The Complete Finance & Economics Bundle

Investments and Portfolio Theory are a function of the risk, return, and tradeoffs associated between them. In this course, you'll explore how these factors are interconnected, and how to analyze the risk-return tradeoff to make safe and smart investments. By course's end, you'll be ready to construct a diverse, powerful investment portfolio.

• Access 21 lectures & 4.5 hours of content 24/7
• Understand investment, risk, return, tradeoffs, & portfolio theories
• Calculate return & risk of assets & portfolios using the Markowitz Modern Portfolio Theory
• Assess the CAPM Required rate of return & make investment decisions
• Learn how to measure risk & return, & diversify your investment

Macroeconomics is the "big-picture" of the economy - a view of how, why, and in what way people, governments, and central banks react to economic events. In this course, you'll treat macroeconomics as a story, analyzing historical events, and discussing how major economic stimulants can affect personal financial decisions. You'll gain a holistic view of how global economies work, and how to act as an individual within them.

• Access 21 lectures & 4 hours of content 24/7
• Understand what can lead to inflation & when the markets might flourish
• Assess when interest rates may rise & when the right time to invest is
• Decode success stories of GDP growth & recognize when an economy may boom
• Recognize how oil price changes may impact foreign earnings & expenses
• Determine how government decisions may impact your salary

Equity valuation can be a complex and confusing concept, but it's an essential one for entrepreneurs and anybody who works in a small business or startup. This course will explore equity valuation from both wide and narrow scopes before connecting the dots between the two to give you a full-fledged understanding of this important financial concept.

• Access 49 lectures & 6 hours of content 24/7
• Get introduced to equity valuation topics like intrinsic value, price, valuation & market capitalization
• Discover absolute valuation techniques
• Explore Net Present Value & discounting cash flows
• Apply important types of models, such as Dividend-Discount models, Free Cash Flow models & Relative-Value models
• Calculate the cost of capital to a company

As any American can tell you, corporate finance is an incredibly complex and dicey subject. This course, however, will give you a comprehensive, big picture and small details overview of corporate finance. You'll dive into financial statements, ratios, Dupont's Identity, and more essential topics so you'll have a complete grasp of how money really works.

• Access 39 lectures & 7.5 hours of content 24/7
• Interpret financial statements, like balance sheets, income statements & statements of cash flows
• Parse SEC filings like the 10K & 10Q to understand the business model of any company entirely from its investor filings
• Calculate ratios in all major categories: liquidity, leverage, turnover, profitability & valuation
• Apply Dupont's Identity to see whether a company's stock returns are driven by operational efficiency, asset efficiency, or leverage
• Calculate the sustainable rate of growth at which a company can grow w/o external financing

Microeconomics is a field packed with everyday applications, from economic to social transactions. This course explores the competitive theories of economics, giving you a crash course in how to think about markets, finance, and the economic drivers that guide all of our decisions.

• Access 42 lectures & 6 hours of content 24/7
• Apply Game Theory to decide whether to be adversarial or cooperative in real-life situations
• Determine how best to price products or services you are selling
• Decide the kind of cost structure a firm or enterprise should have, relative to its competitive landscape
• Model demand, supply & the effects of income, government regulations & technology

This course gets straight to business (quite literally), outlining the hows and whys of top tech companies' successes and failures. Dive into 4 in-depth case studies of tech titans Apple, Facebook, Twitter, and LinkedIn, gaining insight as to each company's business model, finances, and more. You'll walk away with valuable insights you can apply to your own company to optimize for its long-term success.

• Dive into case studies on the successes & failures of top tech companies w/ 4 hours of content
• Walk through in-depth analyses of featured companies' business models, financial statements, investor filings, product choices & competitive analyses
• See how Apple has iterated upon its product offerings to great financial effect
• Understand how & why Twitter struggles to monetize its content
• Learn how Facebook has turned its massive user base into a revenue generating machine
• Apply these insights to your own business endeavors

R is a programming language and software environment for statistical computing and graphics that is widely used among statisticians and data miners for data analysis. In this course, you'll get a thorough run-through of how R works and how it's applied to data science. Before you know it, you'll be crunching numbers like a pro, and be better qualified for many lucrative careers.

• Access 82 lectures & 9 hours of content 24/7
• Cover basic statistical principles like mean, median, range, etc.
• Learn theoretical aspects of statistical concepts
• Discover datatypes & data structures in R, vectors, arrays, matrices & more
• Understand Linear Regression
• Visualize data in R using a variety of charts & graphs
• Delve into descriptive & inferential statistics

Course Description

Financial markets are fickle beasts that can be extremely difficult to navigate for the average investor. This course will introduce you to machine learning, a field of study that gives computers the ability to learn without being explicitly programmed, while teaching you how to apply these techniques to quantitative trading. Using Python libraries, you'll discover how to build sophisticated financial models that will better inform your investing decisions. Ideally, this one will buy itself back and then some!

• Access 64 lectures & 11 hours of content 24/7
• Get a crash course in quantitative trading from stocks & indices to momentum investing & backtesting
• Discover machine learning principles like decision trees, ensemble learning, random forests & more
• Set up a historical price database in MySQL using Python
• Learn Python libraries like Pandas, Scikit-Learn, XGBoost & Hyperopt
• Access source code any time as a continuing resource