• Regeln für den Video-Bereich:

    In den Börsenbereich gehören nur Angebote die bereits den Allgemeinen Regeln entsprechen.

    Einteilung

    - Folgende Formate gehören in die angegeben Bereiche:
    - Filme: Encodierte Filme von BluRay, DVD, R5, TV, Screener sowie Telesyncs im Format DivX, XviD und x264.
    - DVD: Filme im Format DVD5, DVD9 und HD2DVD.
    - HD: Encodierte Filme mit der Auflösung 720p oder darüber von BluRay, DVD, R5, TV, Screener sowie Telesyncs im Format x264.
    - 3D: Encodierte Filme von BluRay, die in einem 3D Format vorliegen. Dies gilt auch für Dokus, Animation usw.
    - Serien: Cartoon/Zeichentrick, Anime, Tutorials, Dokumentationen, Konzerte/Musik, Sonstiges sind demnach in die entsprechenden Bereiche einzuordnen, auch wenn sie beispielsweise im High Definition-Format oder als DVD5/DVD9/HD2DVD vorliegen. Ausnahme 3D.
    - Bereich Englisch: Englische Releases gehören immer in diesen Bereich.
    - Bereich Talk: Der Bereich, in dem über die Releases diskutiert werden kann, darf, soll und erwünscht ist.


    Angebot/Beitrag erstellen

    - Ein Beitrag darf erst dann erstellt werden, wenn der Upload bei mindestens einem OCH komplett ist. Platzhalter sind untersagt.
    - Bei einem Scenerelease hat der Threadtitel ausschließlich aus dem originalen, unveränderten Releasenamen zu bestehen. Es dürfen keine Veränderungen wie z.B. Sterne, kleine Buchstaben o.ä. vorgenommen werden. Ausnahme Serienbörse:
    - Bei einem Sammelthread für eine Staffel entfällt aus dem Releasename natürlich der Name der Folge. Beispiel: Die Simpsons S21 German DVDRip XviD - ITG
    - Dementsprechend sind also u.a. verboten: Erweiterungen wie "Tipp", "empfehlenswert", "only", "reup", usw. / jegliche andere Zusatzinformation oder Ergänzung, welche nicht in obiger Beschreibung zu finden ist.

    Aufbau des Angebots und Threadtitel

    Der Titel nach folgendem Muster erstellt zu werden. <Name> [3D] [Staffel] [German] <Jahr> <Tonspur> [DL] [Auflösung] <Quelle> <Codec> - <Group>
    Beispiel: The Dark Knight German 2008 AC3 DVDRip XviD - iND
    Beispiel: The Dark Knight 2008 DTS DL BDRip x264 - iND
    Beispiel: The Dark Knight 2008 AC3 DL BDRip XviD - iND
    Beispiel: The Dark Knight German 2008 AC3 720p BluRay x264 iND
    Beispiel: The Dark Knight 2008 DTS DL 1080p BluRay x264 iND
    Beispiel: Die Simpsons S01 German AC3 DVDRip XviD iND
    Beispiel: Die Simpsons S20 German AC3 720p BluRay x264 iND
    Beispiel: Sword Art Online II Ger Sub 2014 AAC 1080p WEBRip x264 - peppermint
    Entsprechend sind also u.a. verboten: Sonderzeichen wie Klammern, Sterne, Ausrufezeichen, Unterstriche, Anführungszeichen / Erweiterungen wie "Tipp", "empfehlenswert", "only", "reup", usw. / jegliche andere Zusatzinformation oder Ergänzung, welche nicht in obiger Beschreibung zu finden ist
    Ausnahmen hiervon können in den Bereichen geregelt sein.

    Die Beiträge sollen wie folgt aufgebaut werden:
    Überschrift entspricht dem Threadtitel
    Cover
    kurze Inhaltsbeschreibung
    Format, Größe, Dauer sind gut lesbar für Downloader außerhalb des Spoilers zu vermerken
    Nfo sind immer Anzugeben und selbige immer im Spoiler in Textform.
    Sind keine Nfo vorhanden z.B. Eigenpublikationen, sind im Spoiler folgende Dateiinformationen zusätzlich anzugeben :
    Quelle
    Video (Auflösung und Bitrate)
    Ton (Sprache, Format und Bitrate der einzelnen Spuren)
    Untertitel (sofern vorhanden)
    Hosterangabe in Textform außerhalb eines Spoiler mit allen enthaltenen Hostern.
    Bei SD kann auf diese zusätzlichen Dateiinformationen verzichtet werden.

    Alle benötigten Passwörter sind, sofern vorhanden, in Textform im Angebot anzugeben.
    Spoiler im Spoiler mit Kommentaren :"Schon Bedankt?" sind unerwünscht.


    Releases

    - Sind Retail-Release verfügbar, sind alle anderen Variationen untersagt. Ausnahmen: Alle deutschen Retail-Release sind CUT, in diesem Fall sind dubbed UNCUT-Release zulässig.
    - Im Serien-Bereich gilt speziell: Wenn ein Retail vor Abschluss einer laufenden Staffel erscheint, darf diese Staffel noch zu Ende gebracht werden.62
    - Gleiche Releases sind unbedingt zusammenzufassen. Das bedeutet, es ist zwingend erforderlich, vor dem Erstellen eines Themas per Suchfunktion zu überprüfen, ob bereits ein Beitrag mit demselben Release besteht. Ist dies der Fall, ist der bereits vorhandene Beitrag zu verwenden.
    - P2P und Scene Releases dürfen nicht verändert oder gar unter einem iND Tag eingestellt werden.


    Support, Diskussionen und Suche

    - Supportanfragen sind entweder per PN oder im Bereich Talk zu stellen.
    - Diskussionen und Bewertungen sind im Talk Bereich zu führen. Fragen an die Uploader haben ausschließlich via PN zu erfolgen, und sind in den Angeboten untersagt.
    - Anfragen zu Upload-Wünschen sind nur im Bereich Suche Video erlaubt. Antworten dürfen nur auf Angebote von MyBoerse.bz verlinkt werden.


