|Course or Certification Name||Category||Location||Mode of learning|
|Introduction to Finance, Accounting, Modeling and Valuation||Financial modelling||Online self study|
|Financial Modeling with MS Excel Foundation & Advanced Certification||Financial modelling||Online self study|
|Beginner to Pro in Excel: Financial Modeling and Valuation||Financial modelling||Online self study|
|The Real Estate Financial Modeling Bootcamp||Real Estate consulting||Online self study|
|The Real Estate Pro Forma Modeling Master Class||Real Estate consulting||Online self study|
|The Real Estate Financial Modeling Interview Exam Guide||Real Estate consulting||Online self study|
|Deployment of Machine Learning Models||Data Science||Online self study|
|Business Analysis Modeling Skills & Techniques||Business Analytics||Online self study|
|Build Financial Models & Value Companies The Easy Way||Financial modelling||Offline self study|
|Introduction to Financial Modeling for Beginners||Financial modelling||Online self study|
|Real Estate (REIT) Modeling||Financial modelling||Online self study|
|MCSE Business Intelligence : 70-466 Implementing Data Models and Reports with Microsoft SQL Server||MS Sql Server Administration||Online self study|
|LBO Modeling||Financial modelling||Online self study|
|Introduction to Spreadsheets and Models||MS Office||Online self study|
|Build and model a Super MARLO runner clone in Unity3D||Game development||Online self study|
#1 Best Selling Accounting Course on Udemy (Learn Finance and Accounting the Easy Way)! ACCORDING TO BUSINESS INSIDER: " Haroun is one of the highest rated professors on Udemy, so you can expect to be in good hands through the course of your education." He is the author of the best selling business course on Udemy this year called 'An Entire MBA in 1 Course'. This course will help you understand accounting, finance, financial modeling and valuation from scratch (no prior accounting, finance, modeling or valuation experience is required). After taking this course you will understand how to create, analyze and forecast an income statement, balance sheet and cash flow statement. By the end of his course you will also know how to value companies using several different valuation methodologies that I have used during my Wall Street career so you can come up with target prices for the companies that you are analyzing. By the end of this course you will also know how to analyze financial statements using many different financial ratios/formulas that I have used in my hedge fund, Goldman Sachs and venture capital career. Lastly, I am teaching this course in a much more visual and entertaining way; I hope you enjoy the course as I always use an 'edutainment' and visualization teaching approach to make complex topics simple/easy to understand. Please note that if you already signed up for my course called "Hedge and Mutual Fund Careers: The Complete Guide," some of the accounting and finance topics in this course were already covered in the Hedge and Mutual Fund Careers: The Complete Guide course. Thanks
Financial Modeling with MSÂ® Excel Foundation & Advanced training enables professionals to handle finance models by applying advanced level tools and applications of Excel. Financial Modeling is the task of building a model representing financial asset and performance of a business. Financial Modeling skills are must for finance and commerce professionals especially for almost all mid-senior management professionals worldwide. The added skills gained through MS Excel training helps finance and commerce professionals to gain an in-depth understanding of financial modeling techniques to succeed in todayâ€™s demanding environment.
Make an investment that will be highly rewarded in career prospects, positive feedback, and personal growth. This course is suitable for graduates who aspire to become investment bankers as it includes a well-structured DCF model and goes through the theoretical concepts behind it. Moreover, it will encourage you to be more confident when coping with daily tasks and will give you the edge when the firm must decide whether to take you on for a full-time position. | People with basic knowledge of Excel who go through the course will dramatically increase their Excel skills.
