

Beginners Training on R Programming

R is a programming language and related to software environment for statistical computing and graphics. R programming languages is mostly used in graphics, it also used mostly by statisticians for developing software’s. Through this course one will be learning about basic R functions, special numerical values, array and matrix, repository and packages, installing a package, how to calculate variance, co-variance, cumulative frequency, learn about statistics, probability and distribution, random examples, discrete example and many as such concept about R.

Through this training you are going to learn the basics of R and how it can be used for data processing and data visualization to carry out exploratory analysis.

Target Customers:

Analytics professional

Anyone interested in R Programming related Training

Web developers

People interested in statistics and data sciences

Researchers

Pre-Requisites:

Passion to learn about R Programming Courses

Computer ready to run R and RStudio

Basic knowledge of statistics

Computer with Internet Connection

Statistics Essentials for Analytics – Beginners:

Data and analytics is closely related to and often overlaps with computational statistics; a discipline that also specializes in prediction-making.

Through this tutorial you are going to learn the basic statistical concepts that are important to data analytics and its application using R, SPSS and Minitab.

The training will include the following;

Module1: Introduction to basic elements of Statistics

Module2: Measures of central tendency using R or Minitab Software

Module3: Measure of Dispersion using R/Minitab Software

Module4: Correlation and Simple linear regression using R programme

Module5: Understanding of Normal Distribution using R programme

Market Basket Analysis in R:

Market Basket Analysis is a modelling technique based upon the theory that if you buy a certain group of items, you are more (or less) likely to buy another group of items. We are understanding the conceptual foundations of association analysis and perform market basket analyses.
The training includes the following topics;

What is Market Basket analysis
– Introduction
– What Market Basket Analysis is not
– Elements of MBA and key terminologies
– Understanding Confidence and Support
– Association rules
– Examples of MBA
– Applications
Case study – MBA for marketing campaign using R
– Problem statement
– Introduction to apriori algorithm in R
– Deciding the support and confidence cutoffs
– Executing MBA
– Visualizing the results in R

Data Visualization with R Shiny – Basic Tutorials:

Data visualization is understanding the significance of data by placing it in a visual context. Patterns, trends that might go unnoticed in text-based data can be exposed and recognized easier with data visualization software. It basically involves presentation of data in a pictorial or graphical format.

Through this training we are going to learn how to use R and Shiny to create fascinating data visualizations.

The training will include the following;

Introduction

Web Development

Shiny

Resources

Getting Started

Structure of a Shiny App

Server

Reactive Programming

Add-on Packages

Data Training Campus

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Basics Of Flat Design Illustrations In Canva

udemy hunt — Thu, 23 May 2019 23:29:25 +0000

Creating basic flat design illustrations in Canva for Social Media Posts and Video Thumbnails

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Angular 2+ with Typescript - Essential Training

udemy hunt — Thu, 23 May 2019 16:02:40 +0000

Learn Angular 2 (or 4) from the ground up | This course combines a Project, Slides and Quizzes | Perfect for beginners.

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Reactjs Quick Start

udemy hunt — Tue, 21 May 2019 17:10:41 +0000

I've heard people saying: "React is the best thing happened in the world of web development." Well, I let you judge if it's the best thing or not, but it definitely is a good thing. At least having it in your resume, can be the best thing happened in it.

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Write Clean Css Using Sass

udemy hunt — Mon, 20 May 2019 15:12:50 +0000

Using SASS you will create CSS 10x times faster. I'll teach you how to maintain a code on a whole new level using SASS

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