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100 Great Time Management Ideas (100 Great Ideas)
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iOS14 Tinder like Dating application with Firebase & Swift
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 172 lectures (30h 38m) | Size: 15.5 GB

Build Dating Application like Tinder using iOS 14, Swift 5 & xCode 12 Firebase and MessageKit. Latest iOS from Apple

What you'll learn:
Firebase Authentication
Firebase Data structuringf
Firebase Web Messaging
Developing apps for iOS14
Using 3rd party libraries
Writing clean readable code

Experience with Swift development
Mac or Windows running virtual macOS

In iOS14 Tinder like Dating application with Firebase & Swift we are going to build copy of Tinder Application.

Unlike any other courses found on Udemy, I always teach full real world apps, when we finish with the course, you are going to have an app ready to post to AppStore.

What our app will include:

Firebase Authentication

Email address Verification

Firebase Database

Firebase FireStore

Firebase Storage

Firebase Messaging

Integrating 3rd party libraries to SWIFT project

Apple Push notification and certification creation

MessageKit for Chat functionality

Custom UI Design from ready Sketch File

and many more

This iOS14 Tinder like Dating application with Firebase & Swift is NOT beginner level course. You need to know your way around the xCode, be familiar with it, you have to have basic knowledge in Swift and application building. We are going to start from scratch and build the application together. All assets will be provided by me. I will type and explain every line of code. By the time we finish, you will learn a lot of new things even if you are experienced iOS developer.

The curse will teach you how to write clean and readable code, structure your app development, so even if you get back to your code in few years, you can read and understand it clearly.

We are also proud to say that we have one of the best Support available on Udemy! Our Q/A Section is constantly monitored and all questions are answered within few hours, Sometimes we even chat with students in real time to help them with the issues they may face during the study.

Don't waste your time on low quality courses where you don't even get support of the instructor

We are so confident that you'll love this course that we're offering a FULL money back guarantee for 30 days, No Questions Asked! So it's a complete no-brainer, sign up today with ZERO risk and EVERYTHING to gain.

So what are you waiting for? Click the Buy Now button and join the best iOS14 Course on Udemy.

Who this course is for
Any one that would like to extend his iOS development knowledge


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Manual Design of G+3 RC Residential Building
Video: .mp4 (1280x720, 30 fps®) | Audio: aac, 44100 Hz, 2ch | Size: 8.57 GB
Genre: eLearning Video | Duration: 24 lectures (7 hour) | Language: English

Detailed Hands on Calculations

What you'll learn

Design of Slab, Beam, Column, Footing


Structural Analysis


Design of reinforced concrete structures is an introductory design course in civil engineering. In this course, basic elements governed by bending, shear, axial forces or combination of them are identified and are considered as building blocks of the whole structure. Different methods of design will be briefly described before introducing the limit states of collapse and serviceability. The design will be done as per IS 456:2000.

Who this course is for:

Civil Engineering

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NEW JavaScript Complete Grandmaster 2020. Ongoing updates.
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Bestseller | Genre: eLearning | Language: English | Duration: 213 lectures (12h 47m) | Size: 10.7 GB

Beginner to Advanced. Proven hands on teaching method. Comprehensive. Practical & current. Everything you need to know.

What you'll learn:
210+ lectures and 12+ hours of well-structured content
Latest JavaScript (including ES6/ES7/ES8/ES9/ES10/ESNext)
Understand what JavaScript can do for you and how to use it
From beginner to expert (advanced +) - become a freelancer web developer
*** Download. Videos can be downloaded for offline viewing
Ongoing updates to keep you current
Learn how HTML, CSS and JavaScript relate to each other
If you have knowledge of machine languages and the fundamentals of JavaScript, start at section 4
You will emerge an expert
How to write JavaScript in the console (very useful when you're testing code)
Introduction to machine language, JavaScript engines, IDEs
How to use a text editor (both online ones and offline ones) that are completely free
Gives you depth of knowledge to boost your ability and confidence
Forum support from me
All the techniques used by professional programmers

Basic html/css
No previous JavaScript skills are needed. By the end of course, you'll be a JavaScript Grandmaster
Desire to KNOW JavaScript
A computer is required as you need to code alongside me to learn effectively

What this course covers?

JavaScript is the #1 scripting language of the web, where a lot of the dynamic and styled content is handled by JavaScript in the background. But before using this language to create dynamic websites, you need to have a firm grasp of how it works behind the scenes.

By the end of this course, you'll be able to "speak" JavaScript by gaining an understanding of how the browser uses it, what variables, objects and functions are, what different data types there are and how to manipulate content on a website. We dig deeper and create our own dialog methods from scratch. We learn about the arrow syntax, Math.random() function, looping through objects and arrays, working with dates. We look at prototypes, JS Engines, the Execution Stack and a whole bunch more!