    Verbote

    - Untersagt sind mehrere Formate in einem einzigen Angebotsthread, wie beispielsweise das gleichzeitige Anbieten von DivX/XviD, 720p und 1080p in einem Thread. Pro Format, Release und Auflösung ist ein eigener Thread zu eröffnen.
    - Grundsätzlich ebenso verboten sind Dupes. Uploader haben sich an geeigneter Stelle darüber zu informieren, ob es sich bei einem Release um ein Dupe handelt.
    - Gefakte, nur teilweise lauffähige oder unvollständige Angebote sind untersagt. Dies gilt auch für eigene Publikationen, die augenscheinlich nicht selbst von z.B. einer DVD gerippt wurden. Laufende Serien, bei denen noch nicht alle Folgen verfügbar sind, dürfen erstellt und regelmäßig geupdatet werden.
    - Untersagt sind Angebote, welche nur und ausschließlich in einer anderen Sprache als deutsch oder englisch vorliegen. Ausnahmen sind VORHER mit den Moderatoren zu klären.


    Verstoß gegen die Regeln

    - Angebote oder Beiträge, die gegen die Forenregeln verstoßen, sind über den "Melden"-Button im Beitrag zu melden.
  • Bitte registriere dich zunächst um Beiträge zu verfassen und externe Links aufzurufen.




Englische Tutorials

kZWLx7sez5PC26dqHvfiES72JBCYVPxi.jpg

Microservices Masterclass with Spring Boot and Spring Cloud
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.10 GB | Duration: 6h 43m
Industry is migrating towards Cloud and DevOps, and Microservices are integral part of the ecosystem.​

Industry is migrating towards Cloud and DevOps, and Microservices are integral part of the ecosystem.This course will give you all the knowledge you need in Microservices, so that you can start working on real time projects.
Screenshots








 
Fh7lirbMoPbtE0ZaWLVYyFqk6zEuirSm.jpg

Python beginners course - Learn programming basics better!
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 386 MB | Duration: 2h 44m
Learn data types, variables, if, else, lists, loops, functions and modules with the help of many practical examples​

What you'll learn
Install Python, a code editor and how to execute programs
Programming fundamentals like datatypes, variables, lists and loops
Expressions, Selections (if/else), Functions
Structure code with modules, working with files and handle errors
Requirements
You have an interest in learning how to program.
Description
My name is Loek van den Ouweland, a senior software engineer with 25 years of experience. I am the creator of Wunderlist for windows, Microsoft To-do and Mahjong for Windows and I love to teach programming!
The feedback I get from my students is that this Python programming for beginners course is well structured with lot's of examples that take you from creating your first line of code to writing small programs like todo-lists.
After this training you have learned programming fundamentals like data types, variables, lists, loops, conditions and functions. You know what Python is and how to use its libraries. You have learned how to organise your code with modules.
This course is for beginning programmers who want to learn how to code. You need no prior programming experience as you will learn all the essential language fundamentals here.
The training uses many practical examples that show you how to perform common tasks. But learning HOW to do things is not enough. In this course, you learn coding by learning WHY you do things a certain way. Each example starts with a blank document so you can follow each step in the programming process.
How does this sound to you? Would you like to benefit from this as well? Then watch a few free chapters from the training and see if you like the style of the course.
---
Python für Anfänger - Lerne Programmier-Grundlagen in Python
Nach diesem Training hast du fundamentale Grundlagen in der Programmiersprache Python gelernt. Dazu gehören unter anderem Data-Typen, Variablen, Listen, Loops (Schleifen), Bedingungen und Funktionen. Du lernst, was Python ist und wie du in dieser Programmiersprache mit Bibliotheken umgehen kannst. Auch lernst du die ersten Schritte beim Organisieren deines Codes in Modulen.
Dieser Kurs ist für Programmier-Anfänger gemacht, die bei Null anfangen. Du braucht absolut keine Erfahrungen, nur Motivation, um in diese Welt einzutauchen.
Dieses Training nutzt viele praktische Beispiele und Übungen, die dir zeigen sollen, wie Python arbeitet und wie du es für deine Zwecke nutzen kannst. Denn es genügt nicht nur zu wissen, WIE man Code schreibt, du solltest auch begreifen, WARUM du deinen Code auf eine bestimmte Art und Weise schreibst. Die Übungen beginnen immer mit einer leeren Seite und gemeinsam wird jedes Projekt bis zum Ziel aufgebaut.
Who this course is for
Beginner programmers interested in learning how to program
Screenshots




 
drIdRaQYDWqfKHD8BX7t7RjI5DQBYMRw.jpg

Snowflake - Build & Architect Data pipelines using AWS
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.71 GB | Duration: 7h 34m
Data engineering and architecting pipelines using snowflake & AWS cloud
What you'll learn​

Snowflake as a data-warehouse along with other important features
Build Automated Pipelines with Snowflake
Use AWS Cloud with Snowflake as a data-warehouse
Integrating real time streaming data and data orchestration with Airflow and Snowflake
Requirements
Prior programming experience in Sql and python is a must .
Prior basic experience or understanding of cloud services like AWS is important
Description
Snowflake is the next big thing and it is becoming a full blown data eco-system . With the level of scalability & efficiency in handling massive volumes of data and also with a number of new concepts in it ,this is the right time to wrap your head around Snowflake and have it in your toolkit . This course not only covers the core features of Snowflake but also teaches you how to deploy python/pyspark jobs in AWS Glue and Airflow that communicate with Snowflake , which is one of the most important aspects of building pipelines .
Anyone who has a basic understanding of cloud and belong to one of the below backgrounds can benefit from this course
- Data Scientists / Analysts
- Data Engineers / Software Developers
- SQL Programmers or DBA's
- Aspiring Data analysts and scientists who are learning SQL and Python
This Course covers :
What is Snowflake
Most Crucial Aspects of Snowflake in a very practical manner
Writing Python/Spark Jobs in AWS Glue Jobs for data transformation
Real Time Streaming using Kafka and Snowflake
Interacting with External Functions & use cases
Security Features in Snowflake
Prerequisites for this course are :
Knowing SQL or at least some prior knowledge in writing queries
Scripting in Python (or any language )
Willingness to explore ,learn and put in the extra effort to succeed
An active AWS Account & know-how of basic cloud fundamentals
Important Note - You need to have an active AWS Account in order to perform the sections related to Python and PySpark . For the rest of the course , a free trial snowflake account should suffice .
Some Tips :
Try to watch the videos at 1.2X speed
Read the reference links and the official documentation of Snowflake as much as possible
Who this course is for
software engineers,aspiring data engineers or data analyst & data scientists
Also good for programmers and database administrators with experience in writing SQL queries
Screenshots








