Showing posts with label Financial Analysis. Show all posts
Showing posts with label Financial Analysis. Show all posts
The Complete Financial Analyst Course 2025
Friday, October 24, 2025
The Complete Financial Analyst Course 2025 - Excel, Accounting, Financial Statement Analysis, Business Analysis, Financial Math, PowerPoint: Everything is Included!
What you'll learn
- Work comfortably with Microsoft Excel
- Format spreadsheets in a professional way
- Be much faster carrying out regular tasks
- Create professional charts in Microsoft Excel
- Work with large amounts of data without difficulty
- Understand Accounting and Bookkeeping principles
- Build a company’s P&L from scratch
- Build a company’s Balance sheet from scratch
- Perform Financial statement analysis
- Understand the importance of timing in terms of revenue and cost recognition
- Calculate Liquidity, Solvency, Profitability, and Growth ratios to analyze a company’s performance
- Understand 10-K reports
- Assess whether a project is feasible through the Net present value technique
- Calculate a complete loan schedule
- Understand the difference between variable and fixed interest rates
- Perform industry analysis
- Understand what drives a company’s value
- Know how to analyze a business
- Work comfortably with Microsoft PowerPoint
- Create professional company presentations in PowerPoint
- Become a successful Financial Analyst in no time – if you follow the course fully!
Requirements
- Absolutely no experience is required. We will start from the basics and gradually build up your knowledge. Everything is in the course.
- You will need Microsoft Excel 2010, 2013, 2016, or 2020
- You will need Microsoft PowerPoint 2010, 2013, 2016, or 2020
Description
** Updated for November 2021! **
"If you’re trying to prepare for an eventual career in finance, but are still looking to round out your knowledge of the subject, The Complete Financial Analyst Course might be a perfect fit for you.", Business Insider
"A Financial Analyst Career is one of the top-paying entry-level jobs on the market.”
"Even in the toughest job markets, the best candidates find great positions.", Forbes
You simply have to find a way to acquire practical skills that will give you an edge over the other candidates.
But how can you do that?
You haven’t had the proper training, and you have never seen how analysts in large firms do their work ...
Stop worrying, please! We are here to help.
The Complete Financial Analyst Course is the most comprehensive, dynamic, and practical course you will find online.
It covers several topics, which are fundamental for every aspiring Financial Analyst:
Microsoft Excel for Beginner and Intermediate Users: Become Proficient with the world’s #1 productivity software
Accounting, Financial Statements, and Financial Ratios: Making Sense of Debits and Credits, Profit and Loss statements, Balance Sheets, Liquidity, Solvency, Profitability, and Growth Financial Ratios
Finance Basics: Interest Rates, Financial Math Calculations, Loan Calculations, Time Value of Money, Present and Future Value of Cash Flows
Business Analysis: Understanding what drives a Business, Key Items to be Analyzed and their Meaning, the Importance of Industry Cycles, Important Drivers for the Business of Startup, Growth, Mature and Declining Companies, Important Drivers for an Industry
Capital Budgeting: Decide whether a company's project is feasible from a financial perspective and be able to compare between different investment opportunities
Microsoft PowerPoint for Beginner and Intermediate Users: The #1 tool for visual representation of your work, a necessary skill for every Financial Analyst
As you can see, this is a complete bundle that ensures you will receive the right training for each critical aspect.
Here comes the fun part!
We have a challenge for you! After covering each major roadblock, you will be asked to solve a challenge. You will:
Calculate a company’s sales in Excel
Register its bookkeeping entries and produce useful financial statements + calculate financial ratios
Calculate a complete loan schedule for the company’s debt
Analyze the company’s business performance
Create a PowerPoint presentation based on the results
Receive personalized feedback
Participate in our monthly Amazon Gift Card Lottery(!)
Sounds interesting, right?
At the end of the challenge, you will send us the work you’ve done, and we will reply with personalized feedback. This makes for an interactive student experience that optimizes what you will learn from the course.
What makes this course different from the rest of the Finance courses out there?
High quality of production: HD video and animations (this isn’t a collection of boring lectures!)
Knowledgeable instructor (experience in companies like Pwc and Coca-Cola)
Complete training: We will cover all major topics and skills you need to become a top-class Financial Analyst
Extensive Case Studies: To help you reinforce everything you’ve learned
Course Challenge: Solve our Course Challenge and make this course an interactive experience
Excellent support: If you don’t understand a concept or you simply want to drop us a line, you’ll receive an answer within 1 business day
Dynamic: We don’t want to waste your time! The instructor keeps up a very good pace throughout the whole course
Why should you consider a career as a Financial Analyst?
Salary. A Financial Analyst job usually leads to a very well-paid career
Promotions. Financial Analysts acquire valuable technical skills, which makes them the leading candidates for senior roles within a corporation
Secure Future. There is high demand for Financial Analysts on the job market, and you won’t have to be concerned about finding a job
Growth. This isn’t a boring job. Every day, you will face different challenges that will test your existing skills
Please don’t forget that the course comes with Udemy’s 30-day unconditional, money-back-in-full guarantee. And why not give such a guarantee, when we are convinced the course will provide a ton of value for you?