Learn how to put your machine learning models into production. What is model deployment? Deployment of machine learning models, or simply, putting models into production, means making your models available to your other business systems. By deploying models, other systems can send data to them and get their predictions, which are in turn populated back into the company systems. Through machine learning model deployment, you and your business can begin to take full advantage of the model you built. When we think about data science, we think about how to build machine learning models, we think about which algorithm will be more predictive, how to engineer our features and which variables to use to make the models more accurate. However, how we are going to actually use those models is often neglected. And yet this is the most important step in the machine learning pipeline. Only when a model is fully integrated with the business systems, we can extract real value from its predictions . Why take this course? This is the first and only online course where you can learn how to deploy machine learning models. In this course, you will learn every aspect of how to put your models in production. The course is comprehensive, and yet easy to follow. Throughout this course you will learn all the steps and infrastructure required to deploy machine learning models professionally. In this course, you will have at your fingertips, the sequence of steps that you need to follow to deploy a machine learning model, plus a project template with full code, that you can adapt to deploy your own models. What is the course structure? Part 1: The Research Environment The course begins from the most common starting point for the majority of data scientists: a Jupyter notebook with a machine learning model trained in it. Part 2: Understanding Machine Learning Systems An overview of key architecture and design considerations for different types of machine learning models. This part sets the theoretical foundation for the practical part of the course. Part 3: From Research to Production Code A hands-on project with complete source code, which takes you through the process of converting your notebooks into production ready code. Part 4: Deployment Tooling Continuing with the hands-on project, this section takes you through the necessary tools for real production deployments, like CI/CD, testing, model cloud storage and more. Part 5: Deployments In this section, you will deploy models to both cloud platforms (Heroku) and cloud infrastructure (AWS). Part 6: Bonus sections In addition, there are dedicated sections which discuss handling big data, deep learning and common issues encountered when deploying models to production. Important: This course will help you take the first steps towards putting your models in production. You will learn how to go from a Jupyter notebook to a fully deployed machine learning model, considering CI/CD, and deploying to cloud platforms and infrastructure. But, there is a lot more to model deployment, like model monitoring, advanced deployment orchestration with Kubernetes, and scheduled workflows with Airflow, as well as various testing paradigms such as shadow deployments that are not covered in this course. Who are the instructors? We have gathered a fantastic team to teach this course. Sole is a leading data scientist in finance and insurance, with 3+ years of experience in building and implementing machine learning models in the field, and multiple IT awards and nominations. Chris is an AI software engineer with enormous experience in building APIs and deploying machine learning models, allowing business to extract full benefit from their implementation and decisions. Who is this course for? This course is suitable for data scientists looking to deploy their first machine learning model, and software developers looking to transition into AI software engineering. Deployment of machine learning models is a very advanced topic in the data science path so the course will also be suitable for intermediate and advanced data scientists. How advanced is this course? This is an intermediate level course, and it requires you to have experience with Python programming and git. How much experience? It depends on how much time you would like to set aside to go ahead and learn those concepts that are new to you. To give you an example, we will work with Python environments, we will work with object oriented programming, we will work with the command line to run our scripts, and we will checkout code at different stages with git. You donâ?? need to be an expert in all of these topics, but it will certainly help if you have heard of them, and worked with them before. For those relatively new to software engineering, the course may be challenging. We have added detailed lecture notes and references, so we do believe beginners can take the course, but keep in mind that you will need to put in the hours to read up on unfamiliar concepts. On this point, the course slowly increases in complexity, so you can see how we pass, gradually, from the familiar Jupyter notebook, to the less familiar production code, using a project-based approach which we believe is optimal for learning. It is important that you follow the code, as we build up on it. Still not sure if this is the right course for you? Here are some rough guidelines: Never written a line of code before : This course is unsuitable Never written a line of Python before : This course is unsuitable Never trained a machine learning model before : This course is unsuitable. Ideally, you have already built a few machine learning models, either at work, or for competitions or as a hobby. Have only ever operated in the research environment : This course will be challenging, but if you are ready to read up on some of the concepts we will show you, the course will offer you a great deal of value. Have a little experience writing production code : There may be some unfamiliar tools which we will show you, but generally you should get a lot from the course. Non-technical : You may get a lot from just the theoretical section (section 3) so that you get a feel for the possible architectures and challenges of ML deployments. The rest of the course will be a stretch. To sum up: With more than 50 lectures and 8 hours of video this comprehensive course covers every aspect of model deployment. Throughout the course you will use Python as your main language and other open source technologies that will allow you to host and make calls to your machine learning models. We hope you enjoy it and we look forward to seeing you on board!