 
05b89595-82a0-4960-ab02-1c003230c7d4.png

AI-900: Microsoft Azure AI Fundamentals Video Course + Ques
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.84 GB | Duration: 9h 4m​

AI-900 Exam: Microsoft Azure AI Fundamentals || 8+ hours of videos || 100% Syllabus || 2 Practice Tests || PPTs || Demos
What you'll learn
Foundational knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services.
Common ML and AI workloads and how to implement them on Azure.
AI workloads and considerations: AI-900 Exam
Principles of machine learning on Azure: AI-900 Exam
Computer vision workloads on Azure: AI-900 Exam
Natural Language Processing (NLP) workloads on Azure: AI-900 Exam
Conversational AI workloads on Azure: AI-900 Exam
Requirements
No prerequisite for this course
Candidates with both technical and non-technical backgrounds can attend this course
Description
Should you take AI-900 Exam?
Artificial intelligence and machine learning are all set to dictate the future of technology. The focus of Microsoft Azure on machine-learning innovation is one of the prominent reasons for the rising popularity of Azure AI. Therefore, many aspiring candidates are looking for credible approaches for the AI-900 exam preparation that is a viable instrument for candidates to start their careers in Azure AI.
The interesting fact about the AI-900 certification is that it is a fundamental-level certification exam. Therefore, candidates from technical as well as ones with non-technical backgrounds can pursue the AI-900 certification exam. In addition, there is no requirement for software engineering or data science experience for the AI-900 certification exam.
The AI-900 certification can also help you build the foundation for Azure AI Engineer Associate or Azure Data Scientist Associate certifications.
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
What includes in this course?
8+ hrs. of content, Practice test, quizzes, etc.
PPT, Demo resources, and other study material
Full lifetime access
Certificate of course completion
30-days Money-Back Guarantee
This course has more than enough practice questions to get you to prepare for the exam.
Even though there are no labs in the exam, I have practically demonstrated concepts wherever possible to make sure you feel confident with concepts.
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Exam Format and Information
Exam Name Exam AI-900: Microsoft Azure AI Fundamentals
Exam Duration 60 Minutes
Exam Type Multiple Choice Examination
Number of Questions 40 - 60 Questions
Exam Fee $99
Eligibility/Pre-requisite None
Exam validity 1 year
Exam Languages English, Japanese, Korean, and Simplified Chinese
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The AI-900 exam covers the following topics
Describe AI workloads and considerations (15-20%)
Describe fundamental principles of machine learning on Azure (30-35%)
Describe features of computer vision workloads on Azure (15-20%)
Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)
Describe features of conversational AI workloads on Azure (15-20%)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Exam Topics in detail
Domain 1: Describing AI workloads and considerations
The subtopics in this domain include,
Identification of features in common AI workloads
Identification of guiding principles for responsible AI
Domain 2: Describing fundamental principles of machine learning on Azure
The subtopics in this domain include,
Identification of common machine learning variants
Description of core machine learning concepts
Identification of core risks in the creation of a machine learning solution
Description of capabilities of no-code machine learning with Azure Machine Learning
Domain 3: Description of features in computer vision workloads on Azure
The subtopics in this domain include,
Identification of common types of computer vision solutions
Identification of Azure tools and services for computer vision tasks
Domain 4: Describing features of Natural Language Processing (NLP) workloads on Azure
The subtopics in this domain are as follows,
Identification of features in common NLP workload scenarios
Identifying Azure tools and services for NLP workloads
Domain 5: Description of features of conversational AI workloads on Azure
The subtopics in this domain include,
Identification of common use cases for conversational AI
Identifying Azure services for conversational AI
Happy Learning!!
Eshant Garg
Who this course is for
Those who are looking to give AI-900 Exam: Microsoft Azure AI Fundamentals
Those who are interested in learning basics of Artificial Intelligence or Machine Learning
Screenshots








 
284d9cca-b7a4-418a-a292-e99c5284f45a.png

Building a Branded Local Community
LinkedIn Learning
Duration: 1h 37m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 1.15 GB
Genre: eLearning | Language: English​

Building communities and connections is inherent in human nature. From the time of tribal gatherings to social clubs and now through online groups, group interactions introduce us to new ideas, new people, and provide a sense of belonging. In this course, Anna McAfee explains that while the desire for community is a basic human trait, building communities takes effort, planning, and participation. Anna illustrates how to build local, chapter-based communities through her method called CAPES: Choose your cause; Activate a network of people; Play (develop rituals around gatherings); Engage your network and community in the short and long term; Scaling the community through partnerships and leadership development. Whatever your idea, from a local support group to a business initiative, the CAPES model can help you start, build, and maintain your community. So, if you're looking to start building a community in your local area but aren't sure where to start, join Anna in this course.
Homepage
Screenshots






 
47d74b31-8cdb-4355-a515-a7d3027fa741.png

Building an ISO 27001-Compliant Cybersecurity Program: The Annex A Controls
LinkedIn Learning
Duration: 2h 15m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 1.13 GB
Genre: eLearning | Language: English​

The Annex A controls in the ISO 27001 standard are used by organizations around the world to improve their information security programs and demonstrate good security practices to others. In this second part of his two-part ISO 27001 course, instructor Marc Menninger provides a comprehensive overview of all 114 security controls in Annex A of the ISO 27001 standard. You can use this knowledge to build a better security program and prepare for compliance with the ISO 27001 standard. This course includes handy documents with recommended ways to demonstrate compliance with ISO 27001, providing you with tools you need to get started on implementing the controls to build an ISO 27001-compliant cybersecurity program.
Note: It is recommended that you start with part one, Building an ISO 27001-Compliant Cybersecurity Program: Getting Started, which includes background information and compliance requirements you need to know if you're serious about building an ISO 27,001-compliant cybersecurity program.
Homepage
Screenshots






 
e0c7064c-913d-45c0-86fe-37c45f8c523e.png

DP-203: Data Engineering on Microsoft Azure + Practice Tests
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.63 GB | Duration: 24h 14m​

