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Some crypto, investments and finance related courses

Good evening brothers and sisters of cryptos, i hope you are all fine!

I don’t know if you have already checked this website (coursera), but it has a lot of courses related to cryptos, investments and finances (that are given by renowned colleges), and i think that some concepts of crypto/fundamental analysis/finances in general that are presented may help some newcomers (and even the old ones) of this wonderful sub in your adventures in this digital world.

**THEY ARE ALL FOR FREE!**

***Note:*** *In the end of this text i’ll post some links that can show you many other related courses on this site.*

*Here are some samples of the courses over there:*

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# Bitcoin and Cryptocurrency technologies

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>To really understand what is special about Bitcoin, we need to understand how it works at a technical level. We’ll address the important questions about Bitcoin, such as:
>
>How does Bitcoin work? What makes Bitcoin different? How secure are your Bitcoins? How anonymous are Bitcoin users? What determines the price of Bitcoins? Can cryptocurrencies be regulated? What might the future hold? After this course, you’ll know everything you need to be able to separate fact from fiction when reading claims about Bitcoin and other cryptocurrencies. You’ll have the conceptual foundations you need to engineer secure software that interacts with the Bitcoin network. And you’ll be able to integrate ideas from Bitcoin in your own projects. Course Lecturers: Arvind Narayanan, Princeton University
>
>[Bitcoin and Cryptocurrency Technologies](https://www.coursera.org/learn/cryptocurrency)

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# Introduction to Ethereum DeFi Smart Contract Security & Exploits

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>This project is for curious minds interested in understanding popular Ethereum-based application vulnerabilities that are particularly effective in decentralized financial (DeFi) markets. In this project, we will execute a few exploits within a few example smart contracts on a blockchain we will deploy. By the end of this project, you should have hands-on experience and a firmer understanding of race conditions and other types of ecosystem manipulation measures that can occur in Ethereum-based decentralized financial (DeFi) markets. Ideal participants have a basic understanding of how Ethereum works and some experience executing Ethereum transactions.
>
>[Introduction to Ethereum DeFi Smart Contract Security & Exploits](https://www.coursera.org/projects/ethereum-smart-contract-security-exploits)

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# Integrated program of blockchain courses

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>This specialization introduces blockchain, a revolutionary technology that enables peer-to-peer transfer of digital assets without any intermediaries, and is predicted to be just as impactful as the Internet. More specifically, it prepares learners to program on the Ethereum blockchain. The four courses provide learners with (i) an understanding and working knowledge of foundational blockchain concepts, (ii) a skill set for designing and implementing smart contracts, (iii) methods for developing decentralized applications on the blockchain, and (iv) information about the ongoing specific industry-wide blockchain frameworks.
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>The specialization covers a range of essential topics, from the cryptographic underpinnings of blockchain technology to enabling decentralized applications on a private Ethereum blockchain platform.
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>It is ideal for programmers and designers involved in developing and implementing blockchain applications, and anyone who is interested in understanding its potential.
>
>[Integrated program of blockchain courses](https://www.coursera.org/specializations/blockchain)

# Smart Contracts

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>This second course of the Blockchain specialization will help you design, code, deploy and execute a smart contract – the computational element of the blockchain technology. Smart contracts allow for implementing user-defined operations of arbitrary complexity that are not possible through plain cryptocurrency protocols. They allow users to implement conditions, rules and policies of the domain applications. Smart contracts are a powerful feature that, when properly designed and coded, can result in autonomous, efficient and transparent systems.
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>You will design and program smart contracts in Solidity language, test and deploy them in the Remix development environment, and invoke them from a simple web interface that Remix provides. This course features best practices for designing solutions with smart contracts using Solidity and Remix IDE. Main concepts are delivered through videos, demos and hands-on exercises.
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>[Smart Contracts](https://www.coursera.org/learn/smarter-contracts#reviews)

# Investment Risk Management

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>By the end of the tutorial, you will learn how to quantify risk-to-reward using the Treynor Ratio, and calculate the value at risk for investment portfolio. ATTENTION: To take this tutorial, it is required that you are familiar with basic financial risk management concepts. You can gain them by taking Compare Stock Returns with Google Sheets. Note: This tutorial works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions. This tutorial’s content is not intended to be investment advice and does not constitute an offer to perform any operations in the regulated or unregulated financial market.
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>[Investment Risk management](https://www.coursera.org/projects/investment-risk-management)

# Practical Guide to Trading

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>Understand the interconnectedness of the global capital markets with a practical emphasis on trading. By the end of this specialization, the interweaving of several capital markets will be apparent to students keen to learn about its mechanics, as well as those investors whose strengths are limited to their existing trading knowledge.
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>Imagine you’re an experienced oil trader and have been watching the volatility in the world markets and would like to hedge your risk using commodity futures, or you have been trading stocks and want a more diverse portfolio. This specialization is designed for those students who may already be deeply involved in one facet of the capital markets, but who desire a better understanding of how capital flows around the world.
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>Those who participate will be able to leverage their understanding of the financial markets to explore how a parallel market may influence, or be influenced by, that asset class in which they have familiarity.
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>By the end of this specialization, the interweaving of several capital markets will be apparent to students keen to learn about its mechanics, as well as those investors whose strengths are limited to their existing trading knowledge. Students may also further their involvement with this material by opening a Paper Trading account, enabling them to enjoy a hands-on experience in a safe, simulated trading environment, while being fully immersed in the fundamentals that underpin the capital markets.
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>[Practical Guide to Trading](https://www.coursera.org/specializations/financial-instruments-trading-investing#instructors)