LEARN WHAT EMPLOYERS CONSIDER ONE OF THOSE MOST IN-DEMAND SKILLSTHEY LOOK FOR IN A BUSINESS ANALYST TODAY. Discover exactly how to become one of these invaluable employees by learning how to model the art of making complex thoughts, ideas, requirements, and processes easier to grasp by putting them into graphical formats that anyone can understand. This course will teach you the basics of eight of the most popular modeling techniques in the industry. Process Flowcharts SWOT Analysis Use Cases User Stories Stakeholder Maps RACI Matrices Scoring Matrices Organizational Charts Course enrollment grants you lifetime access, with no expiration, to all the course lectures, activities, handouts, and quizzes. In addition, You'll also receive 1-on-1 support for any questions or uncertainties that come up. And this all comes with a money-back guarantee . You have nothing to lose and so much to gain. Just ask the students who've already taken this course: "The course is very enlightening and the tutor is amazing. He breaks down everything you need to know to the minutest detail which makes it really easy to understand. This is my third course by Jeremy and I have no regrets.- Adebukonla The course is great. I would say this is the best course in online which can fully explain a lot of techniques in-depth. The instructor is a true professional of his work and can easily explain different sophisticated concepts. This course is highly recommended as well as the BA Guide's other courses. Aykhan Excellent course!! Not only does the course click on all cylinders with insight information, but it also contains all the presentation and templates Jeremy discusses, which he walks you through. I would recommend this course for beginners as well as season veterans needing a refresher.- Curtis The BA Guide's TEACH, SHOW, DO technique This course makes use of The BA Guide's TEACH, SHOW, DO technique a method I've developed over my years of experience in the industry training and managing Business Analysts. This technique will help ensure you with total comprehension of the topic at hand and maximum information retention long after the course is finished. TEACH You first learn the concept, in detail, from the ground up. But I won't simply teach you the concept in isolation You'll learn HOW and WHEN to use it too. SHOW Once you fully understand the concept, we enhance that by walking you step-by-step through real-world examples so you can see exactly how the concept would pan out if you were to apply it in the real world. DO Firmly cement everything you've learned so far and put your new knowledge to the test by completing the included activities and quizzes. Validate you've fully understood the concept and greatly increase your ability to retain the information you've learned. Tell me and I forget. Teach me and I remember. Involve me and I learn Benjamin Franklin What bonuses are included? Of course, anyone who has studied one of my courses before will know, it simply wouldn't be a course by The BA Guide if I didn't include some value-packed bonus material! As well as teaching you the fundamentals of these eight modeling techniques, You'll also gain access to the following modeling templates that you are free to download and use for current and future projects: SWOT Analysis Template Scoring Matrix Template Stakeholder Map Template RACI Matrix Template Org Chart Template Use Case Template User Story Template In addition to all the tools You'll need to learn and use these modeling techniques, You'll also get a foot into the industry by way of an industry expert Â¦ I'm not just the instructor who wrote this course, I will also act as both a resource and a mentor to guide you to a long and rewarding career in Business Analysis! Still not convinced? " So glad I have decided to go with, The BA Guide. This was a total package and what a bang for my buck! I have already purchased his other courses to continue my BA education. Thank you Jeremy for the great curriculum and real-world expertiseâ?¹.- Bohdan The instructor is clear, easy to understand, shows very good understanding of the subject matter. Real life example was provided with detail explanation. I don't want to sound like a billboard; however, this is not a pp presentation, it is real teaching. Highly recommended Thanks Patrick Why should I enroll? If you're an aspiring Business Analyst these skills will give your resume a huge boost as well as provide you with the knowledge to confidently answer any related interview questions. For current Business Analysts, these skills will help ensure that project team members and stakeholders will have a clearer understanding of your vision thanks to your new-found ability to clearly explain complicated plans and concepts overall resulting in more successful projects. Finally, I believe in respecting my students' time and I want to teach you what you need to know to successfully utilize these models without bogging you down in unnecessary details or theory . That's why the visual modeling techniques taught in this course are taught with no fluff added . And if you're still not sure here's my promise to you: This course comes with a 30-day money-back guarantee! That means, if you aren't completely satisfied with your purchase, I'll give you a refund no questions asked! By the end of this course, You'll have a concrete understanding of the fundamentals of the eight most popular modeling techniques, allowing you to easily explain complex concepts in a clear and understandable way to anyone, regardless of their role or lack of knowledge on the subject. So, if you're looking for an edge over the competition and want to learn what most employers consider the most in-demand skill they look for a Business Analyst today, enroll now and start learning the essential skills and techniques of modeling.
You need to understand the key concepts of Finance | You need to understand the relevant features & techniques in Excel |You need to be able to put both of those together in practice.
First, we will learn about the REIT industryâ€™s unique drivers and challenges. We will then build REIT financial and valuation models from scratch, using a step-by-step approach for an actual company, BRE Properties. Along the way, we will cover modeling best practices for same store properties, acquisitions, developments, and dispositions. In addition, we model and deconstruct critical REIT profit metrics like FFO, AFFO, and CAD. Part 2 dives into valuation modeling, with a focus on the Net Asset Value (NAV) approach.
Data modelling is the key to success in Business Intelligence (BI) and the cornerstone to building data warehouse applications.| This 70-466 Implementing Data Models and Reports with Microsoft SQL Server offers training to candidates to gain skills in reporting and analysis solutions for implementing data models and reports | Focussed on BI developers, the course provides high-quality online content developed by some of the prominent professionals in the industry | The course covers various topics like designing multidimensional models, implement and configure cubes, MDX queries, tabular data models and other related areas | A course-completion certification is awarded to the candidates
Leveraged buyout (LBO) modeling is used widely by investment banks and private equity firms and is often part of a finance interview. In this course, you will learn how to build a real, complex LBO model from scratch. You will start by learning about basic LBO concepts, typical deal structures, and current industry dynamics. You will then build a full LBO model from scratch with stock vs asset sale toggles, multiple tranches of debt, PIK toggles, and sophisticated deferred tax and depreciation schedules. The course concludes with advanced topics such as purchase price allocation and deferred taxes in acquisitions.
The simple spreadsheet is one of the most powerful data analysis tools that exists, and itÃƒÂ¢Ã‚Â€Ã‚Â™s available to almost anyone. Major corporations and small businesses alike use spreadsheet models to determine where key measures of their success are now, and where they are likely to be in the future. But in order to get the most out of a spreadsheet, you have the know-how to use it.
Build and model a Super MARLO runner clone in Unity3D is a web app tutorial by Eduonix Learning Solutions. The course will take you through the concepts of designing cross-platform games, and beginners and advanced concepts of C#. You will learn to design and build your own 3D Super Marlo Run game, a copy of the famous Mario game.