Exam DP-203: Data Engineering on Microsoft Azure || 25+ hrs of videos || Practice Tests || 100% Syllabus || Demos
What you'll learn
Prepare to pass the Microsoft exam DP-203: Data Engineering on Microsoft Azure
Azure Storage (Blob Storage) (DP-203 Syllabus)
Azure Cosmos DB (DP-203 Syllabus)
Azure Data Lake (DP-203 Syllabus)
Azure SQL Database (DP-203 Syllabus)
Azure SQL Datawarehouse, Synapse (DP-200203 Syllabus)
Azure Data Factory (DP-203 Syllabus)
Azure Databricks (DP-203 Syllabus)
Azure Analytics Services (DP-203 Syllabus)
Azure Monitoring Service (DP-203 Syllabus)
Requirements
Basic Database Concepts
Enthusiasm and determination to clear DP-203 Exam
Description
This course is designed to help you and your team develop the skills necessary to pass the Microsoft Azure DP-203 certification exam.
DP-203 is intended for Azure data engineers. This exam is all about implementation and configuration, so you need to know how to create, manage, use, and configure data services in the Azure portal.
Why one should take DP-203 certification?
According to the 2019 dice dot com report, there was an 88 percent year over year growth in the job postings for data engineers which was the highest growth rate among all the technological jobs.
According to a recent study by pearsonvue, after taking the certification, 65% of people say they feel more confident in their current job. And 35% of people say that their salary has increased.
Highlights of course
Course is completely up-to-date with the latest syllabus released by Microsoft for DP-203
Course covers 100% exam syllabus
Course include
25+ hrs of content
2 practice test
Quiz - specially designed to clear concepts of objectives.
Further study material
PPT and Demo resources
Course includes
Full lifetime access with all future updates
30-Day Money-Back Guarantee
Certificate of course completion
Intended Audience
Anyone who wants to prepare for DP-203 exam
Anyone who wants to become an Azure Data Engineer
Microsoft Azure Data Engineers
Microsoft Azure Data Scientist
Database and BI developers
Database Administrators
Data Analyst or similar profiles
On-Premises Database related profiles who want to learn how to implement these technologies in Azure Cloud.
Anyone who wants to become an Azure Data Engineer
Prerequisites
Basic Database concepts
Language
English
Please make sure you are comfortable in English, captions are not good enough to understand the course.
Technologies covered in DP-203 certification
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Implement non-relational data stores
Non-relational data stores (Blob Storage)
Cosmos DB
Implement relational data stores
Azure SQL Server
Azure Synapse Analytics Service
Manage data security
Data masking
Data Encryption
Develop batch processing solutions
Azure Data Factory
Azure Databricks
Develop streaming solutions
Azure Streaming Service
Monitor data storage
Monitoring for Azure Blob Storage
Monitoring for Azure Data Lake
Monitoring for Azure SQL Database
Monitoring for Azure Synapse Analytics
Monitoring for Azure Cosmos DB
Azure Monitoring Service
Monitor data processing
Monitoring for Azure Data Factory
Monitoring for Azure Databricks
Monitoring for Azure Stream Analytics
Optimize Azure data solutions
Optimize Azure Data Lake
Optimize Azure Stream Analytics
Optimize Azure Synapse Analytics
Optimize Azure SQL Database
Some students Feedback
One of the most amazing courses i have ever taken on Udemy. Please don't hesitate to take this course. The instructor is really professional and has a great experience about the subject of the course. - Khadija Badary
Very nicely explained most of the concepts. a must have course for beginners - Manoranjan Swain
I appreciate this course explaining everything in great detail for a beginner. This will assist me in overcoming challenges at my work - Benjamin Curtis
Good course for Beginners. Labs are really helpful to grasp the concept. Thank you - Sapna
Who this course is for
Anyone who wants to clear DP-203 certification
Anyone who wants to become Azure Data Engineer
Database Developer
Database Administrators (DBA)
Business Intelligence (BI) Developers
Data Engineers
Data Scientist
Data Analyst or similar profiles
Other on-premises Database related profiles who want to learn how to implement these technologies in Azure Cloud.
Screenshots













 
945d1510-8047-496d-81f9-924fd0d11633.png

Data Engineering for Electrical Energy Systems
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.01 GB | Duration: 9h 3m
Data analysis (Python) for Electricity : Economics, Investments, Big Data (Click and Read below for discount codes)