Just go ahead and subscribe to this course! If you don't acquire these skills now, you will miss an opportunity to separate yourself from the others. Don't risk your future success! Let's start learning together now!
Who this course is for:
- People who want a successful career in Finance
- Anyone who wants to learn the practical skills of Financial analysis
- People who are ambitious and want to learn faster than their peers
The Complete Financial Analyst Training & Investing Course
Wednesday, May 28, 2025
Free Coupon Discount - The Complete Financial Analyst Training & Investing Course, Succeed as a Financial Analyst &Investor by Award Winning MBA Prof who worked @Goldman, in Hedge Funds & Venture Capital
- BESTSELLER
- 4.5 (10,652 ratings)
- Created by Chris Haroun, Complete Business Education with Chris Haroun
- English [Auto-generated], Indonesian [Auto-generated], 5 more
Preview this Udemy Course - GET COUPON CODE
Description
#1 Best Selling Investing Course on Udemy! Welcome to The COMPLETE Financial Analyst Training and Investing Course by the author of the best selling business course on Udemy, an award winning professor, Columbia MBA graduate, former Goldman, hedge fund founder, venture capitalist, TEDx Talk speaker, author & entrepreneur featured in Forbes, Business Insider, Wired and Venture Beat.
I guarantee that this is THE most thorough financial analyst course available ANYWHERE on the market - or your money back. This is the most thorough and longest course I have ever made and anyone can take it and see remarkable improvements in how competitive they are in the finance industry as a financial analyst or as an investor.
CONGRATULATIONS! You have just been hired by Morgan Haroun Sachs Company (MHS), which is the world's #1 (pretend) finance company. You will be going through our new hire Financial Analyst Training Program boot camp. You will learn a lot about finance in this training program with NO THEORY as you will be dealing with the employees and clients of our firm MHS Company in edutaining interactive case studies.
This course is taught by Chris Haroun who also went through the Goldman Sachs financial analyst training program as well as the new hire training programs of other top finance companies. Chris has also started his own hedge fund and venture capital firms and is an award winning MBA school professor. He teaches based on real life practical experience.
Do you have what it takes to complete this 22+ hour comprehensive finance training program? I'll see you on the other side.
What Will You Learn in this Finance Bootcamp Course?
How to pick stocks.
Become an expert in Excel for financial analysts.
How an IPO works.
How to manage a portfolio.
How to build financial models.
How to get hired and promoted as a financial analyst.
How risk management works.
How to use technical analysis.
How to value companies.
Use and create Excel based templates developed by Chris to help you create financial statements from scratch (meaning income statements, balance sheets, cash flow statements and more).
Use and create Excel based templates developed by Chris to help you value companies using several different valuation methodologies, including P/E, P/R and Discounted Cash Flow (DCF).
Use and create Excel based templates developed by Chris to help you manage a portfolio.
How Monetary Policy works.
How Fiscal Policy works.
How interest rates are changed and why this is crucial to understand for successful financial analysts.
How to pitch long and short ideas to portfolio managers.
How to find great venture capital investment ideas.
How to come up with mutual fund investment ideas (longs - meaning buys) using an easy to understand top down and bottoms up research process.
How to come up with hedge fund investment ideas (longs and shorts) using an easy to understand top down and bottoms up research process.
Identify crucial catalysts (timed events) in order to know when the optimal time is to buy or short a stock.
Understand how investment banks (the 'Sell Side') can help you be more successful in a hedge fund or mutual fund career.
Analyze and understand an income statement (even if you have no experience with income statements).
Analyze and understand a balance sheet (even if you have no experience with balance sheets).
Analyze and understand a cash flow statement (even if you have no experience with cash flow statements).
Understand and use modeling best practices so you can create financial models.
Know where to get data in order to build a financial model (in depth understanding of identifying and using/navigating the best free websites and sources to build your financial model)!
Create a financial model (projecting the future) for an income statement.
Create a financial model (projecting the future) for a balance sheet.
Create a financial model (projecting the future) for a cash flow statement.
Understand valuation best practices so you can create target prices based on your financial models.
How to use Discounted Cash Flow (DCF) and how to create the Weighted Average Cost of Capital and Terminal values in order to pick target prices.
How to use P/E in order to pick target prices.
How to use P/R in order to pick target prices.
Other valuation methodologies, including EV/Sales, EV/EBITDA, P/B, EV/FCF, etc.
Come up with a target price based on an average of several different valuation methodologies.
Learn about 14 different Financial Analyst jobs and how they overlap and work together (including Investment Banking, Venture Capital, Private Equity, Private Wealth Management etc.).
Investment Banking: Understand from a high level perspective what an Investment Bank is as well as what the role/job is of an Investment Banking Financial Analyst, including the pros and cons.
Venture Capital: Understand from a high level perspective what a Venture Capital firm is as well as what the role/job is of a Venture Capital Financial Analyst, including the pros and cons.
