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Corporate Finance Institute | Online Financial Analyst Training

Corporate Finance Institute’s (CFI’s) Financial Modeling & Valuation Analyst (FMVA)® Certification Program was created by experienced instructors for ambitious financial analysts, who want to close the skill gap between formal education and becoming a world-class financial analyst.

The curriculum covers the most important skills for analysts, including Financial Modeling, Finance, Valuation, Excel, Budgeting & Forecasting, Presentations & Visuals, Accounting, and Strategy.

Use coupon code “bionicturtle” for a 15% discount!

Bundles

  • CFI Full Immersion Bundle & FMVA™ Certification: Crafted for students looking to gain a competitive edge in the financial industry, this bundle provides a comprehensive program with real insights into tasks faced by financial analysts on a daily basis. Take your learning experience to the next level with your own user account for PitchBook Data and one-on-one feedback on your financial models. Includes 24 courses, certificates, PitchBook Data access, one-on-one financial model feedback, extra case studies, and more.
  • CFI Self-Study Bundle & FMVA™ Certification: Never expires and gives you access to over 100 hours of professional Wall Street training material. This bundle includes 24 courses and certificates with 20+ financial models & templates.
  • Premium Bundle: lifetime access to 14 courses & certificates: Taught at investment banks and major financial institutions, this Bundle is for students and professionals seeking careers in Investment Banking, Private Equity, Corporate Finance, and Equity Research. The step-by-step program uses real-world examples and simulates the experience of being a financial analyst.
  • Basic Bundle: lifetime access to 9 courses and certificates: Taught at investment banks and major financial institutions, this Bundle is for students and professionals seeking careers in Investment Banking, Private Equity, Corporate Finance, and Equity Research. The step-by-step program uses real examples and simulates the experience of being a financial analyst.
  • Small Business Courses Bundle: This bundle offers comprehensive step-by-step training and a valuable library of templates to support business owners and entrepreneurs who are committed to improving the operations of their company.

Individual Certifications

  • Financial Planning & Analysis FP&A Certification: This certification program is for students and professionals seeking careers in financial planning and analysis (FP&A) at public and private companies around the world. This program uses real-world examples and simulates the experience of training as a financial analyst.

