Englische Tutorials

[Mirana]

Moxie Stock Method - Simpler Trading

Simpler Trading - The Moxie Stock Method | 4.2 GB​

Here's your pinpoint accurate method to achieve faster account gains.
Now it's finally possible to look 'beyond price' to see stock moves before they happen.

What if you could look beyond price and identify big moves in stocks before they happen? Now is your chance to discover how TG achieved 103% account growth with his Moxie Indicator Method in a little over a year. Thanks to his proprietary Moxie Indicator he consistently predicts "pops and drops" in stocks that allow him to book returns of 10% to 200% (often within days).
For the first time, TG is revealing how he catches "Moxie Indicator Stocks" before they take off. Whether you are a beginner or a pro, this step-by-step training is designed to provide everything you need, including TG's breakthrough Moxie Indicator, proven pre-trade checklist, and Moxie Indicator Scans for TOS.
Here's a look at a pair of "pops" in UNG. Moxie confirmed the timing AND direction of the trades.
Moxie Indicator caught this move on both a daily and hourly chart for big gains - 21% and 8%.
These are called "Trampoline Moves" in the Moxie Indicator. and the best part?
These moves are missed by traders even though these trades occur regularly.
Just imagine what those moves could mean if you caught them before they happened in stocks, or even options.
What's the secret to finding 'Moxie Indicator Moves?' TG Watkins, Director of Stocks at Simpler Trading, developed the Moxie Indicator because he wanted to get past struggling to get consistent wins as a trader.
He designed this proprietary system specifically for stocks, but options traders love it, too.
Moxie Indicator is the tool behind TG's 103% account growth - this is the tooI he wouldn't trade a day without. It's the secret weapon behind his ability to pick precise stock trades.
TG gets consistent results by following firm rules with the Moxie Indicator. His simple chart checklist guided him to double his account in 14 months from $67k to $136k and he exploded a smaller $6k account to $20k in even less time.
Besides its ability to pinpoint killer stock trades that follow a strict checklist focusing on account growth, what else makes this tool so unique?
The simple Moxie Indicator checklist helps keep TG OUT of account killing trades.
The Moxie Indicator provides details about the indicator, what it does, and how it could work for you.

In the class you'll learn:
Strict rules and checklist for entering positions
How to play bearish stock setups
How to use triple leveraged ETFs to your "unfair" advantage
How to avoid trades that could tank your account
How to use the Moxie Indicator to read the profit potential of any stock

Homepage:

Download: Englische Tutorials

Screenshots

Link Download
​

Spoiler

Download: Englische Tutorials

Extract files with WinRar 5 or Latest !

 

[PowerUploader]

Englische Tutorials

Download

 

[Srbin]

Learn Python: The Complete Python Automation Course!

Learn Python: The Complete Python Automation Course!
h264, yuv420p, 1280x720 |ENGLISH, 48000 Hz, 2 channels | 5h 41mn | 740 MB

Learn all about Python Automation from Web Scraping and Browser Automation to Excel, Word and GUI Automation

What you'll learn

Gain a complete understanding of Python 3
Write programs that can recognize patterns of text through "regular expressions"
Create, Read and Write to Files on their System
Completely understand how to debug their Python code utilizing assertions and logging
Crawl websites for data and pull information through BeautifulSoup
Automate their web browsers with Selenium and run their own scripts
Programmatically generate, update, and parse Word and Excel documents
Send and Retrieve Emails, Schedule Tasks and understand Threading
Programmatically control the mouse and keyboard to automate human interactions

Requirements

No programming experience is required
Access to a Computer or Laptop
Everything else will be covered in the course!


Description

Do you want to become a programmer? Do you want to learn how to create games, automate your browser, visualize data, and much more?

If you're looking to learn Python for the very first time or need a quick brush-up, this is the course for you!

Python has rapidly become one of the most popular programming languages around the world. Compared to other languages such as Java or C++, Python consistently outranks and outperforms these languages in demand from businesses and job availability. The average Python developer makes over $100,000 - this number is only going to grow in the coming years.