Private Equity: Understand from a high level perspective what a Private Equity firm is as well as what the role/job is of a Private Equity Financial Analyst, including the pros and cons.
Private Wealth Management: Understand from a high level perspective what a Private Wealth Management firm is as well as what the role/job is of a Private Wealth Management Financial Analyst, including the pros and cons.
Sell Side Research Analyst: Understand from a high level perspective what a Sell Side Research Analyst’s firm is as well as what the role/job is of a Sell Side Research Financial Analyst, including the pros and cons.
Sales Trader: Understand from a high level perspective what a Sales Trader’s firm is as well as what the role/job is of a Sales Trader Financial Analyst, including the pros and cons.
Buy Side Trader: Understand from a high level perspective what a Buy Side Trader’s firm is as well as what the role/job is of a Buy Side Trader Financial Analyst, including the pros and cons.
Mutual Fund: Understand from a high level perspective what a Mutual Fund is as well as what the role/job is of a Mutual Fund Financial Analyst, including the pros and cons.
Sell Side Trader: Understand from a high level perspective what a Sell Side Trader’s firm is as well as what the role/job is of a Sell Side Trader Financial Analyst, including the pros and cons.
Large Non Finance Company: Understand from a high level perspective what a Large Non Finance Company firm is as well as what the role/job is of a Large Non Finance Company Financial Analyst, including the pros and cons.
Equity Capital Markets: Understand from a high level perspective what an Equity Capital Markets’ firm is as well as what the role/job is of a Equity Capital Markets Financial Analyst, including the pros and cons.
Hedge Fund: Understand from a high level perspective what a Hedge Fund is as well as what the role/job is of a Hedge Fund Financial Analyst, including the pros and cons.
Equity Sales: Understand from a high level perspective what an Equity Sales’ firm is as well as what the role/job is of an Equity Sales Financial Analyst, including the pros and cons.
Tech / Artificial Intelligence: Understand from a high level perspective what a Tech / Artificial Intelligence’s firm is as well as what the role/job is of a Tech / Artificial Intelligence Financial Analyst, including the pros and cons.
Learn what finance role you are most passionate about pursuing.
This course is based on my real life practical experience starting hedge funds, venture capital firms, working on Wall Street, starting finance companies and much more.
Thanks,
Chris
Who this course is for:
Anyone that wants to be a financial analyst at any type of finance firm for any type of finance role (including investment banking, venture capital, equity research, hedge funds, mutual funds, trading, private equity, equity capital markets, private wealth management and many other roles..we discuss 14 finance roles in this comprehensive course).
Anyone interested in becoming a better investor, stock picker, portfolio manager, analyst and much more.
100% Off Udemy Coupon . Free Udemy Courses . Online Classes
Financial Engineering and Artificial Intelligence in Python
Thursday, September 12, 2024
Financial Engineering and Artificial Intelligence in Python - Financial Analysis, Time Series Analysis, Portfolio Optimization, CAPM, Algorithmic Trading, Q-Learning, and MORE!
- Bestseller
- Created by Lazy Programmer Team, Lazy Programmer Inc.
- English [Auto]
Online Courses Udemy GET COUPON CODE
What you'll learn
- Forecasting stock prices and stock returns
- Time series analysis
- Holt-Winters exponential smoothing model
- ARIMA
- Efficient Market Hypothesis
- Random Walk Hypothesis
- Exploratory data analysis
- Alpha and Beta
- Distributions and correlations of stock returns
- Modern portfolio theory
- Mean-Variance Optimization
- Efficient frontier, Sharpe ratio, Tangency portfolio
- CAPM (Capital Asset Pricing Model)
- Q-Learning for Algorithmic Trading
Description
Have you ever thought about what would happen if you combined the power of machine learning and artificial intelligence with financial engineering?
Today, you can stop imagining, and start doing.
This course will teach you the core fundamentals of financial engineering, with a machine learning twist.
We will cover must-know topics in financial engineering, such as:
Exploratory data analysis, significance testing, correlations, alpha and beta
Time series analysis, simple moving average, exponentially-weighted moving average
Holt-Winters exponential smoothing model
ARIMA and SARIMA
Efficient Market Hypothesis
Random Walk Hypothesis
Time series forecasting ("stock price prediction")
Modern portfolio theory
Efficient frontier / Markowitz bullet
Mean-variance optimization
Maximizing the Sharpe ratio
Convex optimization with Linear Programming and Quadratic Programming
Capital Asset Pricing Model (CAPM)
Algorithmic trading (VIP only)
Statistical Factor Models (VIP only)
Regime Detection with Hidden Markov Models (VIP only)
In addition, we will look at various non-traditional techniques which stem purely from the field of machine learning and artificial intelligence, such as:
Regression models
Classification models
Unsupervised learning
Reinforcement learning and Q-learning
***VIP-only sections (get it while it lasts!) ***
Algorithmic trading (trend-following, machine learning, and Q-learning-based strategies)
Statistical factor models
Regime detection and modeling volatility clustering with HMMs
We will learn about the greatest flub made in the past decade by marketers posing as "machine learning experts" who promise to teach unsuspecting students how to "predict stock prices with LSTMs". You will learn exactly why their methodology is fundamentally flawed and why their results are complete nonsense. It is a lesson in how not to apply AI in finance.