Individual Courses

  • Math for Corporate Finance: This four-module course demonstrates how a number of financial mathematics formulas can be used to conduct detailed analysis on a set of data and/or variables.
  • Advanced Excel Formulas Course: Learn the most advanced formulas, functions and types of financial analysis to be an Excel power user. This advanced course builds on our free Excel Crash Course and is designed for spreadsheet users who are already proficient and looking to take their skills to an advanced level.
  • Excel Modeling Fundamentals: Learn the fundamentals of Excel modeling from professional Wall Street trainers. This course provides tips and tricks for Excel model builders and gives advice on how to audit your financial models. It also demonstrates how to use better formulas, and shows you how to monitor and handle uncertainty using scenarios planning.
  • Financial Analysis Fundamentals: This four-module course demonstrates how you can perform a comprehensive financial analysis of any organization using a wide variety of ratios derived from its financial statements. This program provides the skills and training necessary to be a complete financial analyst.
  • Building a Financial Model in Excel: This step-by-step course has been taught to thousands of finance professionals at top financial institutions around the world by Scott Powell. You will learn to build a financial model from scratch by working in Excel and following along with the video. Upon completing the course and all quizzes you will obtain your Financial Modeling Certificate from CFI and be on your way to breaking into wall street.
  • Business Valuation Modeling: This course provides participants with the skills needed to perform detailed business valuation modeling using three main methods: Comps, Precedents and DCF Analysis. The training provided in this series will be valuable to those who are looking for a detailed and step-by-step explanation of how to value a company based on comparable companies, past M&A transactions and a Discounted Cash Flow Model (DCF).
  • Business Valuation Fundamentals: This four-part course provides participants with the skills needed to do a basic business valuation. This will be valuable to those who are new to business valuation and are looking for a high-level introduction to valuation fundamentals.
  • Budgeting and Forecasting: This course will teach you about the budgeting process from start to finish, including how to create a disciplined culture of budgeting in your organization, the various methods for building budgets, techniques to analyze results, and how to increase the chances of organizational performance improvements.
  • FP&A Monthly Cash Flow Forecast Model: Master the art of building a rolling 12-month cash flow forecast model. You will learn to build an Excel model from scratch complete with assumptions, financials, supporting schedules and charts.
  • Scenario & Sensitivity Analysis in Excel: This advanced course will teach you how to perform Excel sensitivity analysis with a focus on practical applications for professionals working in investment banking, equity research, financial planning & analysis (FP&A), and finance functions. The tutorial goes step by step through all the formulas and functions required to perform the analysis in Excel from scratch.
  • Dashboards & Data Visualization: This in-depth course will teach you how to build a custom Excel dashboard using professional data visualization techniques. It will provide you with a solid understanding of how to tell a story by combining data, charts, graphs, and other visuals.
  • PowerPoint & Pitchbooks: Learn the most advanced functions, tips and best practices for presentation design to be a distinguished PowerPoint user. This tutorial is for financial analysts who need to create PowerPoint presentations, mainly in the form of pitchbooks. This is a classic skillset for Analysts who need to make world-class presentations.
  • Advanced Financial Modeling & Valuation (Amazon Case): This advanced course provides a case study on how to value Amazon.com, Inc (AMZN). This course is for professionals working in investment banking, corporate development, private equity, and other areas of corporate finance that deal with valuing companies and performing advanced methods of valuation.
  • Real Estate Financial Modeling: Build a dynamic Real Estate Financial Model to evaluate the investment return profile of a development project in Excel. This course is for development professionals, lending/banking analysts, surveyors, and anyone interested in mastering the art of building real estate development models from scratch.
  • Startup / e-Commerce Financial Model & Valuation Course: Master the art of building a financial model and valuing an e-Commerce Startup. You will learn to build a startup financial model from scratch complete with assumptions, financials, valuation, and output charts. We look at how much money this business has to raise based on its business plan and model out each year of cash flow.
  • Mining Financial Model & Valuation: Master the art of building a financial model to value a mining company, complete with assumptions, financials, valuation, sensitivity analysis, and output charts. In this course, we work through a case study of a real mining valuation for an asset by pulling information from the Feasibility Study, inputting it into Excel, building a forecast, and valuing the asset.
  • Mergers & Acquisitions (M&A) Modeling: This advanced financial modeling course is for professionals working in investment banking, corporate development, private equity, and other areas of corporate finance that deal with analyzing M&A transactions.
  • Leveraged Buyout LBO Modeling: Learn to build an LBO model from scratch in CFI’s leveraged buyout modeling course. This advanced class covers how to set up and build an LBO model step-by-step. This includes assumptions, financing, forecast income statement, balance sheet, cash flow, debt schedule, DCF, IRR, sensitivity analysis, error checks, all formulas, functions, and formatting.
  • Corporate & Business Strategy: Strategy matters to all operating companies, as it is a major determinant of the success of their business. This course will cover important terminologies, theories, concepts, and frameworks on strategy. The course guides you through a comprehensive strategic analysis process and demonstrates the application of theories into real-world business situations.
  • Financial Modeling Templates: Templates and financial models to download include: 3 statement model, DCF model, budgeting/forecasting model, consolidation model, acquisition model, LBO model, M&A model, industry-specific financial models, comparable company analysis and precedent transaction analysis.
  • Behavioral Finance Fundamentals: Behavioural finance is the study of the influence of psychology on the behavior of financial practitioners. You will learn about decision making biases and information processing errors that influence our financial decision making.
  • Financial Modeling using VBA: This four-part course provides participants with the skills needed to incorporate Visual Basic for Applications (VBA) into financial models. This is valuable to those who build financial models in Excel and are looking for a thorough introduction to VBA.

Visit our Partner Page to see other great resources! https://www.bionicturtle.com/partner-products/

Udemy | Online Courses

Udemy is the leading global marketplace for online learning, connecting students everywhere to the world’s best instruction anywhere. By connecting students all over the world to the best instructors, Udemy is helping individuals reach their goals and pursue their dreams.

Udemy instructors come from virtually every country and offer online courses in 50+ languages on practically any topic. Udemy helps organizations of all kinds prepare for the ever-evolving future of work. Their curated collection of top-rated business and technical courses gives companies the power to develop in-house expertise and satisfy employees’ hunger for learning and development.