The best part? Python is one of the easiest coding languages to learn right now. It doesn't matter if you have no programming experience or are unfamiliar with the syntax of Python. By the time you finish this course, you'll be an absolute pro at programm

Download: Englische Tutorials

Download: Englische Tutorials

 

[PowerUploader]

Englische Tutorials

Download

 

[Srbin]

DataScience Machine Learning - NLP- Python-R-BigData-PySpark

DataScience_Machine Learning - NLP- Python-R-BigData-PySpark
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 178 lectures (21h 48m) | Size: 10.1 GB

DataScience_Machine Learning - NLP- Python-R-BigData-PySpark

What you'll learn:
DataScience
Machine Learning
NLP
Python-R
BigData
PySpark

Requirements
Not required


Description
Data Scientist is amongst the trendiest jobs, Glassdoor ranked it as the #1 Best Job in America in 2018 for the third year in a row, and it still holds its #1 Best Job position. Python is now the top programming language used in Data Science, with Python and R at 2nd place.

Data Science is a field where data is analyzed with an aim to generate meaningful information. Today, successful data professionals understand that they require much-advanced skills for analyzing large amounts of data. Rather than relying on traditional techniques for data analysis, data mining and programming skills, as well as various tools and algorithms, are used. While there are many languages that can perform this job, Python has become the most preferred among Data Scientists.

Today, the popularity of Python for Data Science is at its peak. Researchers and developers are using it for all sorts of functionality, from cleaning data and Training models to developing advanced AI and Machine Learning software. As per Statista, Python is LinkedIn's most wanted Data Science skill in the United States.

Data Science with R, Python and Spark Training lets you gain expertise in Machine Learning Algorithms like K-Means

Clustering, Decision Trees, Random Forest, and Naive Bayes using R, Python and Spark. Data Science Training

encompasses a conceptual understanding of Statistics, Time Series, Text Mining and an introduction

to Deep Learning. Throughout this Data Science Course, you will implement real-life use-cases on

Media, Healthcare, Social Media, Aviation and HR.

Curriculum

Introduction to Data Science

Learning Objectives - Get an introduction to Data Science in this module and see how Data Science

helps to analyze large and unstructured data with different tools.

Topics:

What is Data Science? What does Data Science involve?

Era of Data Science Business Intelligence vs Data Science

Life cycle of Data Science Tools of Data Science

Introduction to Big Data and Hadoop Introduction to R

Introduction to Spark Introduction to Machine Learning

Statistical Inference

Learning Objectives - In this module, you will learn about different statistical techniques and

terminologies used in data analysis.

Topics:

What is Statistical Inference? Terminologies of Statistics

Measures of Centers Measures of Spread

Probability Normal Distribution

Binary Distribution

Data Extraction, Wrangling and Exploration

Learning Objectives - Discuss the different sources available to extract data, arrange the data in

structured form, analyze the data, and represent the data in a graphical format.

Topics:

Data Analysis Pipeline What is Data Extraction

Types of Data Raw and Processed Data

Data Wrangling Exploratory Data Analysis

Visualization of Data

Introduction to Machine Learning

Learning Objectives - Get an introduction to Machine Learning as part of this module. You will

discuss the various categories of Machine Learning and implement Supervised Learning Algorithms.

Topics:

What is Machine Learning? Machine Learning Use-Cases

Machine Learning Process Flow Machine Learning Categories

Supervised Learning algorithm: Linear

Regression and Logistic Regression

• Define Data Science and its various stages

• Implement Data Science development methodology in business scenarios

• Identify areas of applications of Data Science.

• Understand the fundamental concepts of Python

• Use various Data Structures of Python.