As the author of ~30 courses in machine learning, deep learning, data science, and artificial intelligence, I couldn't help but wander into the vast and complex world of financial engineering.
This course is for anyone who loves finance or artificial intelligence, and especially if you love both!
Whether you are a student, a professional, or someone who wants to advance their career - this course is for you.
Thanks for reading, I will see you in class!
Suggested Prerequisites:
Matrix arithmetic
Probability
Decent Python coding skills
Numpy, Matplotlib, Scipy, and Pandas (I teach this for free, no excuses!)
WHAT ORDER SHOULD I TAKE YOUR COURSES IN?:
Check out the lecture "Machine Learning and AI Prerequisite Roadmap" (available in the FAQ of any of my courses, including the free Numpy course)
Who this course is for:
Anyone who loves or wants to learn about financial engineering
Students and professionals who want to advance their career in finance or artificial intelligence and machine learning
Financial Analysis and Financial Modeling using MS Excel
Wednesday, May 29, 2024
Perform financial analysis & financial modeling using Microsoft excel. For people who want to become a Financial Analyst
"Financial Analysis and Financial Modeling using MS Excel" sounds like a practical and valuable course for individuals interested in finance, accounting, or investment analysis. Here's how such a course might be structured:
1. **Introduction to Financial Analysis**: This section could cover the basic principles of financial analysis, including financial statements (income statement, balance sheet, cash flow statement), financial ratios, and key performance indicators (KPIs).
2. **Excel Fundamentals for Finance**: Participants would learn essential Excel functions and tools relevant to financial analysis, such as formulas, functions (e.g., SUM, IF, VLOOKUP), data manipulation techniques, and data visualization using charts and graphs.
3. **Financial Modeling Basics**: This module might introduce the concept of financial modeling, including building dynamic financial models in Excel, forecasting techniques, and sensitivity analysis.
4. **Valuation Techniques**: Participants would learn various valuation methods used in finance, such as discounted cash flow (DCF) analysis, comparable company analysis (CCA), and precedent transactions analysis (PTA).
5. **Advanced Excel for Financial Modeling**: This section could delve into more advanced Excel features and techniques specific to financial modeling, including scenario analysis, goal seeking, and creating macros for automation.
6. **Risk Analysis and Management**: Participants would explore techniques for assessing and managing financial risk, including value at risk (VaR), Monte Carlo simulation, and stress testing.
7. **Case Studies and Practical Applications**: The course could include real-world case studies and practical exercises where participants apply their Excel skills to analyze financial data, build financial models, and make informed business decisions.
8. **Final Project**: To demonstrate their mastery of the course material, participants could complete a final project that involves developing a comprehensive financial model for a hypothetical company or investment opportunity.
Overall, this course would provide a solid foundation in financial analysis and modeling techniques using MS Excel, equipping participants with valuable skills for careers in finance, accounting, investment banking, and corporate finance.
Python for Finance 2021: Financial Analysis for Investing
Wednesday, June 1, 2022
Python for Finance 2021: Financial Analysis for Investing - Use Python to Find Good Investments. Learn Pandas, NumPy, Matplotlib for Financial Analysis & Automate Value Investing.
What you'll learn
- How to automate financial analysis with Python using Pandas and Numpy
- Learn to find attractive companies to invest in using fundamental analysis with Pandas
- Identify when to buy and sell stocks based on technical analysis using Pandas and Numpy
- Export your financial analysis to Excel in formatted multi sheets
- How to calculate a fair price (intrinsic value) of a stock with Python using Pandas
- Introduction to Pandas, Numpy and Visualization of financial data
- Use Monte Carlo simulation to optimize your portfolio allocation
- Understand risk when buying stock shares
- Learn how to evaluate an investment to lower the risk
- Learn about Intrinsic value, Market value, Book value, and Shares
- Master the concepts Dividend, Earnings per share (EPS), Price/Earnings (PE) ratio, and Volume Yield
- Cover a Python Crash Course with all the basic Python
- How to use DataFrames for financial analysis
- Use Matplotlib to visualize DataFrames with time series data
- How to join, merge and concatenate DataFrame
- Export data from Python to Excel in nice colorful sheets with charts
- Calculate concrete intrinsic values (a fair price to buy a stock for) for 50 companies
- Read and interpret Dept/Equity (DE) ratio, Current ratio, Return of Investment (ROI) and more
- Use revenue, Earnings-per-share (EPS), and Book value to determine if a company is predictable and worth investing in.