Finance & Accounting:

Data Science:

Development:

IT and Software:

Math: 

View all of the courses that Udemy offers on their website: http://www.udemy.com

View all of our partners here on our website: https://www.bionicturtle.com/partner-products/

Coursera | Online Courses | Degrees | Specializations

Coursera provides universal access to the world’s best education, partnering with top universities and organizations to offer courses online. Coursera’s mission is to connect the world to a great education and let people learn without limits.

  • Courses: Every course on Coursera is taught by top instructors from the world’s best universities and educational institutions. Courses include recorded video lectures, auto-graded and peer-reviewed assignments, and community discussion forums. When you complete an online course, you’ll receive a sharable electronic Course Certificate.
  • Specializations: If you want to master a specific career skill, consider joining a Specialization. You’ll complete a series of rigorous courses, tackle hands-on projects based on real business challenges, and earn a Specialization Certificate to share with your professional network and potential employers.
  • Online Degrees: Real career transformation sometimes requires a university-recognized degree. Coursera believes that transformation should be accessible to everyone, so we’ve worked with our university partners to offer flexible, affordable online degree programs in business, computer science, and data science.

Increase your knowledge in the following areas:

Earn your degree in the following areas:

 

View everything that Coursera has to offer on their website: https://www.coursera.com

View our other Partner Products here: https://www.bionicturtle.com/partner-products/

Carol Alexander | Market Risk Analysis, Quantitative Methods in Finance (Volume I)

Carol Alexander | Volume I: Quantitative Methods in Finance is one in a series of four volumes.

Written by leading market risk academic, Professor Carol Alexander, Quantitative Methods in Finance forms part one of the Market Risk Analysis four-volume set. Starting from the basics, this book helps readers to take the first step towards becoming a properly qualified financial risk manager and asset manager, roles that are currently in huge demand. Accessible to intelligent readers with a moderate understanding of mathematics at high school level or to anyone with a university degree in mathematics, physics or engineering, no prior knowledge of finance is necessary. Instead, the emphasis is on understanding ideas rather than on mathematical rigour, meaning that this book offers a fast-track introduction to financial analysis for readers with some quantitative background, highlighting those areas of mathematics that are particularly relevant to solving problems in financial risk management and asset management. Unique to this book is a focus on both continuous and discrete-time finance so that Quantitative Methods in Finance is not only about the application of mathematics to finance; it also explains, in very pedagogical terms, how the continuous-time and discrete-time finance disciplines meet, providing a comprehensive, highly accessible guide which will provide readers with the tools to start applying their knowledge immediately.

All together, the Market Risk Analysis four volume set illustrates virtually every concept or formula with a practical, numerical example or a longer, empirical case study. Across all four volumes, there are approximately 300 numerical and empirical examples, 400 graphs and figures and 30 case studies many of which are contained in interactive Excel spreadsheets available from the accompanying CD-ROM . Empirical examples and case studies specific to this volume include:

  • Principal component analysis of European equity indices;
  • Calibration of Student t distribution by maximum likelihood;
  • Orthogonal regression and estimation of equity factor models;
  • Simulations of geometric Brownian motion, and of correlated Student t variables;
  • Pricing European and American options with binomial trees, and European options with the Black-Scholes-Merton formula;
  • Cubic spline fitting of yields curves and implied volatilities;
  • Solution of Markowitz problem with no short sales and other constraints;
  • Calculation of risk-adjusted performance metrics including generalised Sharpe ratio, omega and kappa indices.

Carol Alexander | Market Risk Analysis, Practical Financial Econometrics (Volume II)

Written by leading market risk academic, Professor Carol Alexander, Practical Financial Econometrics forms part two of the Market Risk Analysis four-volume set. It introduces the econometric techniques that are commonly applied to finance with a critical and selective exposition, emphasising the areas of econometrics, such as GARCH, cointegration, and copulas that are required for resolving problems in market risk analysis. The book covers material for a one-semester graduate course in applied financial econometrics in a very pedagogical fashion as each time a concept is introduced an empirical example is given, and whenever possible this is illustrated with an Excel spreadsheet.