• Perform operations on arrays using NumPy library

• Perform data manipulation using the Pandas library

• Visualize data and obtain insights from data using the Matplotlib and Seaborn library

• Apply Scrapy and Beautiful Soup to scrap data from websites

• Perform end to end Case study on data extraction, manipulation, visualization and analysis using Python

Who this course is for
Beginners
Freshers
Experienced people looking for Career changes

Homepage

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

 

[PowerUploader]

Englische Tutorials

Download

 

[Srbin]

DataScience Machine Learning - NLP- BigData - Spark- PySpark

DataScience_Machine Learning - NLP- BigData - Spark- PySpark
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 104 lectures (15h 37m) | Size: 6.7 GB

DataScience_Machine Learning - NLP- BigData - Spark- PySpark

What you'll learn:
Machine Learning
NLP
BigData
Spark
PySpark

Requirements
Not required


Description
Data Science with Spark(Big Data - Hadoop) Training lets you gain expertise in Machine Learning Algorithms like K-Means

Clustering, Decision Trees, Random Forest, and Naive Bayes using Spark(Big Data - Hadoop). Data Science Training

encompasses a conceptual understanding of Statistics, Time Series, Text Mining and an introduction

to Deep Learning. Throughout this Data Science Course, you will implement real-life use-cases on

Media, Healthcare, Social Media, Aviation and HR.

urriculum

Introduction to Data Science

Learning Objectives - Get an introduction to Data Science in this module and see how Data Science

helps to analyze large and unstructured data with different tools.

Topics:

What is Data Science? What does Data Science involve?

Era of Data Science Business Intelligence vs Data Science

Life cycle of Data Science Tools of Data Science

Introduction to Big Data and Hadoop Introduction to R

Introduction to Spark Introduction to Machine Learning

Statistical Inference

Learning Objectives - In this module, you will learn about different statistical techniques and

terminologies used in data analysis.

Topics:

What is Statistical Inference? Terminologies of Statistics

Measures of Centers Measures of Spread

Probability Normal Distribution

Binary Distribution

Data Extraction, Wrangling and Exploration

Learning Objectives - Discuss the different sources available to extract data, arrange the data in

structured form, analyze the data, and represent the data in a graphical format.

Topics:

Data Analysis Pipeline What is Data Extraction

Types of Data Raw and Processed Data

Data Wrangling Exploratory Data Analysis

Visualization of Data

Introduction to Machine Learning

Learning Objectives - Get an introduction to Machine Learning as part of this module. You will

discuss the various categories of Machine Learning and implement Supervised Learning Algorithms.

Topics:

What is Machine Learning? Machine Learning Use-Cases

Machine Learning Process Flow Machine Learning Categories

Supervised Learning algorithm: Linear

Regression and Logistic Regression

Who this course is for
Beginners
Freshers
Experienced people looking for Career changes

Homepage

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

 

[PowerUploader]

Englische Tutorials

Download

 

[Srbin]

Data Science Machine Learning with R Programming

Data Science_Machine Learning with R Programming
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 110 lectures (15h 7m) | Size: 7.2 GB

Data Science_Machine Learning with R Programming

What you'll learn:
Data Science
Machine Learning
R Programming
Data Science

Requirements
Not required


Description
Data Science with R Training lets you gain expertise in Machine Learning Algorithms like K-Means

Clustering, Decision Trees, Random Forest, and Naive Bayes using R. Data Science Training

encompasses a conceptual understanding of Statistics, Time Series, Text Mining and an introduction

to Deep Learning. Throughout this Data Science Course, you will implement real-life use-cases on

Media, Healthcare, Social Media, Aviation and HR.

Curriculum

Introduction to Data Science

Learning Objectives - Get an introduction to Data Science in this module and see how Data Science

helps to analyze large and unstructured data with different tools.

Topics:

What is Data Science? What does Data Science involve?

Era of Data Science Business Intelligence vs Data Science

Life cycle of Data Science Tools of Data Science

Introduction to Big Data and Hadoop Introduction to R

Introduction to Spark Introduction to Machine Learning

Statistical Inference

Learning Objectives - In this module, you will learn about different statistical techniques and

terminologies used in data analysis.

Topics:

What is Statistical Inference? Terminologies of Statistics

Measures of Centers Measures of Spread

Probability Normal Distribution

Binary Distribution

Data Extraction, Wrangling and Exploration

Learning Objectives - Discuss the different sources available to extract data, arrange the data in

structured form, analyze the data, and represent the data in a graphical format.

