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Node.js Certification Training (beginner to expert) 2020

Node.js Certification Training (beginner to expert) 2020
Duration: 20h 51m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 8.04 GB
Genre: eLearning | Language: English

Master Node.js from scratch and become a Full Stack Web Developer (MERN and MEAN stacks). Integrate Node.js with MongoDB



What you'll learn
Complete knowledge of NodeJS technology
Become Full Stack Web Developers - MEAN and MERN stacks
Introduction to Node JS and Installing Node JS
Var Hoisting and Functional Scope
let and const, let vs const
Function Expressions and Arrow Functions
Default Parameters, Rest Operator and Spread Operator
String Templates
JavaScript Modules Export and Import
for. of loop
Objects and Object Literals
Destructuring Arrays and Objects
Global Objects, Exporting Classes and Functions, Promises
NodeJS Modules, Module Patterns, Shared Memory Modules
Node Package Manager (npm), Installing and uninstalling modules
How to generate package json using npm
NodeJS Events, File System, Inspector, URL Module
Installing Nodemon, Client and Server, Create a Server
Streams and Buffers, Pipes
Serving HTML Pages, Serving JSON Data, Routing in Node JS
Node Js Uploading Files
Sending Emails in Node JS
Node JS With MongoDB Database and MongoDB Cloud
NodeJS with MySQL

Requirements
Enthusiasm and determination to make your mark on the world!

Description
NODE.js - Course Syllabus
Introduction to Node.js
Installing Node JS
Var Hoisting and Functional Scope
let and const, let vs const
Function Expressions and Arrow Functions
Default Parameters, Rest Operator and Spread Operator
String Templates
Java Script Modules Export and Import
for. of loop
Objects and Object Literals
Destructuring Arrays and Objects
Global Objects
Exporting Classes and Functions
Promises
Node.js Modules, Module Patterns, Shared Memory Modules
Node Package Manager (npm)
Installing and uninstalling modules
How to generate package.json using npm
Node.js Events
Node.js File System
Node Inspector
Node.js URL Module
Installing Nodemon
Client and Server
Creating a Server
Streams and Buffers
Pipes
Serving HTML Pages
Serving JSON Data
Routing in Node.js
Node.Js Uploading Files
Sending Emails in Node.js
Node.js With MongoDB Database
Connecting to MongoDB
Creating Database
Creating Collections and Dropping Collections
Saving Data
Selecting Data
Deleting Data
Updating Data
Querying Data
Sorting Data
Limit
34. Node.js with Mongo DB Cloud
35. Node.js with MySQL


Who this course is for:
Full Stack Developers
NodeJS Developers
Senior Developers - React, Node
Beginners and newbies aspiring for a career in Web Development
Node/JavaScript Developers
Application Developers
Software Engineers & Programmers
Anyone wishing to learn Node JS and Express JS
Frontend Developers - JavaScript, ReactJS, NodeJS
Solution Architects & Technical Architects
Engineering Managers
IT Developers & App Programmers

More Info

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Learn Laravel, Laravel API, Flutter From Scratch

Learn Laravel, Laravel API, Flutter From Scratch
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz
Language: English | Size: 7.90 GB | Duration: 14h 38m



What you'll learn
Laravel
Laravel API
Flutter

Requirements
Basics PHP
xampp server
any editor PHP

Description
Learn Laravel, Laravel API, Flutter From Scratch

make ecommerce, multi vendors, news, api using Laravel and make ecommerce app

in Course your Learn:

Laravel From Scratch

How To make Laravel API

Dart & Flutter From Scratch

Connect Laravel API With Flutter

Programming Any Application Andtoid & iOS Using Laravel API and Flutter

Programming E-commerce Application Andtoid & iOS Using Laravel API and Flutter


Who this course is for:
Geeks
Students
Any person Using PHP in Projects


Homepage

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The ULTIMATE Guide to Hard Ops and Boxcutter

The ULTIMATE Guide to Hard Ops and Boxcutter
Josh Gambrell, Ponte Ryuurui | Duration: 10h+ | Video: H264 1920x1080 | Audio: AAC 44,1 kHz 2ch | 5,71 GB | Language: English

The ULTIMATE Guide to Hard Ops and Boxcutter is an in-depth and easy-to-understand series of tutorials showcasing each tool, and WHEN and HOW to use it.