All together, the Market Risk Analysis four volume set illustrates virtually every concept or formula with a practical, numerical example or a longer, empirical case study. Across all four volumes, there are approximately 300 numerical and empirical examples, 400 graphs and figures and 30 case studies many of which are contained in interactive Excel spreadsheets available from the accompanying CD-ROM . Empirical examples and case studies specific to this volume include:

  • Factor analysis with orthogonal regressions and using principal component factors;
  • Estimation of symmetric and asymmetric, normal and Student t GARCH and E-GARCH parameters;
  • Normal, Student t, Gumbel, Clayton, normal mixture copula densities, and simulations from these copulas with application to VaR and portfolio optimization;
  • Principal component analysis of yield curves with applications to portfolio immunization and asset/liability management;
  • Simulation of normal mixture and Markov switching GARCH returns;
  • Cointegration based index tracking and pairs trading, with error correction and impulse response modeling;
  • Markov switching regression models (Eviews code);
  • GARCH term structure forecasting with volatility targeting;
  • Non-linear quantile regressions with applications to hedging.

Carol Alexander | Market Risk Analysis, Pricing, Hedging and Trading Financial Instruments (Volume III)

Written by leading market risk academic, Professor Carol Alexander, Pricing, Hedging, and Trading Financial Instruments forms part three of the Market Risk Analysis four-volume set. This book is an in-depth, practical and accessible guide to the models that are used for pricing and the strategies that are used for hedging financial instruments, and to the markets in which they trade. It provides a comprehensive, rigorous and accessible introduction to bonds, swaps, futures and forwards and options, including variance swaps, volatility indices, and their futures and options, to stochastic volatility models and to modeling the implied and local volatility surfaces.

All together, the Market Risk Analysis four volume set illustrates virtually every concept or formula with a practical, numerical example or a longer, empirical case study. Across all four volumes there are approximately 300 numerical and empirical examples, 400 graphs and figures and 30 case studies many of which are contained in interactive Excel spreadsheets available from the accompanying CD-ROM . Empirical examples and case studies specific to this volume include:

  • Duration-Convexity approximation to bond portfolios, and portfolio immunization;
  • Pricing floaters and vanilla, basis and variance swaps;
  • Coupon stripping and yield curve fitting;
  • Proxy hedging, and hedging international securities and energy futures portfolios;
  • Pricing models for European exotics, including barriers, Asians, look-backs, choosers, capped, contingent, power, quanto, compo, exchange, ‘best-of’ and spread options;
  • Libor model calibration;
  • Dynamic models for implied volatility based on principal component analysis;
  • Calibration of stochastic volatility models (Matlab code);
  • Simulations from stochastic volatility and jump models;
  • Duration, PV01, and volatility invariant cash flow mappings;
  • Delta-gamma-theta-vega mappings for options portfolios;
  • Volatility beta mapping to volatility indices.

Carol Alexander | Market Risk Analysis, Value at Risk Models (Volume IV)

Written by leading market risk academic, Professor Carol Alexander, Value-at-Risk Models forms part four of the Market Risk Analysis four-volume set. Building on the three previous volumes this book provides by far the most comprehensive, rigorous and detailed treatment of market VaR models. It rests on the basic knowledge of financial mathematics and statistics gained from Volume I, of factor models, principal component analysis, statistical models of volatility and correlation and copulas from Volume II and, from Volume III, knowledge of pricing and hedging financial instruments and of mapping portfolios of similar instruments to risk factors. A unifying characteristic of the series is the pedagogical approach to practical examples that are relevant to market risk analysis in practice.

All together, the Market Risk Analysis four volume set illustrates virtually every concept or formula with a practical, numerical example or a longer, empirical case study. Across all four volumes there are approximately 300 numerical and empirical examples, 400 graphs and figures and 30 case studies many of which are contained in interactive Excel spreadsheets available from the accompanying CD-ROM . Empirical examples and case studies specific to this volume include:

  • Parametric linear value at risk (VaR)models: normal, Student t and normal mixture and their expected tail loss (ETL);
  • New formulae for VaR based on autocorrelated returns;
  • Historical simulation VaR models: how to scale historical VaR and volatility adjusted historical VaR;
  • Monte Carlo simulation VaR models based on multivariate normal and Student t distributions, and based on copulas;
  • Examples and case studies of numerous applications to interest rate sensitive, equity, commodity and international portfolios;
  • Decomposition of systematic VaR of large portfolios into standard alone and marginal VaR components;
  • Backtesting and the assessment of risk model risk;
  • Hypothetical factor push and historical stress tests, and stress testing based on VaR and ETL.