# Investment Management with Python and Machine Learning

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>The Data Science and Machine Learning for Asset Management Specialization has been designed to deliver a broad and comprehensive introduction to modern methods in Investment Management, with a particular emphasis on the use of data science and machine learning techniques to improve investment decisions.By the end of this specialization, you will have acquired the tools required for making sound investment decisions, with an emphasis not only on the foundational theory and underlying concepts, but also on practical applications and implementation. Instead of merely explaining the science, we help you build on that foundation in a practical manner, with an emphasis on the hands-on implementation of those ideas in the Python programming language through a series of dedicated lab sessions.
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>[Investment Management with Python and Machine Learning](https://www.coursera.org/specializations/investment-management-python-machine-learning)

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# Financial Markets

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>An overview of the ideas, methods, and institutions that permit human society to manage risks and foster enterprise. Emphasis on financially-savvy leadership skills. Description of practices today and analysis of prospects for the future. Introduction to risk management and behavioral finance principles to understand the real-world functioning of securities, insurance, and banking industries. The ultimate goal of this course is using such industries effectively and towards a better society.
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>[Financial Markets](https://www.coursera.org/learn/financial-markets-global)

# Investment Strategies and Portfolio Analysis

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>In this course, you will learn about latest investment strategies and performance evaluation. You will start by learning portfolio performance measures and discuss best practices in portfolio performance evaluation. You will explore different evaluation techniques such as style analysis and attribution analysis and apply them to evaluate different investment strategies. Special emphasis will be given to recent financial market innovations and current investment trends.
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>[Investment Strategies and Portfolio Analysis](https://www.coursera.org/learn/investment-strategies-portfolio-analysis#reviews)

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# Investments I: Fundamentals of Performance Evaluation

>Build a Winning Investment Portfolio. Improve your investment strategies with real-world skills, insights, and analytical tools.
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>[Investments I: Fundamentals of Performance Evaluation](https://www.coursera.org/learn/investments-fundamentals#reviews)

# Investments II: Lessons and Applications for Investors

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>In this course, you will start by reviewing the fundamentals of investments, including the trading off of return and risk when forming a portfolio, asset pricing models such as the Capital Asset Pricing Model (CAPM) and the 3-Factor Model, and the efficient market hypothesis. You will be introduced to the two components of stock returns – dividends and capital gains – and will learn how each are taxed and the incentives provided to investors from a realization-based capital gains tax. You will examine the investment decisions (and behavioral biases) of participants in defined-contribution (DC) pension plans like 401(k) plans in the U.S. and will learn about the evidence regarding the performance of individual investors in their stock portfolios. The course concludes by discussing the evidence regarding the performance of actively-managed mutual funds. You will learn about the fees charged to investors by mutual funds and the evidence regarding the relation between fees charged and fund performance. Segments of the portfolios of mutual funds that may be more likely to outperform and examples of strategies designed to “earn alpha” will also be introduced.
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>[Investments II: Lessons and Applications for Investors](https://www.coursera.org/learn/investments-applications#reviews)

# Accounting for Business Decision Making: Measurement and Operational Decisions

>Accounting information is the lifeblood of the organization as it facilitates and influences operational and strategic decisions intended to achieve organizational goals. Organizations benefit from three decision-oriented roles of accounting: measurement, control, and communication.
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>[Accounting for Business Decision Making: Measurement and Operational Decisions](https://www.coursera.org/learn/business-accounting)

# Corporate Finance II: Financing Investments and Managing Risk

>In this course you will learn how companies decide on how much debt to take, and whether to raise capital from markets or from banks. You will also learn how to measure and manage credit risk and how to deal with financial distress. You will discuss the mechanics of dividends and share repurchases, and how to choose the best way to return cash to investors. You will also learn how to use derivatives and liquidity management to offset specific sources of financial risk, including currency risks. Finally, You will learn how companies finance merger and acquisition decisions, including leveraged buyouts, and how to incorporate large changes in leverage in standard valuation models.
>
>[Corporate Finance II: Financing Investments and Managing Risk](https://www.coursera.org/learn/corporate-finance-two#reviews)

## Stock Valuation with Comparable Companies Analysis

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>In this 1-hour long tutorial, you will learn how to value a company or a stock using Comparable Companies Analysis, one of the most popular valuation techniques. This is used by equity research analysts, investment bankers, private equity professionals, and hedge fund managers throughout the world. In this tutorial, we will work with the stock data pooled from Google Finance and financial data from Yahoo Finance to calculate the fair value per share for Tesla Inc. stock, through comparison with the stocks of GM, Ford, Toyota, Volkswagen, Daimler, BMW, and Honda. Note: This tutorial works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions. This tutorial’s content is not intended to be investment advice and does not constitute an offer to perform any operations in the regulated or unregulated financial market.
>
>[Stock Valuation with Comparable Companies Analysis](https://www.coursera.org/projects/stock-valuation-comparable-companies-analysis)

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**IN THESE LINKS YOU CAN LOOK FOR MORE RELATED COURSES:**

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[Courses related to crypto](https://www.coursera.org/search?query=crypto)

[Courses related to investments](https://www.coursera.org/search?query=investments&)

[Courses related to finance for investors](https://www.coursera.org/search?query=finance%20for%20investors)

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Enjoy it!



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  1. Awesome, this is a fantastic catalogue of resources that I’ve used some of in the past and can’t recommend them highly enough!

    To add something, there is also a seminal book entitled Trading for a Living: Psychology, Trading Tactics, Money Management by Dr. Alexander Elder, which is available in audiobook format free here:

    [https://www.youtube.com/watch?v=SCDZ6QYYPuQ&t=4640s](https://www.youtube.com/watch?v=SCDZ6QYYPuQ&t=4640s)

    It’s a 3 hour long audiobook and everything is as relevant today as it ever was, in any market.

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