KPI and metrics for Management Consultants & Managers

Welcome to Forecasting Real Estate Market with Linear Regression LSTM course. This is a comprehensive project based course where you will learn step by step on how to perform complex analysis and visualisation on real estate market data. This course will be mainly concentrating on forecasting the future housing market using two different forecasting models, those are linear regression and LSTM which stands for long short term memory. Regarding programming language, we are going to use Python alongside several libraries like Pandas for performing data modelling, Numpy for performing complex calculations, Matplotlib for visualising the data, and Scikit-learn for implementing the linear regression model and various evaluation metrics. Whereas, for the data, we are going to download the real estate market dataset from Kaggle. In the introduction session, you will learn basic fundamentals of real estate market forecasting, such as getting to know the characteristics of the real estate market, forecasting models that will be used, and major problems in the real estate market nowadays like limited housing supply and population growth. Then, continue by learning the basic mathematics behind linear regression where you will be guided step by step on how to analyze case study and perform basic linear regression calculation. This session was designed to prepare your knowledge and understanding about linear regression before implementing this concept to your code. Afterward, you will learn several different factors that can potentially impact the real estate market, such as population growth, government policies, and infrastructure development. Once you’ve learnt all necessary knowledge about the real estate market, we will start the forecasting project. Firstly, you will be guided step by step on how to set up Google Colab IDE, then, you will also learn how to find and download datasets from Kaggle. Once everything is all set, you will enter the main section of the course which is the project section. The project w

This course delves into the complexities of financial modelling specific to the real estate industry, with a focus on recapitalising the capital stack by providing subordinate debt to address financing gap. Ideal for experienced real estate investors, advisers, and people who would like to start a career in real estate investment related roles, this course equips participants with the capability to build a fully dynamic real estate financial model in Microsoft Excel.The curriculum begins with why there is a financing gap challenge in the real estate market today followed by reviewing a case study where the sponsor is seeking a preferred equity solution for an office building in London which, alongside further equity injection will unlock value-accretive asset management initiatives and right-size the in-place senior loan.Students will learn how to model rental income under various UK’s rent review structure, property and corporate level expenses. Furthermore, this course will explore the concept of renewal probability and apply it in financial modelling.A significant portion of the course is dedicated to modelling senior and preferred equity financing arrangements. Student will learn to model reserve and cash trap accounts, debt covenants, cash / payment in kind interest, understanding their implications on cashflow and risk.Participants will explore the intricacies of real estate co-investment, including modelling fees and promote structure. Specifically, the course will cover the concept of invested capital and GP catch-up clause and learn how to calculate profit share between General Partners and Limited Partners.Lastly, the course will introduce the use of macros and VBA to financial modelling. Student will be equipped with the skill to create sensitivity analysis and overcome circular reference by using VBA.By the end of the course, students will be proficient in creating advanced real estate financial models. They will be equipped with the analytical tools to mak

In the natural world, survival depends on an organism’s ability to filter out distractions and focus purely on the signals that matter. A predator doesn't expend energy chasing every shadow; it waits patiently for the perfect, high-probability moment to strike. The financial markets operate in the exact same way. Every single day, millions of market participants are overwhelmed by market noise—random price fluctuations, conflicting indicators, and emotional biases. Traders who rely on 'feelings' or untested discretionary patterns often fall prey to this chaos, eventually becoming extinct in the marketplace. However, hidden within this noise are objective, repeating mathematical states. Those who can extract the truth from historical data, isolating specific market characteristics to find genuine high-probability environments, are the ones who adapt, survive, and thrive.Hello everyone, my name is Joy D Moyo, and in this course, I will be teaching you how to eliminate market noise and develop a purely objective speculative edge by building what I call a "Truth Matrix" using the MQL5 language. This course is project-based, and we are going to achieve our objectives by mining historical data to find undeniable statistical truths. You will learn how to generate an MQL5 script using generative AI that performs a massive 10-year historical audit, collecting data on market states and storing it as a CSV file, allowing you to organize, manipulate, and analyse it to find your edge.In this course, we shall identify high-probability patterns by fingerprinting specific market states. We shall achieve this by combining session times with technical indicators like the ADX, RSI, Awesome Oscillator, and ZigZag. We will then develop a "Truth Engine"—a dual-simulation algorithm that loops through dozens of dynamic Risk and Reward combinations across these states to see exactly what works and what fails.The patterns we identify will give us a distinct edge in finding protocols for our trade entries and, most