- How to use Price/Earnings (PE) ratio to make calculations
- How to use Pandas Datareader to read data directly form API of financial pages
- To read financial statements from API's
- Web scraping of pages and how to convert data to correct format and types
- How to calculate rate of return (RoR), percentage change, and to normalize stock price data
- Understand and learn to calculate the CAGR (Compound Annual Growth Rate)
- A deep dive case study of DOW theory
- How to calculate technical indicators, like, Moving Average (MA), MACD, Stochastic Oscillator, and more
- Make financial calculations with NumPy
- Calculate with vectors and matrices using NumPy
- How to calculate the Volatility of a stock
- Correlation and Linear Regression between securities between investments
- How the Beta is used and how to calculate it
- Deep dive into using CAPM
- Optimize your portfolio of investments
- Learn what Sharpe Ratio is and how to use it
- How to use Monte Carlo Simulation to simulate random variables
- Use Sharpe Ratio and Monte Carlo Simulation to calculate the Efficient Frontier
- Advice on next books to read about investing
Description
Did you know that the No.1 killer of investment return is emotion?
Investors should not let fear or greed control their decisions.
How do you get your emotions out of your investment decisions?
A simple way is to perform objective financial analysis and automate it with Python!
Why?
Performing financial analysis makes your decisions objective - you are not buying companies that your analysis did not recommend.
Automating them with Python ensures that you do not compromise because you get tired of analyzing.
Finally, it ensures that you get all the calculation done correctly in the same way.
Does this sound interesting?
Do you want to learn how to use Python for financial analysis?
Find stocks to invest in and evaluate whether they are underpriced or overvalued?
Buy and sell at the right time?
This course will teach you how to use Python to automate the process of financial analysis on multiple companies simultaneously and evaluate how much they are worth (the intrinsic value).
You will get started in the financial investment world and use data science on financial data.
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Why should you enroll in this course?
Over 3,000 students have signed up within the first week of the course going live!
Making investment decisions is like playing poker without looking at your cards if you don't know what you are doing.
You don't want to buy stocks in a company you did not analyze first.
This is the only course that takes you through the full process from finding attractive investments and how to time your first buy.
Similarly, you do not buy a house without looking at the condition report.
How to see if a company will grow in value, to avoid falling stock prices the day after you buy it.
This course does not assume you have a portfolio and want to optimize it - it will help you find the stocks to invest in first.
It gives you a solid foundation to invest with confidence and stop gambling.
Learn that making financial analysis on companies is not that difficult and can be automated with Python.
The market crashed in 2020 without any warning - some companies came in quickly, others did not.
Be sure to invest in companies with a solid economy and a growth market.
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Early reviews
"Excellent course, everything is brilliantly explained, step by step with exercices, practical example and it seems that further on the course it will be real world example. I'm about 25% in the course, it was so exciting that I encouraged one of my friend to signup in the course. I already followed all other Rune's great courses, and this one, for me is the best among them. Also, in every Rune's course, he answer quickly for all single question with detail, this one followed the rules. For me it's one of the best instructors here on Udemy, I have enrolled in many other best instructors course here, and Rune is definitely one of them." - Adel
"Accurate and very detailed" - Moshe
"good course!" - Richard
"Starting good... can't wait for more." - Swietopelk
"Really engaging instructor." - Edwin
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How is this course structured?
This course will guide you through how to install the necessary software (Anaconda) - it's all free.
It will cover how to use Jupyter Notebook (from Anaconda package) if you are not completely familiar with it.
A crash course in Python if you need an update or come from a different programming background.
Then it starts by introducing financial concepts along with Python programming to fully understand them.
This includes understanding of stocks, volume, dividends, returns, market price, price to earnings (EPS), price to earnings (PE ratio), book value and more.
A deep introduction to Pandas, the most important library used for financial analysis with Python.
It will cover DataFrames, Series, read and write data, export to Excel, merge, join and link data and much more.
The concept of intrinsic value (a fair stock price to pay) - this is the most important concept to understand when investing.
How the risk of investment is understood and how to assess it for a company.
This is how the management of a company is assessed in an objective way.
This will include learning about debt-to-equity ratio (DE ratio), current assets, return of investment (ROI), revenue evaluation, earnings per share (EPS) evaluation, book value evaluation, free-cash-flow (FCF) evaluation and more.
This teaches you how to calculate a fair price (intrinsic value) to be paid for a company.
Matplotlib is introduced and how it can be used to visualize data for efficient data interpretation.
We visualize data and export it to color-formatted Excel sheets - all from Python.
You will learn to use free APIs to read up-to-date data on stock quotes and financial statements.
Then we dive deeper and work with historical time series data on stock prices.
This teaches you rate of return, percentage change, and normalization.
How to calculate and use the Compound Annual Growth Rate (CAGR).
There will be a case study on DOW theory.
Next, we will examine and calculate technical indicators such as moving averages (MA), MACD, stochastic oscillator and RSI, and how to use them to buy and sell.
We introduce NumPy to perform further analyzes.
This will help us calculate and understand the volatility of a stock.
Also, correlation between stocks, linear regression, beta, CAPM, and more.
How to work with a full portfolio.
This includes concepts like Sharpe ratio, Monte Carlo Simulation, Efficient Frontier and more.
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This course has
21 hours of video in 180+ lectures.
Exercises are prepared in Jupyter Notebooks.
Links to useful resources along the way.