Through practical examples, this course helps you understand JavaScript piece by piece. And we use the latest and best features of JavaScript along the way so you can stay ahead of the pack.

*** The most important JavaScript course on Udemy ***

Successful programmers know more than rote learning a few lines of JavaScript code. They also know the fundamentals of how the language works, its strength and weaknesses, and how the machine uses what they write to create amazing and functional websites.

I want you to become a successful programming Grandmaster.

I want you to be able to apply JavaScript to your webpage.

This course is perfect for you.


Hi there, my name is Clyde and together we're going to discover JavaScript and apply it to practical situations. We're going to practice and learn and emerge confident to tackle any challenges modern programs and websites throw at us.

After completing a few (unrelated) university degrees, and post grad studies, I developed a fascination for web design and software languages. For several years I have immersed myself in this. I spent a fair bit on top courses and went on to apply the knowledge practically. I recognized gaps in some of the courses I've taken and hence my course teaches what I wish I was taught. My intention is to share the knowledge with you in an easy to follow manner, so that we can benefit together. You benefit form learning, and I from sharing in your success.

This course is for beginners and for intermediates. If you know the basics, you may want to skip the first few sections.

Download all course content

I allow you to download all my course content to your computer for offline access. I remember how important this was to me when I was first starting out. Enjoy!

We dig deeper

You won't just learn a few pieces of code, you will also learn the fundamentals of programming itself. This is important as all programming languages are built from the same foundation. Learning core concepts of JavaScript will put you on the path of becoming an Grandmaster programmer in any language.

You will learn "why" things work and not just "how". Understanding the fundamentals of JavaScript is important as it will allow you to write more complicated code. And trust me, every programming encounters bugs, and without understanding the fundamentals you will be totally lost.

Practice makes perfect

Theory is theory . but there's nothing like getting behind your computer and typing in code. That's why we will be coding, laughing and pulling out our hair together as we code real life websites and exercises during this course.

Is this course for you?

If you fit in any of these categories then this course is perfect for you:

Student #1: You want to dabble in the world of programming: learning the fundamentals of JavaScript will allow you to extend this knowledge to any language

Student #2: You want to gain a deep understanding of JavaScript, the world's most popular scripting language

Student #3: You want to start using frameworks like Angular or Node.js, which are heavily dependent on JavaScript

Student #4: You kinda know what JavaScript is, but have little knowledge about how it works behind the scenes, and how to practically implement it in your code

Student #5: You have taken other courses in JavaScript but just don't feel like you've grasped it

What do you get?

· Lifetime access to all tutorial videos. No fees or monthly subscriptions.

· *** Watch videos offline by being able to download them. Many courses don't allow this, but I do as I know how useful it can be.

· Q&A support.

· Quizzes and challenges to help you learn.

Let's get excited about becoming a professional in JavaScript, and to be able to confidently apply it to your website.

See you in class.

Who this course is for
YES: This course is for beginners. Aimed at people new to the world of web design. No previous Javascript experience is necessary.
NO: This course is NOT only for beginners. It is a complete beginner to advanced master course that is suitable for intermediates who know the basics and have used JavaScript. Experienced students sometimes prefer to start with Section 4 onwards.
YES: This course is for someone wanting to be a professional, to be expert and confident in using JavaScript to create complex and impressive websites.
Those who want to learn modern JavaScript from beginning to Grandmaster level without third party libraries and frameworks
Those interested in building their own frameworks, or being better able to learn from the source code of other well-known frameworks and libraries
Those wanting to start using frameworks like Angular or NodeJs, which are heavily dependent on JavaScript
Those who have some knowledge of JavaScript, but little knowledge about how it works behind the scenes, and how to practically implement it in websites


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HTML5 Game Development Mini-Degree
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + vtt | Duration: 19 Lessons (31h 13m) | Size: 23 GB

Complete Phaser 3 and JavaScript game development curriculum. Learn to code and create a huge portfolio of both mobile and desktop games The HTML5 Game Development Mini-Degree is the world's most comprehensive on-demand curriculum. Learn to code and create impressive games with Phaser 3, the JavaScript library that took the developer community by storm, through a series of comprehensive, step-by-step video tutorials.
With this online program, we want to show you how fun creating games can be, and how seeing other people play and enjoy your creations can be an incredibly fulfilling experience

HTML and CSS skills
A web browser
A local web server (covered in within the course)


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English Conversation Launch: Upgrade Your English
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 48000 Hz
Language: English | VTT | Size: 9.89 GB | Duration: 10 hours

English Conversation Launch • Upgrade Your English
2020-04 | English | MP3, MP4, PDF | 9.89 GB (ALL in 40 parts)

Learn English conversation, speaking and listening skills and become more fluent learning from a native English teacher.