Topics:

Data Analysis Pipeline What is Data Extraction

Types of Data Raw and Processed Data

Data Wrangling Exploratory Data Analysis

Visualization of Data

Introduction to Machine Learning

Learning Objectives - Get an introduction to Machine Learning as part of this module. You will

discuss the various categories of Machine Learning and implement Supervised Learning Algorithms.

Topics:

What is Machine Learning? Machine Learning Use-Cases

Machine Learning Process Flow Machine Learning Categories

Supervised Learning algorithm: Linear

Regression and Logistic Regression

Who this course is for
Beginners
Freshers
Experienced people looking for Career changes

Homepage

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

 

[PowerUploader]

Englische Tutorials

Download

 

[Nirvana]

Packt KNIME for Data Science and Data Cleaning-XQZT

Packt KNIME for Data Science and Data Cleaning-XQZT | MKV | 2.32 GiB

2 095 kb/s 1920x1080 | AAC 2 CH eng



NFO:

Download: Englische Tutorials

File List:

Spoiler

Download: Englische Tutorials

File: packt.knime.for.data.science.and.data.cleaning-xqzt-sample.mkv
Size: 15976502 bytes (15.24 MiB), duration: 00:01:01, avg.bitrate: 2095 kb/s
Audio: aac, 48000 Hz, stereo (eng)
Video: h264, yuv420p, 1920x1080, 30.00 fps(r) (eng)

Download: Englische Tutorials

Download ( Size: 2.32 GiB ):
Filehosts: Nitroflare, Rapidgator

3 Link/s

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

3 Link/s

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

 

[PowerUploader]

Englische Tutorials

Download

 

[Srbin]

The OWASP top 10 demystified (Updated 8/2021)

The OWASP top 10 demystified (Updated 8/2021)
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.22 GB | Duration: 10h 3m

A practical guide for ethical hackers, developers and software testers to the 10 most prevalent security defects of 2017

Description


What you'll learn
The top 10 web vulnerabilities of 2017
The OWASP top 10 in an understandable manner
How to ethically check and implement defences against the OWASP top 10

Who am i?

I am The XSS Rat, also known as Wesley. I created infosec tutorials and courses in a unique way. It's my opinion that a teacher should be able to bring knowledge in an inspirational way but also make sure that knowledge is retained. This is a very unique challenge requiring out of the box thinking. My courses never just consist of a video or video + PDF only format. Courses should be interactive and not just boring reads of powerpoint slides.

Who is this course for?

This course is for everyone who needs to work with the OWASP top 10 but found the guide made by OWASP hard to apply or understand like me i have created this course after performing deep research on all the mentioned topics and learning how to apply these techniques. On several topics we will provide hack-a-long video's to make the topics covered visual which allows for a better understanding and it makes it so that you don't need an extreme level of knowledge to get started with this wonderful list.

Even though we have done everything in our power to make this course as beginner friendly, a basic understanding of web applications such HTTP(s) methods such as GET and POST and what is meant by a parameter.

Contents

- A video and PDF covering every topic in the OWASP top 10 as seen from the perspective of testers, developers and managers

- Extra content on several topics where applicable

- Hack along demo video's demonstrating several vulnerability types where applicable


Who this course is for:
Developers who want to learn how bad actors attack their code so they can protect it
Ethical hackers who want to improve their repetoire
Managers who want to gain an understanding of how bad actors attack their application

Homepage

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

 

[PowerUploader]

Englische Tutorials

Download

 

[Srbin]

The Complete Frappe Framework & ERPNext Developer Course

The Complete Frappe Framework & ERPNext Developer Course
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 11.5 GB | Duration: 24h 30m