Explains all concepts in an easy way with real examples.
Udemy has a refund guarantee with a 30 day money back guarantee that ensures if you are not satisfied, you will get your money back. Also, feel free to contact me directly if you have any questions.
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About the instructor
Rune is a Ph.D. in computer science with a background in Python programming. He has taken an MBA from Henley Business School in the UK to study business administration and economics. Rune has been teaching programming and computer science since college. He has other best-selling courses at Udemy.
Who this course is for:
- Someone that wants to learn about financial analysis with Python
- Anyone that wants to start data science on financial data
- Programmers that want to learn about finance and investing
Statistics for Finance
Monday, May 30, 2022
Statistics for Finance - Learn core probability and statistics with Python tools and real applications in finance and business
- New
Description
Level up your statistics skills for your career in finance with this course in core statistics and finance and business applications. Statistics is the core subject providing the foundation for analysis in all areas of finance. This course, designed and produced by a seasoned financial practitioner, and former math professor, delivers you to the forefront of cutting edge quantitative techniques used in the finance industry worldwide.
This course assumes no knowledge of statistics or finance. From a basic foundation of only high school math this course will elevate you to the forefront of quantitative and computational tools for modelling financial markets, analyzing financial products, and managing risk.
What You Will Learn
This course provides a thorough grounding in the probability foundations of statistics. The core topics of statistics, estimation, hypothesis testing, and confidence intervals, are treated in full depth. Modern statistics methods are applied to real problems from finance.
Some of the topics covered in this course include
Discrete and combinatorial probability
The binomial, normal, exponential, and chi-square distributions
Mixed normal distributions
Mean, variance, skewness, and kurtosis
Location, scale, and shape parameters
Law of large numbers
Central limit theorem
Maximum likelihood estimation
Method of moments
Hypothesis testing
Significance level, size, and power of tests
Confidence bounds and intervals
Stationarity and structural breaks in financial time series
Modelling the distributions of financial returns
Includes Python Tools
Python based tools are included for working with probability distributions, for analyzing data, and providing implementations of modern statistical algorithms. All software that is part of this course is released under a permissive MIT license, so students are free to take these tools with them and use them in their future careers, include them in their own projects, whether open source or proprietary, anything you want!
So Sign Up Now!
Accelerate your career by taking this course and advancing your skills in statistics for finance and business. With more than 20 hours of lectures, extensive problem sets, and Python codes implementing modern statistics methods, not to mention a 30 day money back guarantee, you can't go wrong!
Who this course is for:
- Finance students and working financial professionals who want to level up their statistics skills
- Students in any area where statistics are used who would like to learn statistics with an emphasis on applications
Investment Analysis & Portfolio Management - Core Finance
Friday, September 3, 2021
Investment Analysis & Portfolio Management - Core Finance - Financial Analysis Done Right - Rigorously Analyse Investments & Manage Portfolios using Excel® & Google Sheets
- Created by Fervent #LearnWithDistinction, Support from Fervent
- English [Auto]
What you'll learn
- Calculate stock returns manually as well as on Excel and Google Sheets, using real world data obtained from free sources.
- Estimate the Expected Returns of Stocks using the Mean Method, State Contingent Weighted Probabilities, as well as Asset Pricing Models.
- Calculate the total risk, market risk, and firm specific risk of stocks from scratch, and explore how the different risks interact.
- Understand why the math works, and why equations work the way they do - even if your math is weak and if math freaks you out.
- Witness the power of diversification and how the risk of your portfolio can be lower than the individual assets that make up the portfolio!
- Measure your investment portfolio's performance by calculating portfolio returns and risks.
- Optimise your portfolios by maximising your returns while minimising your risk.
Description
Say hello to Financial Analysis done right. You'll master sophisticated investment analysis and portfolio management techniques that are rigorously grounded in academic and practitioner literature.
Explore and master powerful relationships between stock prices, returns, and risk. Quantify and measure your investment risk, from scratch.
Discover what your financial advisor should be doing to manage your portfolio - to manage your investments.
Do all of this, and a whole lot more... manually, as well as on Excel® and Google Sheets, working with real world data.
There’s no prior knowledge required. We’ll start you from the very basics, and build you to a financial analysis PRO thanks to:
6 SECTIONS TO MASTERY (plus, all future updates included).
Introduction: Understanding Investment Security Relationships & Estimating Returns
Understanding powerful relationships between risk, return, and price.
Intuitively explore the baseline fundamental law of Financial Analysis - The Law of One Price.
Calculating stock returns for dividend and non-dividend paying stocks, manually.
Downloading and working with real world data, and estimating stock returns on Excel® / Google Sheets.
Estimating Expected Returns
Estimating expected returns using the average (mean) method.
Estimating expected returns using 'state contingent weighted probabilities'.
Estimating expected returns using Asset Pricing Models including the Capital Asset Pricing Model (CAPM).
You'll learn each approach theoretically AND practically, ensuring you fully understand why the formulas work the way they do, and that you're able to download relevant data and conduct the initial financial analysis by computing expected returns for any stock you want.