The course is split into 2 parts.

Part 1

Videos are broken down into short and sweet segments, and most are only a couple minutes long. There are 47 total videos showcasing each tool, and after watching these you shouldn't struggle with the tools any longer. We both know the struggle of learning these tools, so we made this course so you don't have to.

Part 2

In Part 2 You will learn how to model a SciFi off roader from scratch, using most of the tools we discussed in the first section.

There is over 10 hours of video content. This course could easily be completed in a day, but we'd recommend you space it out to avoid burn out. These tools are essential to understand.

Homepage

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Fullstack Flask and Python Bootcamp With Real Life Projects

Fullstack Flask and Python Bootcamp With Real Life Projects
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 165 lectures (28h) | Size: 5.61 GB

Learn How To Build an E-commerce app Using Flask, Python, HTML, CSS, SASS, Bootstrap, And JavaScript

What you'll learn:
Learn how web applications work
Learn how Flask Implements web applications
Understand HTML and how to use it to create mark-ups for web pages
Understand CSS and how to use it to style web pages
Understand Sass and how to use it to write styles programmatically
Understand JavaScript and how to use to add interactions to web applications
Understand Python and how to use to build web applications on to of Flask Framework
Learn how to analyse a customer's problem and generate the software requirements for the project
Learn how to structure a large-scale project
Learn how to implement the all the functionalities of a complete eCommerce application which include: Product catalogue, Shopping Cart, Order and Checkout,

Requirements
A computer with internet connection
Visual Studio Development Environment
Visual Studio Code Development Environment


Description
This is a no holds barred, action packed, Full Stack Flask Web Development Course. To demonstrate My Confidence About This Course, I have created a CV that contains all the Concepts that I covered, and the Projects I have executed in this course. You can Take This Course and Start Looking for Job Immediately using the CV I have prepared.

Your prospective employer wants you to come onboard and start building applications for them straight away. That is what I did in this course. To provide the knowledge that will allow you go straight into the industry and start working immediately. With over 160 Lectures that covers Five Crash Courses, and Two Solid Real-World Projects, I did not leave any stone unturned!!

Basically, the whole course can be grouped into Three Main Themes:

Introduction to web Applications

Where I introduced how web applications work and how Flask implements web applications

The Crash Courses

Where I provided short but comprehensive mini courses on HTML, CSS, SASS, JavaScript and Python

Since, the course is a Full Stack (Front End and Back End) development course, the crash courses on HTML, CSS, SASS and JavaScript provide you with the knowledge to work on the Front End, while the Python Crash Course provides you with the knowledge Back End Language

The Real World Projects

Where I built Two SOLID Real-World Projects. The type of Projects that you will be working on when you get into the industry.

Who this course is for
Beginners who do not have a prior experience with programming
Intermediate and Senior developers looking to start working with Python
Developers looking to gain more knowledge within full stack development

Homepage

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SANS - FOR508: Advanced Incident Response, Threat Hunting, and Digital Forensics

SANS - FOR508: Advanced Incident Response, Threat Hunting, and Digital Forensics
Chad Tilbury, Rob Lee | Duration: 14h+ | Video: H264 1280x720 | Audio: AAC 32 kHz mono | 6,42 GB | Language: English

Threat hunting and Incident response tactics and procedures have evolved rapidly over the past several years. Your team can no longer afford to use antiquated incident response and threat hunting techniques that fail to properly identify compromised systems. The key is to constantly look for attacks that get past security systems, and to catch intrusions in progress, rather than after attackers have completed their objectives and done worse damage to the organization. For the incident responder, this process is known as "threat hunting" . FOR508 teaches advanced skills to hunt, identify, counter, and recover from a wide range of threats within enterprise networks, including APT nation-state adversaries, organized crime syndicates, and hactivists.

Homepage

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Deep Learning Complete Guide for Calculus - Machine Learning

Deep Learning Complete Guide for Calculus - Machine Learning
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 48000 Hz
Language: English | VTT | Size: 5.46 GB | Duration: 6h 32m



What you'll learn
Build Mathematical intuition especially Calculus required for Deep learning, Data Science and Machine Learning
The Calculus intuition required to become a Data Scientist / Machine Learning / Deep learning Practitioner
How to take their Data Science / Machine Learning / Deep learning career to the next level
Hacks, tips & tricks for their Data Science / Machine Learning / Deep learning career
Implement Machine Learning / Deep learning Algorithms better
Learn core concept to Implement in Machine Learning / Deep learning

Requirements
Pen and a paper to workout maths problem
Computer with Python to execute the code
Some programming experience

Description
Do you want to be better data Scientist ?