What you'll learn
Introduction to Frappe Framework and the ERPNext application
Setting up the environment for ERPNext Installation
Installation of Frappe Framework on Ubuntu 20.04
How to create a site on the Frappe Framework
Installing ERPNext application on the site
Exploring the Frappe Field Types
Introduction to the Frappe Desk/Workspace
Creating a custom app on the Frappe Framework
Installing the custom app on your site
Exploring the Frappe DocTypes
Working with Field Dependencies in Frappe
Introduction to Custom Scripts
Using Custom Scripts to make API Calls
Using Custom Scripts to do Arithmetic
Customizing Navigation Menus in Frappe Framework
Sending Emails with Frappe Framework
Working with Server Scripts
Working with schedulers
Introduction to the Frappe Dialog API
Customizing the print format
Working with Server Scripts
Working with Controllers, ORM and SQL in Frappe Framework
Managing your ERPNext instance and custom apps with GitHub
Building custom pages in Frappe Framework
Hooks and DocType manipulation from events
Writing custom APIs within the ERPNext ecosystem
Consuming custom APIs from other software applications
Sending data from ERPNext to other applications with Web Hooks
Using Events to manipulate DocTypes
Integrating a bootstrap theme to the frontend of a web application
Passing Dynamic data to a custom bootstrap theme
Understanding URL Routing on the web app
Implementing content pagination on the custom web app
Understanding and Building web apps in Frappe Framework
Requirements
The Basics of Python Programming
The Basics of JavaScript Programming

Description
Welcome to the complete course on how to Build web apps with Frappe Framework and how to Customize ERPNext to suit your specific requirements.

If you are still on the fence, wondering whether you should learn ERPNext, take my word. Jump off that fence and buy the course! Reason is, the demand for ERPNext developers is growing by the minute! You can simply not go wrong with this thing.

In this course, we assume that you don't have any background with the frappe framework. We will therefore start from the very beginning, with no assumptions made. We will configure the development environment, install all the dependencies, install ERPNext and then finally, I will show you how to break down and put together ERPNext into a software we want in your organization.

I wanted to ensure that I turn all stones in this course, so I created a classroom environment. We will have live sessions where there will be questions and I will attempt to answer all asked questions. I have also written blog-posts with step by step items on topics that I feel need more attention.

In the course, we will explore how you can build web applications with Frappe Framework. We will customize the front-end of the application, install a bootstrap theme and work on it to build a complete and robust web application.

With the demand for ERPNext rising everyday, I have also put significant number of hours into customizing it to suit your requirements. I will also show you the best practices in customizing ERPNext existing DocTypes without causing a conflict with their base code. You will be able to update your ERPNext instance without fear of losing your customization. All am saying is, we are going to learn the best practices here.

The last thing I would like you to note is, you won't get stack on your project. You will join my personal telegram group where you can ask questions on the topics you may be needing help and/or clarifications with.

Hey, there is so much more in the course! Am hopeful the information I already provided is sufficient to help you make the decision to buy the course and jump into the training sessions. I'm looking forward to seeing you inside.


Who this course is for:
Experienced Software Developers looking to become ERPNext Developers
New software developers with no experience in ERPNext and want to learn from zero to advanced levels
ERPNext developers who want to advance their skills and understand every aspect of Frappe Development and ERPNext app

Homepage

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

 

[PowerUploader]

Englische Tutorials

Download

 

[Srbin]

TTC - The Art of Video Storytelling

TTC - The Art of Video Storytelling
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 12 Lessons (5h 5m) | Size: 4.26 GB

Consider the ways humans are hardwired for storytelling and discover how to create films that appeal to your audience, using equipment you may already have. In The Art of Video Storytelling, Mr. Bob Krist, a renowned professional photographer and filmmaker, teaches this informative and insightful 12-lesson course designed to support you through each step of the filmmaking process. Beginning with preparation and equipment, you will see how to use the skills you already have in still photography to manifest excellence in all your filmmaking endeavors.