Understanding and Measuring Risk and Relationships
Estimating the total risk of a stock.
Estimating the market risk of a stock.
As a by-product of learning to measure the market risk, you'll also learn how to quantity the relationships between securities - something that will be a focal theme of portfolio management and investment / financial analysis.
As with the expected returns, you'll learn to measure risk manually as well as on Excel® / Google Sheets. Thanks to a solid understanding of why the equations work the way they do, you'll see how Google Sheets can get things wrong, and what you can do to make sure you conduct financial analysis without incorrect / inaccurate estimates.
Measuring Portfolio Risk and Return
Estimating the return of a 2 asset and multi-asset portfolio.
Measuring the risk of a 2 asset and multi-asset portfolio.
Discover the 3 factors that influence / impact portfolio risk - 1 of which is more important than the other two combined!
Exploring Diversification & Optimisation
Risk reduction by diversification.
Exploring Optimal Diversification - Number of Securities to Hold
Optimising portfolio weights to achieve a target expected return.
Minimising your portfolio risk (mathematically) using robust financial analysis techniques.
Decomposing Diversification
Investigate and explore why, fundamentally, diversification works for financial analysis / investment analysis.
Rethink the way you measure the relationships between securities for financial analysis by extending the current measure.
Explore precisely how and why the most important factor of risk influences / impacts portfolio risk.
DESIGNED FOR DISTINCTION
We've used the same tried and tested, proven to work teaching techniques that've helped our clients ace their exams and become chartered certified accountants, get hired by the most renowned investment banks in the world, and indeed, manage their own portfolios. Here's how we'll help you master financial analysis and turn you into an Investment Analysis & Portfolio Management PRO:
A Solid Foundation
You’ll gain a solid foundation of the core fundamentals that drive the entire investment analysis and portfolio management process. These fundamentals are the essence of financial analysis done right.
Example Walkthroughs
Every major concept is taught with example question walkthroughs, so you can literally see how we analyse investments and conduct rigorous financial analysis, one step at a time.
Loads of Practice Questions
Apply what you learn immediately with 150+ practice questions, all with impeccably detailed solutions.
Cheat Sheets & Resources
Mathematical proofs, one page cheat sheets, workable Excel® & Google Sheet spreadsheets – all included.
Say goodbye to information overload.
Engage with carefully thought out, clutter-free, and engaging study materials that focus on the 20% finance fundamentals that drive 80% of the results.
Easily follow through complex financial analysis concepts with great visuals that don’t overdo it.
Explore byte-sized lectures that don’t cut corners – so you receive the right amount of information which will hold you in good stead wherever you go, whatever you move on to do.
Watch your confidence grow.
Apply what you learn immediately in example question walkthroughs and progressively challenging quizzes with impeccably detailed solutions.
Engage with over 150 questions ranging from simple true and false ones to more complex problems that take you outside your comfort zone.
Questions are relevant for Ivy League / Russell Group University students studying any core Finance / Financial Analysis course, as well as professionals studying for the ICAEW CFAB, ACA, ACCA, and CFA qualifications.
All questions designed in-house, by Russell Group Distinction Tutors.
Finally understand why the math works.
Learn why we divide some variables by something, and multiply other variables by something else. Get past the painful approach of memorising countless equations. Not only will we rip apart each equation one variable at a time, we’ll also give you mathematical proofs that show the equation’s logic one step at a time. Save yourself time and effort by understanding why the equation works the way it does. Then go out and create your own equations, and redefine the way you conduct your own financial analysis.
Rigorously Analyse Investments & Manage Portfolios using Excel® & Google Sheets.
Enroll now and conduct your own financial analysis in a robust manner, from scratch.
Who this course is for:
ACA, ACCA, CFA®, other Professional students
Ivy League / Russell Group University students
Finance Managers keen on applying conceptual techniques including portfolio design.
Investors wanting to work with techniques that are rigorously grounded in academic and practitioner literature.
Analysts, and aspiring Investment Bankers wanting to gain a solid foundation in investment analysis.
Anyone who wants to learn investment analysis and portfolio management!
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The Complete Financial Analyst Course 2020
Friday, January 1, 2021
Free Coupon Discount - The Complete Financial Analyst Course 2020, Excel, Accounting, Financial Statement Analysis, Business Analysis, Financial Math, PowerPoint: Everything is Included! | Created by 365 Careers
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Description
**Updated for April 2020!**
"If you’re trying to prepare for an eventual career in finance, but are still looking to round out your knowledge of the subject, The Complete Financial Analyst Course might be a perfect fit for you.", Business Insider
"A Financial Analyst Career is one of the top-paying entry-level jobs on the market.”
"Even in the toughest job markets, the best candidates find great positions.", Forbes
You simply have to find a way to acquire practical skills that will give you an edge over the other candidates.
But how can you do that?
You haven’t had the proper training, and you have never seen how analysts in large firms do their work ...
Stop worrying, please! We are here to help.
The Complete Financial Analyst Course is the most comprehensive, dynamic, and practical course you will find online.