What you'll learn
Understand everyday English conversations more deeply.
Understand more words and expressions that native speakers use daily.
Speak English with more confidence.
Produce the target words and expressions confidently and accurately.

A desire to improve your English through practice.
An intermediate or above level of English.

English Conversation Launch is an English conversation course taught by me, Anthony, a native British English speaker. You will learn the target English words and expressions at a deep level, so that you can sound more native-like when you speak English in everyday conversations.

Start to speak with more creativity and variety by upgrading your English conversation ability!

This course includes:

· lectures explaining all the conversations we listen to

· speaking practice for every single word/expression

· listening practice for every single word/expression

· future updates - this course will continue to grow and grow

· PDF transcripts

· and MP3 downloads so that you can learn anywhere, any time.

Each section focuses on one conversation and 15 target words and phrases so that you can master each one and produce them accurately in your spoken English.

This course is extremely detailed, so you can fully master the target English.

If you want to speak English more clearly, if you want to sound more native-like, or if you simply want to take your English to a higher level, this course can help you achieve your goal of taking your English to the next level.

This course is also perfect for anyone taking an IELTS test, TOEFL test or TOEIC test.

I'm really excited to be able to help you improve your English today.

Who this course is for:
Take this course if you want to improve your English conversations.
Take this course if you want to master Everyday English words and expressions and take your English to a higher level.
Take this course if you want to improve your spoken English.
Take this course if you want to upgrade your listening skills in English.
Take this course if you are preparing for an exam (IELTS, TOEIC etc.)
Take this course if you want to speak English with more creativity.

More Info:

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Data Visualization with R and ggplot2
Bestseller | h264, yuv420p, 1280x720 |ENGLISH, 44100 Hz, 2 Channels | 20h 40mn | 9.55 GB

R Programming Language for Data Visualization. GGplot2, Data Analysis, Data Preparation, Data Sciene Tools, RStudio

What you'll learn

Visualize data
Foundations of data visualization (Grammar of Graphics and ggplot2)
Transform data before visualization is applied (data wrangling libraries)
Apply exploratory data analysis techniques with R and ggplot2
Wrap up analysis using RMarkdown reports
Use ggplot2 for creating many different standard statistical plots


R and RStudio already installed on your computer.
Basic knowledge of statistics is a plus.
Basic to intermediate R knowledge is a plus.
Complete R beginners will find course more challenging.
For complete R beginners I recommend first taking one of the R beginners courses, to get proper foundations needed.
To be fond of data transformation libraries (dplyr, tidyr) is a plus. However course includes a quick overview of dplyr and tidyr.
Interest in data science and data visualization.
Please update R or R's libraries if necessary. List of versions ( R and all R's libraries used in the exercises) provided at the end of course material.


Today we live in a world where tons of data is generated every second. We need to analyze data to get some useful insight. One of the strongest weapons for data insight is data visualization. Probably you have heard this one before: "A picture tells more than a thousand words combined ". Therefore to tell stories from the data we need tools for producing adequate and amazing graphics. Here R as one of the most rapidly growing tools in the fields of data science and statistics provides needed assistance. If you combine R with its library ggplot2 you get one of the deadliest tools for data visualization, which grows every day and is freely accessible to anyone.

This course is designed to first give you quick and proper theoretical foundations for creating statistical plots. Then you dive into the world of exploratory data analysis where you are confronted with different datasets and creating a wide variety of statistical plots.

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Complete guide to ASP.NET Core MVC (v3.1)
h264, yuv420p, 1280x720 |ENGLISH, 44100 Hz, 2 Channels | 23h 13mn | 11.33 GB

Build real world application using ASP.NET Core using EF Core, payments, repository pattern and ASP.NET Core Identity

What you'll learn

Learn structure of ASP NET MVC Core 3.1 Project
Learn structure of ASP NET Core 3.1 Razor Project
Learn basic fundamentals of ASP NET MVC Core 3.1
Build 2 Projects throughout the course
Integrate Identity Framework and learn how to add more fields to Users
Interact with Razor class library for Identity
Integrate Entity Framework along with code first migrations
Sessions in ASP NET Core 3.1
Custom Tag Helpers in ASP NET Core 3.1
View Components and Partial Views in ASP NET Core
Bootstrap v4
Authentication and Authorization in ASP NET Core 3.1
Google and Facebook Authentication/Login
Role Management in ASP NET Core Identity
SMS and Email notifications
TempData in ASP NET Core 3.1
Stripe and Brain-tree Payment Integrations
Repository Pattern to Access Database
Dapper and Stored Procedure Calls
Seed Database Migrations Automatically
Deploying website on Microsoft Azure and IIS


3-6 months knowledge of C#
Visual Studio 2019
SQL Server Management Studio
.NET Core 3.1


This is a Beginner to Advanced level course on ASP.NET Core 3.1 that will take you from basics all the way to advance mode. This course is for anyone who is new to ASP.NET Core 3.1 or who is familiar with ASP.NET and wants to take a first stab at understanding what is different in ASP.NET Core 3.1. From there we would be building multiple projects to understand all concepts in ASP.NET Core 3.1 as we will deploy our final application on Azure as well as IIS.