What you'll learn
Learn how to perform Data Engineering across ALL possible Energy Datasets
Learn the skills that will be required for the Green Energy Revolution, which is all about Data Science
Learn how to Implement Big Data methodologies for Energy Datasets
Learn how to apply Data Analysis for Energy Investments
Apply Data Analysis on Energy Storage, Electricity Generation and Demand
Requirements
We go through EVERY Python command, IN-DETAIL, Step by Step ! So you can start even with ZERO knowledge / experience in programming.
Description
The energy system is undergoing a transition, from fossil-fuels to renewable sources of energy.
This transition brings Data Science at the forefront, because renewable sources of energy are unpredictable, are installed massively across entire countries and lead to unprecedented new designs for the energy system.
Renewables have led to the development of new technologies that aim to facilitate the connection of renewables to the energy system.
Overall, the energy system is undergoing a fundamental , a radical transition, that has never been witnessed before.
Data Science is becoming an integral part of the new energy system that arises, because of the growing need for analysing the massive amount of data that arise. In this course we dive deep into key applications of data science to electricity systems.
Every video goes slowly and explains in-depth, every line of code that is used, in detail and with many examples. So , you will have no questions at all in the end of every video; you will not need to spend time trying to understand the code by yourself, because everything will have been explained clearly.
This course begins by applying data analysis to Electricity Demand datasets. We look at electricity profiles, of various frequencies. and we analyse them in depth.
Since datasets may come at different granularities (frequencies) we focus on transitioning from one set of granularity to another. This is fundamental because measurements from different locations may differ in terms of frequency, and a proper comparison of datasets would first involve bringing the datasets to a form where they will have the same granularity.
We then analyse datasets for energy storage; Energy Storage (e.g. batteries) are fundamental for the new energy system. They allow charging and discharging with electricity and as their costs are reducing they are gaining more and more presence in electricity systems, globally. Therefore, we look at Energy Storage datasets in detail.
We also look at datasets for electricity generation. From the calculation of patterns of generation, to the evaluation of the total installed capacity among others.
In addition, we present a Big Data Methodology; both in Excel and Python. When dealing with Big Data (i.e. very large datasets) it is important to be able to reduce the datasets sufficiently enough so that the key information is retained as much as possible. When reducing a large dataset, there is always a concern that the resulting, smaller, dataset will be radically different, which would mean that fundamental information will have been lost. The presented methodology ensures that when moving from a large dataset to a smaller one, the fundamental information is retained. Such methodology is being presented for an electricity dataset.
We also show how to present big data using Pivot Tables and Summary tables, using Python. This is an essential skill because Pivot Tables, can help with the understanding, presentation and interpretation of key aspects of datasets, in a very concise way.
Furthermore, we look into energy investment analysis, using Python. We identify mutually exclusive investments, we filter them and come up with a reduced investment set , so that the candidate investments are more easy to compare. This process facilitates and expedites the investment decision making process on energy projects.
In addition, we show how to update existing datasets, This happens very frequently, because in the process of conducting an energy study , key pieces of information may change and therefore, quick changes in the datasets need to be made.
Finally, we analyse electricity demand curves , such as the residual load duration curve , and interpret them in depth.
This is a MUST course for all those interested in understanding data science for electricity.
Who this course is for
Entrepreneurs
PhD students
Finance professionals working with Energy Datasets
Data Scientists / Analysts / Engineers working in the energy field
Software Engineers
Anyone interested to gain the Absolutely Necessary skills for getting a job in the field of Energy (energy transition, sustainability, climate change etc)
Screenshots













 
71f9ded7-fc4a-4ea7-a3f8-ca273df71249.png

Financial Modelling for Mining Companies - Novice to Expert
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.33 GB | Duration: 6h 11m​

Build and analyze mining financial models for project finance, corporate finance, or private equity.
What you'll learn
How to Structure financial models to tell a complete story of a business from input cost to net profit or retained cash
Demonstrate knowledge of, and analyze the main drivers of costs and profitability for a company
Construct a process flow diagram from input, to production, to sale, and analyze each step of the process flow in terms of its impact on profitability
How to construct a summary sheet, which illustrates all the key information and features of a business
Perform stress testing and downside analysis on models via goal seek and data tables
Construct waterfall diagrams assessing the impact of various factors on the profitability of a company
Excel techniques for data clean up, financial calculations and data summary
Construct key graphs which display multiple pieces of information clearly and coherently
Understand the difference between analysing accounting statements vs a cashflow model from a banker's perspective
Drilling deep into a business' cost and revenue structure to uncover bottlenecks or weak spots
Determining the optimal capital structure of a company using the Weighted Average Cost of Capital (WACC) and gearing ratios
How to use a Discounted Cash Flow (DCF) model to value an investment or company
Calculating the Enterprise Value and Equity Value of a company/project using perpetual growth vs EBITDA multiple
Calculating debt capacity and sculpting debt repayments for a project or company
Gearing and financial covenant ratios
Requirements
Basic knowledge of Microsoft Excel
Description
Financial modelling is the most important analysis tool in a company's decision-making arsenal. This course is specifically designed to provide dealmakers, analysts and other financing professionals with the tools they would require in order to analyze any mining financial model, and prepare powerful summarization outputs upon which decisions would be made.
This course is ideal for fast-tracking industry professionals in their career path - teaching them to analyze existing client models and also create their own models for various applications. The material is well suited to middle-office and front-office professionals, teaching them to assess the risks of funding mining opportunities.
This course blends theoretical principles with real industry insights. Its bottom-up nature is designed to provide a holistic journey, from the initial construction of a model, to the final financial assessment in order to be able to make an investment decision (whether debt or equity related). This would allow participants to deeply analyze potential funding opportunities, structure tailor-made financing packages, and produce comprehensive and concise outputs which summarize bulky raw data.
By the end of the course you will be able to effectively construct a financial model that describes the process flow of your mining business, from raw material extraction, all the way until net profit after tax. You will learn how to itemize all cost and revenue drivers, model tax, working capital, and debt funding.
The concepts taught are based on years of investment banking experience, and billions of dollars worth of project financing deals in multiple jurisdictions.
Students would need to download the ABC Mining Financial Model (provided for free) in order to participate in the course.
I look forward to engaging with you as the course progresses!
Perry Fisher
Who this course is for
Analysts and investors wishing to obtain a deeper appreciation for project financing concepts, with particular attention to mining and minerals;
Beginner investment bankers looking to accelerate their growth in the field of investment banking project finance;
Employees of mining companies wishing to broaden their knowledge of raising debt funding for their companies;
Mining professionals with chemical or engineering training, wishing to expand their knowledge into the disciplines of raising funding and debt finance in particular;
Screenshots















 
c9b3dc51-fe82-4789-a845-7449ef6b18e2.png

Learning Experience Improvement Bundle
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 85 lectures (5h 42m) | Size: 7.2 GB