Are you looking for way to stand out in the crowd?

Interested in increasing your Machine Learning, Deep Learning expertise by effectively applying the mathematical skills ?

If the Answer is Yes.

Then, this course is for you.

Calculus for Deep learning

"Mastering Calculus for Deep learning / Machine learning / Data Science / Data Analysis / AI using Python "

With this course,

You start by learning the definition of function and move your way up for fitting the data to the function which is the core for any Machine learning, Deep Learning , Artificial intelligence, Data Science Application.

Once you have mastered the concepts of this course, you will never be blind while applying the algorithm to your data, instead you have the intuition as how each code is working in background.

Whether you are building Self driving cars, or building the recommendation engine for Netflix, or trying to fit the practice data for a function

Your data,

Will have some type of labelled input and , some type of labelled output.

A typical goal would always be fit these data to the function by adjusting the parameters.

Hence in our course,

We start from understanding the basics of functions which you might have touched upon in highschool.

And then,

In further sections, we move along and apply the basics and learn some of the important concepts related to approximation which is the core for any Machine learning, Deep Learning , Artificial intelligence, Data Science model

And, in the last two sections of this course,

We make use of all our learning from previous sections, and train our Neural networks and understand how we apply in Linear Regression models by writing the code from scratch.

We are sure that you will be amazed how well you can perform in your work once you have the intuition of calculus.

This course is carefully designed by experts with student's feedback so that you can have the premium learning experience.

Join now to build confidence in Mathematics part of Machine learning, Deep Learning , Artificial intelligence, Data Science and stay ahead in your career.

See you in the Lesson 1.


Who this course is for:
Data Scientists who wish to improve their career in Data Science.
Deep learning / Machine learning practitioner who wants to take the career to next level
Any one who wants to understand the underpinnings of Maths in Data Science, Machine Learning , Deep Learning and Artificial intelligence
Any Data Science / Machine Learning / Deep learning enthusiast
Any student or professional who wants to start or transition to a career in Data Science / Machine Learning / Deep learning
Students who want to refresh and learn important maths concepts required for Machine Learning , Deep Learning & Data Science.
Any data analysts who want to level up in Machine Learning / Deep learning
Any people who are not satisfied with their job and who want to become a Data Scientist / Deep learning / Machine learning practitioner


Homepage

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Data Structures and Algorithms: In Depth using Java

Data Structures and Algorithms: In Depth using Java
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 225 lectures (28h 49m) | Size: 5.7 GB

Linked List, Stacks, Queues, Binary Trees, Binary Search Trees, Hashing, Heaps, Graphs, Sorting and Searching

What you'll learn:
Understand Complexity of Algorithms ie Time and Space they take at runtime
Learn and compare Algorithms used in Searching and Sorting
Learn different Data Structures and how to use them in applications
Learn how to Code and Implement various data structures and algorithms in Java

Requirements
Some prior programming experience is required in any programming language
Basic knowledge of Java is needed
Software required for this course is open-source and freely available, and we will go through the steps of downloading and installing it.
This course is created on windows, but users on other platforms such as MasOS or Linux can comfortably use the required tools and have the same programing experience


Description
This course will help you in better understanding of the basics of Data Structures and how algorithms are implemented in Java programming language. This course consists of lectures on data structures and algorithms which covers the computer science theory + implementation of data structures in Java. This course will also help students to face interviews confidently at the top technology companies. This course is like having personal tutors to teach you about data structures and algorithms.

There's tons of concepts and content in this course. To begin the course:

We have a discussion of why we need data structures and why we need to learn Algorithms

Then we move on to discuss Analysis of Algorithms ie Time and Space complexity, though the Asymptotic Notation ie Big O, Omega and Theta are taken up at the end of this course so that you do not get confused and concentrate on understanding the concepts of data structures.

We have a programming environment setup to make sure you have all the software you need in order to get the hands-on experience in implementing Data structures and Algorithms in Java.

