Tally Course in Gujarati - Practical Accounting Data Entry

I will help you prepare for the CKYCA exam from ACAMS.The Certified Know Your Customer Associate (CKYCA) Certification is a globally recognized training program and exam for professionals early in their KYC/CDD careers.The Certified Know Your Customer Associate (CKYCA) program sets a new global standard for KYC compliance staff involved in analysis, onboarding, anti-money laundering prevention, and other related roles, providing recipients the core competencies required to perform KYC/customer due diligence (CDD) including enhanced due diligence (EDD) duties for higher risk customers with minimal supervision and experience.CKYCA applicants will learn procedures and strategies to assess and validate customer data, identify ultimate beneficial owners (UBOs) and associated third parties, screen for matches from sanctions lists and media reports, analyze managed assets and red flags for risk assessment purposes, and create customer profiles that account for privacy requirements and future audits, among other skills.The CKYCA program is a crucial piece of the ACAMS mission to equip our members with everything they need to excel in the anti-money laundering and anti-financial crime compliance sector. Whether you’re a junior KYC analyst or a team lead, this program will help you identify sources of wealth and flag potential criminal activity hidden behind opaque and complex structures.In this course, I go through the various concepts of the CKYCA with video lectures.

The financial industry is being disrupted by the emerging use of Blockchain Technology and Smart Contracts. If you are in the finance industry or work with those in finance it is imperative that you have an understanding of what is happening now and in the near future to better position yourself in your career and recognize opportunities for career enhancement. Through foundational learning, deep dive into technology application across many industry segments, and leveraging real world case studies that are happening now you will become an expert in this area and better position yourself for success either as an individual contributor or if you are in a leadership role. Please note that the course is not a:Cryptocurrency investing course: Although it can help you to better understand the underlying technology and real world use that can help any investor.Coding course: Although if you code or work in tech and/or FinTech then this course can really help you with a better end use understanding and stimulate thoughts around future opportunities.In the course you will learn all about:Foundational Principles Of Blockchain Technology And Smart Contracts.The Universal And Finance Industry Specific Benefits Of Blockchain Technology And Smart Contracts.How Blockchain Technology And Smart Contracts Can Be Applied In A Variety Of Industry SegmentsAsset Management​Financial Product Distribution​Financial Product Asset Lifecycle​Payments​P2P Transfers​Clearance Settlement​Know Your Customer (KYC) Identity​Data Security And Transparency​Trade Finance​Insurance​Anti-Money Laundering Counter-Terrorist Financing​Regulatory Compliance​VC Entrepr

Make finance easier and smarter with AI—no coding, no complex formulas.This course is your complete path from beginner to pro, teaching you how to apply AI tools to real finance tasks like budgeting, forecasting, reporting, and analysis.No need for programming, deep research, or complicated Excel models. We focus on ready-to-use tools, prompts, and workflows that anyone can implement—students, professionals, or business owners.Through real-world use cases, you'll learn how to:Automate boring and repetitive financial tasksSummarize data and reports quicklySimplify forecasting and planningMake faster, better financial decisionsThis course helps you focus on doing, not learning theory.What You’ll LearnHow AI is transforming modern finance workflowsPractical use of AI tools for budgeting, forecasting, and financial reportingStep-by-step walkthroughs of real financial use casesTime-saving techniques to automate repetitive tasksHow to generate smart insights and summaries with minimal effortStrategies to enhance financial decision-making using AIKey FeaturesBeginner-friendly structure with progressive learningNo coding, formulas, or technical software requiredReal business-focused examples and case studiesActionable prompts and tools you can start using immediatelyDesigned for both students and working professionalsWho This Course is ForFinance students who want to build future-ready skillsProfessionals looking to simplify their financial tasksEntrepreneurs or freelancers managing their own financial operatio

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