Throughout this course, we would understand the evolution of ASP.NET Core and then we would take a look at the modified files and folder structure.

We would then take a look at new concepts in ASP.NET Core 3.1

We would build a small Razor application with CRUD operations using Entity framework for integration with the database.

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Case Studies in Data Mining with R
h264, yuv420p, 1280x720 |ENGLISH, 44100 Hz, 2 Channels | 21h 53mn | 14.77 GB

Learn to use the "Data Mining with R" (DMwR) package and R software to build and evaluate predictive data mining models.

What you'll learn

Understand how to implement and evaluate a variety of predictive data mining models in three different domains, each described as extended case studies: (1) harmful plant growth; (2) fraudulent transaction detection; and (3) stock market index changes.
Perform sophisticated data mining analyses using the "Data Mining with R" (DMwR) package and R software.
Have a greatly expanded understanding of the use of R software as a comprehensive data mining tool and platform.
Understand how to implement and evaluate supervised, semi-supervised, and unsupervised learning algorithms.


Students will need to install no-cost R software and the no-cost RStudio IDE (instructions are provided).


Case Studies in Data Mining was originally taught as three separate online data mining courses. We examine three case studies which together present a broad-based tour of the basic and extended tasks of data mining in three different domains: (1) predicting algae blooms; (2) detecting fraudulent sales transactions; and (3) predicting stock market returns. The cumulative "hands-on" 3-course fifteen sessions showcase the use of Luis Torgo's amazingly useful "Data Mining with R" (DMwR) package and R software. Everything that you see on-screen is included with the course: all of the R scripts; all of the data files and R objects used and/or referenced; as well as all of the R packages' documentation. You can be new to R software and/or to data mining and be successful in completing the course.

The first case study, Predicting Algae Blooms, provides instruction regarding the many useful, unique data mining functions contained in the R software 'DMwR' package. For the algae blooms prediction case, we specifically look at the tasks of data pre-processing, exploratory data analysis, and predictive model construction. For individuals completely new to R, the first two sessions of the algae blooms case (almost 4 hours of video and materials) provide an accelerated introduction to the use of R and RStudio and to basic techniques for inputting and outputting data and text.

Detecting Fraudulent Transactions is the second extended data mining case study that showcases the DMwR (Data Mining with R) package. The case is specific but may be generalized to a common business problem: How does one sift through mountains of data (401,124 records, in this case) and identify suspicious data entries, or "outliers"? The case problem is very unstructured, and walks through a wide variety of approaches and techniques in the attempt to discriminate the "normal", or "ok" transactions, from the abnormal, suspicious, or "fraudulent" transactions. This case presents a large number of alternative modeling approaches, some of which are appropriate for supervised, some for unsupervised, and some for semi-supervised data scenarios.

The third extended case, Predicting Stock Market Returns is a data mining case study addressing the domain of automatic stock trading systems. These four sessions address the tasks of building an automated stock trading system based on prediction models that utilize daily stock quote data. The goal is to predict future returns for the S&P 500 market index. The resulting predictions are used together with a trading strategy to make decisions about generating market buy and sell orders. The case examines prediction problems that stem from the time ordering among data observations, that is, from the use of time series data. It also exemplifies the difficulties involved in translating model predictions into decisions and actions in the context of 'real-world' business applications.

What are the requirements?

Students will need to install no-cost R software and the no-cost RStudio IDE (instructions are provided).

What am I going to get from this course?

Understand how to implement and evaluate a variety of predictive data mining models in three different domains, each described as extended case studies: (1) harmful plant growth; (2) fraudulent transaction detection; and (3) stock market index changes.
Perform sophisticated data mining analyses using the "Data Mining with R" (DMwR) package and R software.
Have a greatly expanded understanding of the use of R software as a comprehensive data mining tool and platform.
Understand how to implement and evaluate supervised, semi-supervised, and unsupervised learning algorithms.

Who is the target audience?

The course is appropriate for anyone seeking to expand their knowledge and analytical skills related to conducting predictive data mining analyses.
The course is appropriate for undergraduate students seeking to acquire additional in-demand job skill sets for business analytics.
The course is appropriate for graduate students seeking to acquire additional data analysis skills.
Knowledge of R software is not required to successfully complete this course.
The course is appropriate for practicing business analytics professionals seeking to acquire additional job skill sets

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Current time: 15-08-2020, 01:36 PM