If learning was never easy for you, now it will be.
What you'll learn
You'll be amazed at how easy it is to learn something after thoroughly going through every course in this bundle.
You will learn how to speed read any material life throws at you.
Not only you will learn how to memorize it, but the exact ways of learning, making your life much easier.
Learn anything at least 2-3 times quicker
Requirements
No previous knowledge needed, you will get everything you'll need.
Description
Hey! We both know that you are here because you want to learn a useful skill or be better at something you already know. Learning one new skill is amazing, but how about five?
Yep, all those skills can be yours in a blink of an eye, bulked up in a lovely bundle. All the courses are interconnected, one skill leads to better use of another. What courses are we talking about exactly?
Speed Reading
Speed Reading - is something that certain people deem impossible. But guess what: it isn't. Learning to read «really fast» isn't a hoax, but a useful skill that you can exploit either in your studies, work, or leisure time. Imagine being able to get through all that boring information you need for your studies in less than an hour?
Memory
With these memory techniques, you won't need to struggle much with 'remembering' things. You will get a lot of practical content to improve your memory, so let's learn how not to forget!
Learning Strategies
Learning can come quite difficult, either if you're learning for school, or learning a useful skill. You've already got Speed Reading and Memory on your side, so why not back it up with some Learning Strategies, to ensure that you'll get everything you need to study what you desire most! You don't have to worry about 'backing it up' yourself, we already did it for you in this five-course bundle!
Neuroplasticity
When all of the courses above are amazingly helpful, how about something that teaches your brain to work faster? Did you know that our brain is capable of holding up to 3 million years of information? Now you do. We just have to unveil some of that potential, just use the tips and techniques described in the course and you'll get there.
Career Coaching
Career Coaching comes as a bonus course in this bundle, but it doesn't mean it's not as useful as all the courses above. You will have to choose or change your career, at a point in your life. If you got lost in your decisions, or just want to change the pace of life, Career Coaching is the way to go. With all the techniques, patterns, and useful information you got from all the courses in this bundle, you are sure to find yourself an amazing job, or help others to find their dream jobs!
Who this course is for
Individuals looking for personal development,
Students (mostly freshmen),
For a people who are ready to change their lifestyle and make it better.
Homepage


















 
bc3b9b58-2535-4964-bf8e-d408f02b3689.png

Options Trading Basics (3-Course Bundle)
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.08 GB | Duration: 11h 14m​

A bundle combines 1)Intro to Call and Put Options 2) Time decay, Implied Volatility, Greeks 3) Call and Puts Live trades
What you'll learn
Master the basic nuts and bolts of Options trading
Understand the theory and mathematics behind Options
What are the factors that affect Options pricing
How are Options different than Stocks
How you can use Options even if you invest in Stocks and create superior Combo strategies
Anyone interested in learning about Options trading
LIve trades using Thinkorswim platform
Art of adjusting Single Options strategies
Requirements
Some knowledge and experience with stock markets and trading or investing
Description
THREE COURSE BUNDLE - 10+ HOURS
The first 3 Options Trading Strategies courses are combined to create this bundle. To master the basics of Options, you really need all three courses.
A brief synopsis of the options trading strategies courses are provided below.
LEARN CALL OPTIONS AND PUT OPTIONS, OPTIONS FOUNDATION - TIME DECAY, IMPLIED VOLATILITY, OPTION GREEKS BUYING CALL OPTIONS AND PUT OPTIONS - LIVE TRADES
SECTION I - Call Options
Most people learning Options for the first time face too much jargon and complex language. This options trading strategies course use real-world examples (buying a house) to explain how a Call Option (Section 1) works in real life. This example should make it absolutely clear what a Call Option is in step-by-step details.
SECTION II - Put Options.
The Put Option is the ultimate "protector" of your portfolio, and in this course you can learn how Put Options work. It is the exact opposite of a Call Option. Put Options increase in value when the value of a stock or index drops in price. We define what a Put Option, and just like we did in the Call Option, we consider a real-world example of a Put Option.
SECTION III - Stock and Options combo strategies
In this section, three creative strategies are outlined for Stock investors to combine Options into their portfolio strategies.
· Use Options to buy Stock at prices that are far lower than what the stock is currently trading for
· Use Options to sell Stock at prices that are far higher than what it is currently trading for
· Use Options to hedge a Stock position that you already own
SECTION IV - TIME DECAY
Time decay is a pivotal component of Options strategies. In fact, time decay alone is responsible for the majority of advanced option strategies. In this part of the options trading strategies course, we are going to study the concept in detail. Options are "wasting" assets, and they lose value every day. The buyer gets hurt from time decay and the seller benefits from it. And time decay becomes more exponential as we approach expiry of an Option. It is also the great equalizer between the profiles of a buyer and seller of Options. Time decay is the great equalizer in the risk / reward profiles of buyers and sellers of Options. Several intermediate and advanced strategies are based on selling premium (option sellers) and these positions make a profit due to time decay in the value of these options over a period of time.