Then we get to the essence of the course; algorithms and data structures. Each of the specific algorithms and data structures is divided into two sections. Theory lectures and implementation of those concepts in Java. We then move on to learn:

Analysis of Algorithms

Recursion

Searching Algorithms

Sorting Algorithms

Linked List

Stacks

Queues & Deques

Trees, Binary Trees & Binary Search Trees

Balanced Search Trees

Heaps

Hashing

Graphs & Graph Traversal Algorithms (Breadth-First Search & Depth First Search)

Again, each of these sections includes theory lectures covering Data structures & their Abstract Data Types and Algorithms. Plus the implementation of these topics in Java.

Who this course is for
Anyone who wants to learn Data Structures and Algorithms using Java

Homepage

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Data Structures and Algorithms: In Depth using C#

Data Structures and Algorithms: In Depth using C#
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 224 lectures (28h 39m) | Size: 5.52 GB

Linked List, Stacks, Queues, Binary Trees, Binary Search Trees, Hashing, Heaps, Graphs, Sorting and Searching

What you'll learn:
Understand Complexity of Algorithms ie Time and Space they take at runtime
Learn and compare Algorithms used in Searching and Sorting
Learn different Data Structures and how to use them in applications
Learn how to Code and Implement various data structures and algorithms in C#

Requirements
Some prior programming experience is required in any programming language
Basic knowledge of C# is needed


Description
This course will help you in better understanding of the basics of Data Structures and how algorithms are implemented in C# programming language. This course consists of lectures on data structures and algorithms which covers the computer science theory + implementation of data structures in C#. This course will also help students to face interviews confidently at the top technology companies. This course is like having personal tutors to teach you about data structures and algorithms.

There's tons of concepts and content in this course. To begin the course:

We have a discussion of why we need data structures and why we need to learn Algorithms

Then we move on to discuss Analysis of Algorithms ie Time and Space complexity, though the Asymptotic Notation ie Big O, Omega and Theta are taken up at the end of this course so that you do not get confused and concentrate on understanding the concepts of data structures.

Then we get to the essence of the course; algorithms and data structures. Each of the specific algorithms and data structures is divided into two sections. Theory lectures and implementation of those concepts in C#. We then move on to learn:

Analysis of Algorithms

Recursion

Searching Algorithms

Sorting Algorithms

Linked List

Stacks

Queues & Deques

Trees, Binary Trees & Binary Search Trees

Balanced Search Trees

Heaps

Hashing

Graphs & Graph Traversal Algorithms (Breadth-First Search & Depth First Search)

Again, each of these sections includes theory lectures covering Data structures & their Abstract Data Types and Algorithms. Plus the implementation of these topics in C#.

Who this course is for
Anyone who wants to learn Data Structures and Algorithms using C#

Homepage

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Complete Piano Course - From Zero To Piano Master

Complete Piano Course - From Zero To Piano Master
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 12.3 GB
Genre: eLearning Video | Duration: 143 lectures (9 hour, 23 mins) | Language: English

Learn Piano From One Of The Best Classical Pianists In East Europe




What you'll learn

Introduction To Piano Lessons
Learn To Read Sheet Music Lessons
20 Beginner Exercises Lessons
PDF Files For All Exercises Lessons
Learn Your First Classical Piece Lesson
Learn 2 New Piano Pieces
All Major And Minor Scales
​New Chords
Arpeggios And Exercises
Triads And Inversions
Piano Techniques
​PDF Files For All Lessons
Master All Techniques Lessons
Gain Highest Possible Finger Independence Lessons
224 Pages Of Franz Liszt Exercises For Becoming Piano Virtuoso
Masterclass On Difficult Piano Pieces soon.

Requirements

You don't need any prior knowledge or experience
Life Piano Lessons works equally well on Piano or Keyboard
Starting From Complete Zero


Description

In this course we will cover up 15 topics starting from complete beginning, which means you dont need any prior knowledge.

Piano Introducion

How To Read Music?

Mozart - Twinkle Twinkle Little Star

Hanon - Beginner Exercises

Bach - Minuet In G - major

Preparation For Playing Scales

All Major Scales

Harmonic Scales and Exercises For Lighting Fast Scales

Chords

Triads And Exercises

Arppegios And Legendary Exercises

Mozart - Piano Sonata In C - major K. 545

Techniques

Advanced Section

Liszt Legendary Technical Exercises

No matter what level you're at, there is plenty of material to help you progress throughout your studies. If you are already at the advanced level, but are interested in teaching piano, the beginner and intermediate sections can help you become a more effective teacher.