It covers several topics, which are fundamental for every aspiring Financial Analyst:
Microsoft Excel for Beginner and Intermediate Users: Become Proficient with the world’s #1 productivity software
Accounting, Financial Statements, and Financial Ratios: Making Sense of Debits and Credits, Profit and Loss statements, Balance Sheets, Liquidity, Solvency, Profitability, and Growth Financial Ratios
Finance Basics: Interest Rates, Financial Math Calculations, Loan Calculations, Time Value of Money, Present and Future Value of Cash Flows
Business Analysis: Understanding what drives a Business, Key Items to be Analyzed and their Meaning, the Importance of Industry Cycles, Important Drivers for the Business of Startup, Growth, Mature and Declining Companies, Important Drivers for an Industry
Capital Budgeting: Decide whether a company's project is feasible from a financial perspective and be able to compare between different investment opportunities
Microsoft PowerPoint for Beginner and Intermediate Users: The #1 tool for visual representation of your work, a necessary skill for every Financial Analyst
As you can see, this is a complete bundle that ensures you will receive the right training for each critical aspect.
Here comes the fun part!
We have a challenge for you! After covering each major roadblock, you will be asked to solve a challenge. You will:
Calculate a company’s sales in Excel
Register its bookkeeping entries and produce useful financial statements + calculate financial ratios
Calculate a complete loan schedule for the company’s debt
Analyze the company’s business performance
Create a PowerPoint presentation based on the results
Receive personalized feedback
Receive a gift
Participate in our monthly Amazon Gift Card Lottery(!)
Sounds interesting, right?
At the end of the challenge, you will send us the work you’ve done, and we will reply with personalized feedback. This makes for an interactive student experience that optimizes what you will learn from the course.
What makes this course different from the rest of the Finance courses out there?
High quality of production: HD video and animations (this isn’t a collection of boring lectures!)
Knowledgeable instructor (experience in companies like Pwc and Coca-Cola)
Complete training: We will cover all major topics and skills you need to become a top-class Financial Analyst
Extensive Case Studies: To help you reinforce everything you’ve learned
Course Challenge: Solve our Course Challenge and make this course an interactive experience
Excellent support: If you don’t understand a concept or you simply want to drop us a line, you’ll receive an answer within 1 business day
Dynamic: We don’t want to waste your time! The instructor keeps up a very good pace throughout the whole course
Why should you consider a career as a Financial Analyst?
Salary. A Financial Analyst job usually leads to a very well-paid career
Promotions. Financial Analysts acquire valuable technical skills, which makes them the leading candidates for senior roles within a corporation
Secure Future. There is high demand for Financial Analysts on the job market, and you won’t have to be concerned about finding a job
Growth. This isn’t a boring job. Every day, you will face different challenges that will test your existing skills
Please don’t forget that the course comes with Udemy’s 30-day unconditional, money-back-in-full guarantee. And why not give such a guarantee, when we are convinced the course will provide a ton of value for you?
Just go ahead and subscribe to this course! If you don't acquire these skills now, you will miss an opportunity to separate yourself from the others. Don't risk your future success! Let's start learning together now!
Who this course is for:
People who want a successful career in Finance
Anyone who wants to learn the practical skills of Financial analysis
People who are ambitious and want to learn faster than their peers
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Financial Analysis in Excel: Debt Management Ratios
Sunday, May 17, 2020
Free Coupon Discount - Financial Analysis in Excel: Debt Management Ratios, Learn Excel modelling to analyze financial statements for the assessment of a firm's debt management performance | Created by Md Mohan Uddin
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Description
Financial Analysis in Excel: Debt Management Ratios
Learn Excel modelling to analyze financial statements for the assessment of a firm's debt management performance
> Do you use or plan to use spreadsheet software like Excel for financial analysis, modelling, and valuation?
> Do you have issues in understanding the concept of debt management and firm performance?
> Are you a (personal/business) financial decision maker who needs to learn financial statement analysis?
> Do you calculate financial ratios but do not know how to create a model of those calculations in Excel?
> Do you calculate financial ratios but do not know how to interpret those?
> Are you planning for being a professional financial analyst like CFA in the area of Finance?
> Are you a manager, investor, creditor, supplier, regulator, or any other stakeholder of a business organization?
If your answer is 'YES' to any one of the above questions, THIS COURSE IS THE PERFECT ONE FOR YOU TO START WITH...
What you'll learn:
Explain different debt management ratios
Mathematical definition of the debt management ratios
Calculate the debt management ratios in Excel using publicly available financial statements
Interpret the debt management ratios of a firm
Assess a firm's debt management performance over time and in comparison to cross-sectional standards
This course consists of several video lectures that will be updated over time and based on students' requests, quizzes at the end of every section for testing your level of understanding, and additional resources. The lectures contain explanations of necessary concepts along with examples and illustrations.
The instructor welcomes his students for continuous discussion with him. Any sort of input for improving the course is also appreciated. He also expects your positive and genuine review and rating of the course.
Who this course is for:
Beginners interested to learn financial and performance analysis in Excel or other spreadsheet software
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