SECTION V - IMPLIED VOLATILITY
Implied Volatility is the "wildcard" in Option prices. Ignore it, and you will pay a price. In fact, it's so important we have at least four different varieties - Volatility, Implied Volatility, Historical Volatility, and Future or Expected Volatility. We use the real-world examples to explain the concept of Volatility in simple terms. Then we study how Volatility is quantified in Stocks and Options. And how Volatility finds a back-door to embed itself into Option prices. Implied Volatility considerations are critical when choosing between a buyer and seller profile. We break this complex topic down into simple terms and show you an example of NFLX and CAT options that should make it absolutely clear what this is all about.
SECTION VI - OPTION GREEKS, DELTA, GAMMA, VEGA, THETA
If you're the pilot of an aircraft, the Greeks are your instrument panel. If you don't manage your instrument panel properly, well...you get the picture. Understanding the Greeks are absolutely critical to every Option position. We break this course into easy to understand chapters for all the four Greeks - Delta, the king of all Greeks. Gamma - the silent operator. Theta - every Option seller's dream. And Vega - Watch out for this one.. Most beginners to Options tend to ignore the Greeks. Master the Greeks and you'll shave off months of learning curve. Not to mention, you can then fly your aircraft on "auto-pilot" (with help from the Greeks).
SECTION VII - OPTIONS MARKET STRUCTURE
The Options market has a number of terms that we need to be aware of. Starting with terminology differences like "Long" and "Short", we look at all the details that go into the Options market. We explain the important processes like Exercise and Assignment, as well as things like Expiry series, Bid-Ask spreads, Brokerage and transaction costs and various other details. What is Open Interest and why is it important, and what is the role of a Market Maker. We study the different Order types and which ones are important for the average investor, and which ones make sense in different situations. We also discuss Regulation T Margin as it applies to Options as well as Portfolio margin.
SECTION VIII - BUY A CALL OPTION (CHIPOTLE MEXICAN GRILL)
Buying a Call Option is the most basic of all the Option strategies and is the most efficient strategy to optimize a bullish outlook on a stock. In this options trading strategies course, we take the example of Chipotle Mexican Grill (CMG) and show how the trade played out. We analyze the rationale behind entering the trade, the risk/reward profile, chart analysis and point of entry, choice of expiry and "moneyness" of the Option, time decay considerations, margin requirements, profit expectations, exit criteria, Greek analysis, its Profit and Loss profile and various other considerations. We provide a 360-degree analysis before trade entry. This is a real trade and over 15 days, and we navigate the trade to its exit point.
SECTION IX - BUYING A PUT OPTION (FXE EURO ETF)
Buying a Put Option serves two purposes - exploit a bearish move in the stock or be the ultimate protector of your stock. In this part of the course, we take the example of the Euro ETF (FXE) and show how the trade played out in about 25 days time. We analyze the rationale behind entering the trade, the risk/reward profile, chart analysis and point of entry, choice of expiry and "moneyness" of the Option, time decay considerations, margin requirements, profit expectations, exit criteria, Greek analysis, its Profit and Loss profile and various other considerations. We provide a 360-degree analysis before trade entry. We show you how to "let your winners run" in a controlled manner.
SECTION X - STRATEGY AND OPTIMIZATION
The Option strategy optimization course brings all the 4 Options strategies together. The 4 strategies are comprised of 2 bullish and 2 bearish strategies, but how and when should we choose a particular strategy over the other. We create a helpful "4 strategies box" to distinguish and connect one strategy to the other. Most importantly, what are all the considerations before we choose a strategy. Our choice of strategy depends not only on what the stock is currently doing, but also on various market externalities as well as a few key Option metrics like Implied Volatility. This course also provides a sneak peek into advanced Option topics like the VIX (Fear index"), trade simulation as well as trade adjustment parameters.
SECTION XII - SINGLE OPTION ADJUSTMENTS
This options trading strategies course studies the need for Option adjustments, and why adjustments are as critical to the success of your position as good entry or analysis. We consider all the four basic strategies - the Long Call, Short Call, Long Put, and the Short Put and look at various adjustments to these positions if they get into trouble. Every investor has a "pain point" - this is the point at which they adjust their position. Applying a rigorous approach to this pain point enables investors to control risk while maximizing the opportunity to profit. The course also discusses various details like early adjustments, over-adjusting and adjusting profitable trades as well as the importance of the investor's outlook for the stock when considering adjustments.
This bundle consists of Courses
Course I - Introduction to Options - Learn about Call Options and Put Options is a detailed step-by-step explanation of Options, Call Options and Put Options with theory and practical application with Apple (AAPL) Options
Course II - Options Foundation - Time Decay, Implied Volatility and Options Greeks will complete your theoretical understanding of Options.
Course III is Options strategies for Beginners - Buying Call Options and Put Options where we actually put live trades and manage them to their exit points.
Take this ultimate Options Trading Strategies course right now and learn options trading.
Who this course is for
Anyone interested in learning about Options trading
A bundle deal that covers all the basics of Options for beginners
Screenshots