WHO IS THIS COURSE FOR?

For anyone who wants to learn piano from scratch.


Who this course is for:

Kids Who Want To Learn Piano
Piano Students
Anybody Who Wants To Learn To Play Piano

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Tyler Narducci - The Done For You Agency

Tyler Narducci - The Done For You Agency
MP4 | ENG | Video: h264, yuv420p, 1280x720 | Audio: aac, 44100 Hz, 2 channels | Duration: 12h:44m:59s | Size File: 7.86 GB
Genre: eLearning

3 Ready to Install and Customize Agency Lead Funnels To Fill Your Pipeline
​Facebook Ads Training PLUS Ad Copy Examples for the Agency Funnels
1 Ready to Install and Customize CONTRACTOR Funnel To Build Your Team
5 NON-Funnel Agency Lead Methods Including LinkedIn and Email Prospecting
​How to Pick an Agency Niche Training
How to PRICE Yourself Training & Benchmarks
How to BUILD your contractor A-TEAM + Resources ***Marked As Spam***
Agency Sales Training + Phone Sales Scripts


Homepage

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The Complete R Programming for Data Science - 7 courses in 1

The Complete R Programming for Data Science - 7 courses in 1
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 228 lectures (18h 32m) | Size: 6.72 GB

Beginner to Pro: Learn R programming language, R studio, ggplot2, dplyr, statistics, caret, machine learning, projects

What you'll learn:
Learn to program in R Language
Learn to use R Studio
Master statistics for machine learning
Master Vectors, Lists & Dataframes
Create variables and run loops
Perform binding functions & set operations
Create professional plots using GGPlot2
Master statistics for machine learning
Learn to use ML models for business
Solve Industry projects end-to-end
Advanced data manipulation with Data Table
Advanced programming with Dplyr package
Create full featured plots using base graphics
Elegant pipe syntax codes using Magrittr
Learn Data Manipulation verbs
Learn Law of large numbers
Central Limit Theorem & Normal Distribution
Statistical significance tests: t Tests , ANOVA, and more
Master linear & Logistics regression models
Build Statistical models from scratch
Perform post model building diagnostics
Hand computation of statistical tests
Master model insight generation skills
Learn how to present insights to stakeholders

Requirements
No prior knowledge or experience needed - Only passion to learn and succeed!


Description
In The Complete R-Programming for Data Science & Statistics program, we have carefully designed 7 Full-Fledged courses into 1 Master Course of 200+ videos, 50+ R-Packages, Core Machine Learning and statistics concepts, 75+ practice problems and 2 Industrial projects

By end of this course, you will be able to solve Industry Data Science project in R starting including model building, model diagnostics and presenting actionable business insights

Here's how you will progress across the 7 courses in the Master Course:

Getting started with R-programming: First, you will learn to write your own R code and perform basic programming tasks. You will begin with the base R programming course, where you will master the fundamental data structures such as vectors, lists, dataframes , understand the core programming constructs and get enough coding practice. You will also create full featured plots for data analysis using base graphics.

Advanced coding with Tidyverse: Then you will move to advanced coding in R based on the tidyverse using the dplyr package. You will start using the elegant pipe syntax provided by the magrittr package and the data manipulation verbs.

Data.table for data wrangling in R: Then You will move on to master the data.table package which has advanced capabilities for fast data manipulation. Data Scientists love this package for its incredible speed gains. Here, you will do fast data imports, create pivot tables and get comfortable with wrangling data. You will learn techniques to make your R code run super fast.

Ggplot2 Graphics in R: Once you gather the core R programming skills, you start creating professional looking plots using the famous ggplot2 package. You will be able to create any data analysis plot. Be it box plots, scatterplots, dual axis time series plots, because you will not just learn the syntax, but also learn the underlying structure behind it.

Statistical Foundations for Machine Learning: You will gain mastery over the 'statistical foundations for machine learning', which by itself is a full fledged statistics course. You will understand the core statistics concepts such as the law of large numbers, central limit theorem, normal distribution, how statistical significance tests such as the t-Test and ANOVA work and more, by solving multiple use cases of when and how to use them. You will know exactly how they work by following step-by-step hand computations and then implement in R to match the results. All the concepts are completely explained and demonstrated.