Welcome to the Blockchain Masterclass for Businesses and Corporations, where you will acquire the tools to build the blockchain strategy for your enterprise.By the end of the course, you will be able to recognize where and how blockchain and smart contracts can be applied within the corporate world. And you will confidently take strategic actions about the technology within your company.The course contains 8 key segments:Segment 1: Blockchain for business essentialsSegment 2: Smart contract platformsSegment 3: The legal frame enterprises have to considerSegment 4: Blockchain as a compliance-enablerSegment 5: Blockchain and auditingSegment 6: Challenges and roadblocks for corporate blockchainsSegment 7: Managing and controlling blockchainsSegment 8: Applying blockchain technology to your enterpriseThere are many extensive blockchain courses out there, so why choose the Blockchain Masterclass for Businesses and Corporations?1) Immerse yourself into the most effective learning experience you will find on the market. The value of a course is not measured by the hours spent on it, but by the insights gained and stored. Thanks to enlightening demos, quizzes, brain-teasers, and other interactive tasks the succinct and concentrated knowledge will shape your understanding of blockchain forever.2) Learn from a pundit, not just an instructor. Igor Pejic is a globally leading voice on technology and finance. His multiple award-winning book "Blockchain Babel" brought blockchain to the boardroom. And his keynotes and seminars continue to ed

كنتيجة لما لاحظناه في الواقع العملي في أغلب الشركات , فإننا لم نجد أحد يقوم بتدريب أي محاسب جديد , وقلة نادرة هي التي تقوم بتدريب الغير , وحتى هؤلاء الذين يقومون بتدريب غيرهم , وإن كانوا مشكورين على فعلهم هذا , إلا أننا قد لاحظنا أن معظمهم للأسف ليست لديه مادة علمية قوية , وبالتالي فإن من يتتلمذ على أيديهم يكون فعليا محاسب ضعيف للغاية , والأسوأ من كل ما سبق هو أن هذه الفئة الأخيرة والتي تتلمذت على أيدي أناس ليسوا أقوياء في المهنة , تجد هؤلاء يعتقدون أنهم قد وصلوا لدرجات من التمكن في المهنة لا يعتقدون أن هناك أفضل منهم , وللأسف هذا وهم كبير.كنتبجة لما سبق فقد قررنا أن نسد هذه الثغرة وسنقوم بتأهيل المحاسبين لسوق العمل بشكل يعتمد على المهنية العلمية والعملية , حيث يتمتع النحاضر بخبرة تزيد عن 36 عام في مهنة المحاسبة , والزكاة والضرائب , ويتمتع المحاضر بأسلوبه المبسط في إيصال المعلومة.سنبدأ معك من البداية باعتبار أنه لا توجد لديك أية معلومة في المحاسبة على الإطلاق , وسنستمر معك حتى الوصول إلى درجة الاحتراف التام , فلا تقلق إن كنت بعيدا عن المحاسبة تماما , كما لا تقلق إن كنت قد قابلت في حياتك من المثبطات التي كونت عندك يقين بأنك لن تستطيع أن تمارس مهنة المحاسبة أبدا.نحن معك خطوة بخطوة , سنبدأ من الصفر , وسنبني لديك الفكر المحاسبي السليم الذي يضمن لك أن تقوم بتطبيق المحاسبة في أي ظروف , وفي أي شركة , وفي أي تعقيدات قد تقابلها في حياتك العمليةتقديرنا أنه بعد دراستك لهذا الكورس سوف تكون قادرا على العمل في هذه المهنة بمستوى خبرة لا يمكن أن يقل عن 10 سنوات تدريب على أيدي أناس مؤهلون وحريصون على تعليمك ( الأمر الذي يندر أن تقابله في الحياة العملية , وذلك كما أوضحنا لك سابق ) , أضف إلى ما تقدم ما يلي - المحاضر سوف يلتقي بكم عبر البث المباشر بشكل دوري للإجابة على استفساراتكم.- أيضا فإن المحاضر سيتواصل معكم بشكل مباشر طوال فترة دراستكم للكورس لتسهيل ما قد يقف أمامكم من عقبات في سبيل التعلم , وبالتالي فإنك أمام محاضر متابع لك بشكل دائم , وهذا قد لا تجده في أية كورسات أخري

In this information era, the value and survival of an individual in a competitive environment lies in its Intellectual Property. Everything today is about information, and the rapid advancement in technology has made accessing and distributing such information much easier. As such, it is now harder to safeguard your intellectual property from theft and copying.As an MQL5 developer, protecting your intellectual property should be a priority for your trading and freelancing business regardless of whether you’re a beginner or an MQL5 development Megalodon. The financial markets are one of the most competitive ecosystems that humans exist in. To be better than the competition on a consistent basis, you will need an edge that will help you outshine everyone else. That competitive edge has to be protected at all costs because if it becomes common knowledge, it will lose its novelty and advantage.Intellectual property is an intangible asset of the original thought. It is an asset that gives you the edge and a competitive advantage in the marketplace. Bear in mind that protecting your MQL5 software is critical to fostering innovation, pride confidence and a peace of mind. Selfishness is not a bad thing. It’s a great way of protecting yourself and your food. Resources are limited in this world and we have to compete for them. Selfishness should be amplified in the financial markets. The financial markets are made up of tough men and women with no other objective other that to take your money. Competition is stiff and if you have found an edge that allows you to beat the competition on a more consistent basis, why share that edge with your competition? In this course. I am going to teach you how to be selfish and stingy with your trading software. I am going to teach you how to only allow authorized users to use your trading software. This course will keep things simple and will only use MQL5 and we will not complicate things by using codes from python and other langua