 
822a6764-e9b2-4dec-b6f7-d884822c6c19.png

Preparing For Metaverse Dominated Future of Global Business
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 53 lectures (3h 3m) | Size: 3.14 GB

All about Metaverse, DeFi, NFT and future 3D landscape of global business. Work for or start creating your own Meta Mall
What you'll learn
Brand New Metaverse Business Ideas
The Importance of New Technologies in Driving the Future of Global Business
Emerging Opportunities in the Metaverse Dominated International Trade
What are NFTs?
What is the role of DeFi in the future growth of foreign trade
Role of connected devices, sensors and IoT in international supply chain management
How to buy and sell physical assets on Metaverse?
How to carry out international trade operations on Metaverse based marketplaces?
How to create a metaverse marketplace for international trading listings and transactions
How to sell Meta Assets on metaverse marketplace?
Role of voxel creators in driving the success of metaverse global marketplace
Requirements
Yes this is intermediate course. You need basic knowledge of Blockchain and Crypto and how does the concept work?
It is recommended that you first join my course on Udemy titled - All about blockchain and crypto: Foreign Trade Applications
You need to have basic understanding of the significance of blockchain technology in future business applications
Description
With a $1 trillion revenue opportunity in less than a decade, global businesses must start preparing for a metaverse-dominated future.
Following Facebook's rebrand as Meta and several companies' serious intentions for the metaverse, Morgan Stanley announced that it would be the "next big investment theme" in a note. 15 years back, software-as-a-service and the cloud had evoked a similar tectonic shift, leading the value of some companies to skyrocket and opening up a new economy for a cluster of players. For several businesses that were at the right place at the right time, their growth trajectory changed for good.
Now, as we enter into 2022, what are the potential business impacts we could expect in the next few years, as metaverse technologies are developed and gradually deployed? To explore this, we need to first understand why the metaverse is a revolutionary market force in the first place. This course prepares you for a high voltage, highly rewarding 3D business Metaverse career.
How Will the Metaverse Change the Business Landscape?
The metaverse is defined as a 3D virtual space that mimics the physics of our real world but introduces the advantages of AI and VR technology to drive rich interactive experiences between multiple users, as well as between a user and their virtual environment. Think of Matrix, where Neo could walk about a virtual urban landscape but also defy the laws of gravity if needed.
The metaverse, as envisioned by companies like Microsoft, Decentraland, Epic Games, and now Facebook, bring similar capabilities to technology users. The business implications of the metaverse are immense. It would enable hi-touch interactions for remote users, employees, and customers. Employees can conduct face-to-face meetings without having to be there in person. Customers can explore locations, trial new products, and even try customizations without having to travel to a store.
Further, there are new business opportunities to be explored when you defy the laws of physical reality. For example, data presentations don't have to be limited to a 2D slideshow - you can actually model data in 3D and interact with your hands.
Similarly, customers visiting a virtual reality theme park in the metaverse can go on rides without the traditional safety limitations. Or for a factory tour ride of a potentially dangerous work environment and perils. New Products 3D VR launches, 3D VR conferences, 3D buyer-seller meets, 3D VR trade shows and exhibitions, 3 D VR products showrooms.
A New Country with No Trade Barriers
It has been argued that the metaverse will come to be treated like a wholly new territory of its own. It will allow businesses from different physical locations to participate in a singular market economy, without trade barriers. The impact of real-world borders, treaties, and sanctions on the metaverse remains to be seen - but at its core, businesses will be able to trade freely without geographic constraints.
Eventually, one could imagine entire trading marketplaces and stock exchanges built in the metaverse that's open to a much larger pool of investors/participants than ever possible in the real world.
Understanding the Role of NFTs, Crypto, and Blockchain
Blockchain is one of the foundational technologies that is already powering the current metaverses. And will continue to do so. The metaverse is decentralized in nature, which means that no single entity will build it, own it or support it. This requires an underlying architecture based on blockchain, which is already the case with metaverse platforms like Decentraland and Sandbox. Real estate in these platforms is considered as tradeable, blockchain-based assets. Users can trade assets through cryptocurrency and property sold as NFTs ensures that assets remain non-interchangeable and retain their value.
In other words, the economy in the metaverse will depend entirely on blockchain and related asset classes like crypto and NFTs. In the future, we may have one unified metaverse that converges the multiple platforms that are currently being built.
For now, businesses can soon expect to buy property as NFTs to set up their VR stores and offer customers product catalogs that are priced using crypto. This course helps you to make a headstart to give ideas to create your own 3D metaverses and start selling these assets like real estate.
What Can Business Do Inside the Metaverse?
At present technologies are already in place for the metaverse enabling three primary use cases for business operations
Provide services for the metaverse
The metaverse will have its own 3D voxel products and services requirements that can be met by a variety of businesses/creators in the metaverse. For example, users/exporters might want to purchase VR accessories to personalize and "dress" their 3D avatars, put assets on purchased lands/addresses. For example, in the games space, these could have artifact hunters to help players complete goals and earn money. So so-called Voxels Creators are already making these 3 D assets/objects/things and selling these objects/voxels by transforming these into NFTs and putting these on Metaverse NFT marketplaces like Opensea.
Tour guides in VR locations like theme parks or museums are another area where businesses can operate. Similar guides like middlemen and trade agents of the real world would be required for Metaverse dedicated to global business and foreign trade.
Sell meta-assets as NFTs.
Metaverse creators can start creating their business metaverses and start selling VR land.
Businesses can also engage in the sales and purchase of virtual assets in the metaverse, in the form of NFTs. Non-fungible tokens or NFTs are an increasingly popular digital asset class that confers upon the buyer a form of ownership license for a virtual product. In the recent past, tweets, memes, GIFs, and digital artwork have been sold as NFTs. This course also provides solutions for linking real-world export shipments to NFTs through connected assets, sensors, and IoT devices.
Businesses could find investment opportunities in the metaverse, thanks to the demand for high-value NFTs.
Advertise real-world products in VR
The metaverse could also drive business growth in the real world through VR ads and marketing. Advertising in the metaverse could range from digital billboards outside of virtual collaboration spaces to product placements in VR games. You could have end-to-end brand storytelling experiences like Nikeland, with downloadable brand offerings that reinforce product recall for physical stores.
Regulating Trade in the Metaverse
Business and trade in the metaverse will have multiple dimensions, making it a challenging task for regulatory bodies. For one thing, the value of cryptocurrency is known to vary wildly on a daily basis; this calls for special measures for investor protection.
Also, the intrinsic value of NFTs is up for debate as the ownership license isn't quite the same as for traditional goods and services.
Finally, there is a risk of large brands and market leaders getting a headstart and possibly monopolizing ad messaging in the metaverse. For instance, Gucci, Nike, Louis Vuitton, and Coca-Cola have been among the early movers in this space - this could make it difficult for smaller and emerging brands to carve out room.
This course provides answers and directions to address some of these issues in the most innovative ways to help you start working in this direction to be the first mover and founders for the future landscape of global business
Ultimately, the metaverse is poised to be the next iteration of the free market, only this time in virtual reality. It will have all the associated risks and opportunities - with regulatory intervention absolutely essential to ensure trading practices.
What is taught in this course?
While this course effectively prepares for a rewarding fast-tracked career in the 3D metaverse dominated global business, it specifically covers the following topics-
How to create a blockchain-based Alibaba-type foreign trade VR web portal/marketplace, using Metaverse, NFTs, Defi, and Web 3.0 services, native tokens?
Start Selling The Meta Assets In your Own Metaverse Based Marketplace
All about basics of Metaverse, Defi, NFTs, Web 3.0, and related topics.
Metaverse Hardware Basics
How Metaverse global business operations are to be carried out?
How can small and medium international traders exploit this technology?
Exports of Services through Metaverse (with a real case study)
Future developments in Metaverse space
About the instructor
Dr. Vijesh Jain who is the instructor and innovator of the ideas in this course has more than 33 years of corporate, international business, and new technologies solutions practical experience. He has worked with several global corporations in different countries. Having done business with more than 28 countries, he is now a full-time innovator, coach, trainer, and consultant for new global business solutions and exports mastery. He is a regular contributor since August 2020, of the online courses on Udemy with more than 20 courses available on Udemy. He is already having more than 100 K students enrolled in his 20 VJ Exports Mastery Series online courses on UDEMY with more than 230 K courses enrollments from 186 countries. He is an alumnus of BITS, Pilani, IIFT, New Delhi, BIMTECH, Delhi NCR, Univ of Mysore, Harvard University, USA. He is certified by NASBITE USA as a Global Business Professional and life member of NASBITE, USA.
Who this course is for
Most ambitious entrepreneurs, organizations, business entities
Large corporate houses looking to create disruptive business empire or to expand
Large industrial houses who are interested to adopt new revolutionary technologies in most sustainable ways
Business owners looking for disruptive new technology based ideas.
Young students looking for high paying new tech business roles
Homepage










 
Zurück
Oben Unten