Statistical Modeling with Linear Regression and Case Study: After mastering statistics, you will achieve professional-level R skills with linear regression. You will understand:

What sort of industrial problems you can apply them on

Understand the math behind it

You will build the algorithm itself from scratch

Learn how to interpret the results

Perform post model building diagnostics

Learn how to present the model results in a way that is valuable to the business and project stakeholders

7. Logistics Regression for Business and Case Problem: You will understand: Then you learn the logistics regression with the same methodology of application, mathematics, building algorithm, interpreting results, diagnosing models and presenting insights

Professional Level Industry Projects: Finally, to gain and end-to-end professional Data Science project skills, you will solve two Industry projects -

> Predict Customer Purchase Propensity (Banking Domain)

> Predict U.S. Institute performance (Education Sector)

Throughout the program you will get interesting challenges, forum support for your queries and R-DataScience certification for your CV.

Who this course is for
This course is for you if you are starting out on Learning R programming
This course is for you if you are a data science aspirant and want to master data science with R
This course is for you if you are a data scientist and want to add R Datascience skills in your toolkit
This course is for you if you are statistics student or statistician and want to improve your skills in R
This course is for you if you are preparing for jobs and want to master Statistics, ML and R-programming

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Spirituality & Spiritual Healing | Mindfulness Meditation

Spirituality & Spiritual Healing | Mindfulness Meditation
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 8.35 GB
Genre: eLearning Video | Duration: 38 lectures (7 hour, 46 mins) | Language: English

Learn How To Reconnect To Your Higher Self With A Guided Mindfulness Meditation For Spirituality & Spiritual Healing!



What you'll learn

. Spirituality & Spiritual Healing With The Help Of Mindfulness Meditation!
. Reconnect To You Higher Self To Feel Whole, Relaxed, Calm And Happy Again!
. Basic Knowledge That Helps You To Understand The Power Of Meditation Better!
. Experience Mindfulness Meditation With Practical Sessions!

Requirements

no prerequisites


Description

"Mindfulness means being awake. It means knowing what you are doing." - Jon Kabat-Zinn

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Hello and welcome to my new course "Spirituality & Spiritual Healing | Mindfulness Meditation"

Learn How To Reconnect To Your Higher Self With A Guided Mindfulness Meditation For Spirituality & Spiritual Healing!

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ARE YOU INTERESTED TO EXPERIENCE SPIRITUALITY & SPIRITUAL HEALING?

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I am happy to welcome you to this course!

You are interested in the topic of How to meditate with mindfulness for spirituality & spiritual healing you are looking for an easy guideline that is giving you a hands-on solution in terms of mindfulness meditation?

And you would like to be inspired with practical input with the topic "Learn How To Reconnect To Your Higher Self With A Guided Mindfulness Meditation For Spirituality & Spiritual Healing!"

- If that is the case, then THIS COURSE is the right one for you!

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WHAT IS THE BASIC CONCEPT OF THIS COURSE?

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MINDFULNESS MEDITATION can help you to calmly anticipate the inevitable coming and going of thoughts, emotions, sensations.

The simple meaning of Mindfulness is 'remembering to be aware', so it helps us to observe and learn how our mind works. A good way of describing MINDFULNESS MEDITATION is that the deliberate act of paying attention to the present moment, free of the judgement.

This brings you in a mode of relaxation, balance and inner peace.

The positive effects of MINDFULNESS MEDITATION on mental and overall health are well documented and backed up by hundreds of scientific studies.

In the far east the practical value of MINDFULNESS MEDITATION is known for more than 2000 years, as it is taught in the context of Buddhism. As a non-sectarian philosophy MINDFULNESS MEDITATION is open to all people interested - regardless of their religion or background.

- If that is interesting for you, then THIS COURSE is the right one for you!

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IF YOU WANT TO .

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experience SPIRITUALITY, SPIRITUAL HEALING & SPIRITUAL CONNECTION TO YOUR HIGHER SELF!

calm down, relax & balance yourself!

get access to additional relaxation music, nature sounds & guided meditations!

- then THIS COURSE Is the right one for you!