Homepage

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

 

[PowerUploader]

Englische Tutorials

Download

 

[Srbin]

The 150 Most Important Irregular Verbs in English. Volume 1

The 150 Most Important Irregular Verbs in English. Volume 1
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 42 lectures (5h 53m) | Size: 7.43 GB

Verbs 1-50. An English Course Based on Irregular Verbs

What you'll learn:
50 on demand video lessons in Present, Past and Participle. (7 hours total)
The most common irregular verbs in every day conversation.
50 downloadable mp3 files to listen on the go. (Work in progress)
100 quizes (as part of the video lessons)
Native English Speakers (From the US). Voices: Kristen, Will an Chris.
450 sample sentences (9 per verb)

Requirements
Intermediate and Advanced English Level (Desired, not a must)
Beginners (With subtitles) Work in progress.
Be determined to master the English language


Description
Support available in:

English

Spanish

French

I can't wait to share with you this exciting English course based on Irregular Verbs.

Do you feel unsure about the right conjugation when you try use irregular verbs in every day conversation?

Are you frustrated of having to memorize unending word lists?

Then this course is for you.

It is not a secret that Irregular Verbs are hard to learn. So when Enlglish learners try to use the verbs in a professional situation it is very embarrassing not to use the right conjugation, and your chances to give a good impression to your potential employer are gone.

We understand that. In order to help you we have prepared a pofessional English Course that will help you master once and for all the Irregular Verbs of the English Language.

I´ve put a lot into this course because I know that something more valuable than money is you precious time. Every minute you dedicate to the course will be worthwhile. The time you spend mastering them will have a direct effect on your fluency. You´ll see immediate results!

It will also help you make a positive impression by speaking English the way you are expected to speak.

It will boost your confidence and fluency.

I do not wish to take more of you time. Let´s start learning now!

Who this course is for
English Learners
Beginners, Intermediate and Advance Levels

Homepage

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

 

[PowerUploader]

Englische Tutorials

Download

 

[Srbin]

Selenium WebDriver 4 - New Features in Detail!

Selenium WebDriver 4 - New Features in Detail!
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.5 GB | Duration: 11h 7m

Learn all there is to know about Selenium WebDriver 4 in easy to follow steps. 100+ downloadable code examples!


What you'll learn
All the new key features that are being delivered in Selenium Webdriver 4
Understand each feature with clear and easy to follow examples
Become confident with Selenium Webdriver 4 and learn how to adopt the design changes
Build on your automation testing skillset and to stay up to date with the very latest advancements


Description
What does this course cover?

This courses teaches you everything you need to know about the long anticipated Selenium WebDriver 4 release - which has been years in the making. Learn about all the new features in detail & more.

What topics are included?

Easy to follow project setup and installation

Learn & understand design principles (DriverFactory, Hooks, Properties File...)

Understanding the key features of Selenium Webdriver 4 (including docs)

Browser options

Waits

Handling windows

Relative locators

Actions

Screenshots - (Including Full Page Screenshots)

Chrome developer tools - (Chrome Devtools; Emulate GEO Locations, Capture Network Requests etc)

Selenium grid 4

Docker & Video Recording Capabilities

Selenium IDE & Parallel Test Execution

And more

Why this course?

I have been developing course on Udemy for years and have amassed a following of thousands of students. I know what works in terms of effective teaching and I have used the very best approaches so that you walk away from this course feeling confident on the subject. Careful course design and preparation is key in providing the very best learning experience. The course has also been recorded with professional-quality recording material - to give you the very best learning experience.

Why learn from me?

I am an experienced lead automation test engineer. Automation testing is my day job (feel free to check my LinkedIn), and I have been responsible for implementing and overseeing automation testing for various companies. Having taught various teams and people, I know what works in terms of students getting the most from my mentoring.