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WHO IS TEACHING YOU?

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The author, Kevin Kockot has a Master of Arts Degree (M.A.) in Prevention & Health Promotion.

He was an online content creator for years in the field of health, healing and relaxation.

He teaches thousands of students on several platforms, including Udemy, Insight Timer and Skillshare.

He worked as an entrepreneur where I give lectures and seminars on topics of prevention and health promotion. For example: He is giving seminars on the topic of relaxation and stress management regularly.

So he was sharing his information to hundreds of people each year on the topics mentioned. Meditation can also be a way to relax, but it is much more!

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WHAT IS THE BASIC IDEA OF THIS COURSE?

_______________________________

Several working hours were going into the preparation of this content, that I made for everyone interested to find out more about "Spirituality & Spiritual Healing | Mindfulness Meditation"!

My goal is to help you living a healthy and self-determined life!

I am convinced that meditation can be a great tool to reach that - that is my motivation!

_______________________________

WHICH TOPICS CAN YOU EXPECT IN THIS COURSE?

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1. INTRODUCTION | Introduction to this course

2. DEFINITION MEDITATION | What is Meditation?

3. DEFINITION MINDFULNESS | What is Mindfulness?

4. SCIENCE | Scientific studies that show the benefits of meditation.

5. EMOTIONS | How to control your emotions with the help of meditation

6. FEELINGS | How to deal with feelings and emotions while meditating

7. THOUGHTS | How to manage your thoughts during meditation

8. GUIDED MEDITATION | SPIRITUALITY, SPIRITUAL HEALING & SPIRITUAL CONNECTION TO YOUR HIGHER SELF

9. ADDITIONAL GUIDED MEDITATIONS | Practical instructions for meditation

10. MEDITATION SOUNDS | Sounds to relax & calm down

11. FAQ | Frequently asked questions about meditation

12. BONUS SECTION | Enter this section if you are curious to find out which present is waiting for you!

_______________________________

WHAT ARE YOU WAITING FOR?

_______________________________

You have nothing to loose! But a lot to learn about "Spirituality & Spiritual Healing | Mindfulness Meditation"!

Enroll now! New insights are waiting for you!

I am happy to meet you in this course! Kevin

_________________________________________

If you have the feeling something is missing - please feel free to contact me on Udemy anytime! I am happy to answer you add lectures based on your recommendations!

- As you are my customer your happiness is my highest goal!

Please also give me feedback for this course!

That helps me as a course creator a lot to improve the course!

Thank you!

See you in the course!

Best regards,

Kevin

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PS: Thanks to Erokia/JordanPowell - Sound Design Freesoundorg/people/Erokia/ (Commons Attribution 3.0)

PSPS: Here a list of scientifically proven benefits of meditation:

"Clinicians should be aware that meditation programs can result in small to moderate reductions of multiple negative dimensions of psychological stress.

- JAMA Intern Med. 2014 Mar;174(3):357-68.

- "Increases in mindfulness were found to mediate the relationships between formal mindfulness practice and improvements in psychological functioning, suggesting that the practice of mindfulness meditation leads to increases in mindfulness, which in turn leads to symptom reduction and improved well-being."

- Jounal of Behavioral Medicine 31(1):23-33

- "These results suggest that mindfulness training may improve attention-related behavioral responses by enhancing functioning of specific subcomponents of attention."

- Cognitive, Affective, & Behauvioral Neuroscience June 2007, Volume 7, Issue 2 pp 109-119

- "Increasing evidence shows that mindfulness meditation, delivered either via MBSR or MBTI, can be successfully used for the treatment of insomnia with good patient acceptance and durable results."

- Curr Opin Pulm Med. 2015 Nov;21(6):547-52.

- "Taken together, these data indicate that meditation engages multiple brain mechanisms that alter the construction of the subjectively available pain experience from afferent information."

- J Neurosci. 2011 Apr 6; 31(14): 5540-5548


Who this course is for:

. People That Want To Understand Spirituality & Spiritual Healing With The Help Of Mindfulness Meditation!
. People That Want To Reconnect To You Higher Self To Feel Whole, Relaxed, Calm And Happy Again!
. People That Want To Dive Into Basic Knowledge That Helps You To Understand The Power Of Meditation Better!
. People That Want To Experience Mindfulness Meditation With Practical Sessions!

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