Homepage

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

 

[PowerUploader]

Englische Tutorials

Download

 

[Srbin]

Performance Optimization and Risk Management for Trading

Performance Optimization and Risk Management for Trading
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 236 lectures (19h 12m) | Size: 5.84 GB

Generate Income and make a living with Day Trading / Algorithmic Trading. A quantitative & data-driven Python course

What you'll learn:
How to make a living with Trading (and what it requires)
How to optimize the Performance of Trading Strategies
How to manage & control the Risk of Trading Strategies
How to find the optimal degree of Leverage for Margin Trading
How to measure the Performance and Risk of Trading Strategies and Financial Instruments
How to make proper use of Stop Loss (SL) and Take Profit (TP) Orders
Advanced Python Coding (OOP, Pandas, Numpy, Scipy, Matplotlib, Seaborn)
How to optimize Trading Performance with single/multiple Parameter Optimization
How to optimize Trading Performance with Smoothing
How to calculate Risk, Return and the Sharpe Ratio (Mean-Variance Analysis)
How to calculate Downside Risk and the Sortino Ratio
How to calculate Maximum Drawdown, Maximum Drawdown Duration and the Calmar Ratio
How to calculate CAGR, Investment Multiple, compound Returns and more.
How to generate a sustainable income with Trading

Requirements
A desktop computer (Windows, Mac, or Linux) capable of storing and running Anaconda. The course will walk you through installing the necessary free software.
An internet connection capable of streaming HD videos.
Basic Python Coding Skills (Variables, Data Types, Lists, For Loops, Functions) -> This is not a Course for complete Python Beginners.
Basic Coding Skills in Pandas, Numpy and Matplotlib
Basic Knowledge or first practical experiences with Trading/Investing would be great (not mandatory but it helps)
Some high school level math & statistics skills would be great (not mandatory, but it helps)


Description
(How) Can I generate sustainable Income and make a living with Trading? - That is one of the most frequently asked questions in Day Trading / Algorithmic Trading.

This unique course provides the skills, knowledge, and techniques required to (realistically!) answer that question. The course uses rigorous quantitative methods and is 100% data-driven (Python coding required!).

You will learn how to make use of the most powerful trading features and techniques:

Path-dependent Simulation techniques to find a sustainable level of Trading Income

Taking into account Taxation, Inflation and Shortfall Risk

Strategy Backtesting and Forward Testing

Strategy Optimization techniques (One/Many Parameter Optimization, Multi-Period Optimization, Smoothing, and more...)

Finding the optimal Degree of Leverage in Margin Trading (Kelly Criterion and more advanced techniques)

Improving Trading Performance and mange Risk with Stop Loss and Take Profits Orders

and more...

Important: these techniques and skills are highly relevant and must-knows for any Trader and any Trading activity:

for Assets like Forex (Currencies), Cryptocurrencies, Stocks, Indexes, Commodities, and more...

for Strategies based on Technical/Fundamental Analysis, Artificial Intelligence (Machine Learning & Deep Learning), Statistical Arbitrage, and more...

for Trading with Brokers like Interactive Brokers (IBKR), Binance, TD Ameritrade, Oanda, FXCM, and more...

Performance Optimization and Risk Management require... rigorous Performance and Risk Measurement. The course covers the following Metrics and Methods:

Mean-Variance Analysis

Risk-adjusted Return Metrics (e.g. Sharpe Ratio)

Downside Deviation and Sortino Ratio

Tail Risk Metrics

Maximum Drawdown, Maximum Drawdown Duration, and Calmar Ratio

Deep Analysis of Levered Trading and the Kelly Criterion

Compound Annual Growth Rate (CAGR)

Investment Multiple

and many more...

You´ll have the opportunity to practice what you have learned in various Coding Exercises/Challenges (real data and meaningful questions!).

This is not only a course on Performance and Risk Management for Trading. It´s an in-depth coding course on Python and its Data Science Libraries Numpy, Pandas, Matplotlib. You will learn how to use and master these Libraries for (Financial) Data Analysis, Optimization, and Trading.

Please note: This is not a course for complete Python Beginners (check out my other courses!)

What are you waiting for? Join now and start improving your Trading Performance!

As always, there is no risk for you as I offer a 30-Days-Money-Back Guarantee!

Thanks and looking forward to seeing you in the Course!

Who this course is for
Traders who are dissatisfied with their Trading Performance
Those who want to generate sustainable Income with Trading
Traders and Investors who want to professionalize their Business.
Traders who want to improve their work/analysis with powerful Python Coding

Homepage

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

 

[PowerUploader]

Englische Tutorials

Download