【2022年】十大計量財務金融課程熱門排行推薦與優惠精選!

 

本文章推薦「CFA® Level 1 (2021/2022) – Complete Quantitative Methods」、「Algorithmic Trading & Quantitative Analysis Using Python」、「Financial Derivatives: A Quantitative Finance View」等相關計量財務金融線上課程,讓您滿足學習的慾望。

你是否想透過線上學習得到更多的技能,增加自己的技能樹?現在是學生的您,透過線上學習可以將更多專業知識用在課業學習上更加強所學。還是您是朝九晚五的上班族,尋找可以為工作上帶來更上一層樓的技能?或您是因為興趣或想培養其他興趣?

線上課程不受地理位置影響,不受時間早晚影響,老師來自世界各地,也不受學習程度影響的特色,讓您無時無刻想學都可以,想多看幾次增加熟悉度也可以。不同領域的老師將針對不同主題滿足您的學習目的,推薦的課程項目會陸續更新,絕對提供您最熱門人氣高的線上課程。

  • 線上課程老師來自於全球,文章推薦的熱門課程除了繁中課程以外還會有機會看到簡中和英文課程,可以針對自己喜好挑選。
  • 呈現的價錢會因為一些活動而有折扣,但折扣有可能一段時間後結束而調整回原價,最終價錢煩請到課程頁面進行確認。





計量財務金融課程總覽

為了節省您的時間,本列表整理每個課程精要,讓您可以快速瀏覽這文章所提供的課程是否是您所需要的,點選您有興趣課程的「課程名稱」或「課程圖示」可以進一步跳到文章所屬課程的介紹區塊瞭解更多資訊。

課程名稱Algorithmic Trading & Quantitative Analysis Using PythonCFA® Level 1 (2021/2022) – Complete Quantitative MethodsFinancial Derivatives: A Quantitative Finance ViewQuantitative Finance & Algorithmic Trading in PythonAlgorithmic Trading & Time Series Analysis in Python and RQuantitative Trading Analysis with RFixed Income Analytics: Pricing and Risk ManagementAll Weather Investing Via Quantitative Modeling In ExcelFinancial Math Primer for Absolute Beginners – Core FinanceBacktesting Strategies: Test Trading Strategies Using Python
課程圖示
1

Algorithmic Trading & Quantitative Analysis Using Python

2

CFA® Level 1 (2021/2022) - Complete Quantitative Methods

3

Financial Derivatives: A Quantitative Finance View

4

Quantitative Finance & Algorithmic Trading in Python

5

Algorithmic Trading & Time Series Analysis in Python and R

6

Quantitative Trading Analysis with R

7

Fixed Income Analytics: Pricing and Risk Management

8

All Weather Investing Via Quantitative Modeling In Excel

9

Financial Math Primer for Absolute Beginners - Core Finance

10

Backtesting Strategies: Test Trading Strategies Using Python

課程原價NT$ 1,790NT$ 2,790NT$ 2,990NT$ 2,690NT$ 2,790NT$ 790NT$ 2,690NT$ 2,690NT$ 590
課程售價NT$ 390NT$ 430NT$ 430NT$ 390NT$ 390NT$ 390NT$ 390NT$ 6,590NT$ 390NT$ 390
課程評價(人數)4.6 分(2,529 個評分)4.7 分(2,645 個評分)4.6 分(1,331 個評分)4.6 分(946 個評分)4.3 分(252 個評分)4.2 分(158 個評分)4.6 分(85 個評分)4.6 分(106 個評分)4.6 分(37 個評分)4.6 分(23 個評分)
課程時長18.5 小時6 小時27 小時14.5 小時17.5 小時7.5 小時18.5 小時8.5 小時5.5 小時3 小時
學生人數19,887 人15,095 人9,326 人7,703 人3,298 人1,397 人747 人650 人270 人238 人
課程特色Build fully automated trading system and Implement quantitative trading strategies using PythonDeep dive into Quant with the Bestselling CFA® prep course provider | With visual learning + QuizzesThe financial engineering of forwards, futures, swaps, and options, with Python tools for fixed income and optionsStock Market, Bonds, Markowitz-Portfolio Theory, CAPM, Black-Scholes Model, Value at Risk and Monte-Carlo SimulationsTechnical Analysis (SMA and RSI), Time Series Analysis (ARIMA and GRACH), Machine Learning and Mean-Reversion StrategiesLearn quantitative trading analysis from basic to expert level through a practical course with R statistical software.With Python Tools for Bonds and Money Market InstrumentsMaster The Principles of A Resilient Investing Strategy using Stocks & Bonds ETF called Risk Parity Used In Hedge FundsLearn How to Rearrange, Expand, & Conquer Equations in Finance. Then Write a Financial Mathematics Proof from Scratch.Find out if your trading strategy will work in real life by testing how it would have worked in the past
連結UdemyUdemyUdemyUdemyUdemyUdemyUdemyUdemyUdemyUdemy



計量財務金融課程介紹

推薦的課程以倒序的方式呈現,越往下查看會看到越熱門的,期望您能找到滿意的學習主題!

10

Backtesting Strategies: Test Trading Strategies Using Python

Find out if your trading strategy will work in real life by testing how it would have worked in the past
NT$ 590
NT$ 390

點擊看Udemy

課程老師Robert Grzesik
課程評價4.6 分(23 個評分)
課程時長3 小時
學生人數238 人

課程介紹

Are you a young professional interested in a Data Science career?

Are you interested in learning how to use Python to analyze your investments and help make you more money?

If yes, then this course is perfect for you!

Introducing Backtesting

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哪些人適合這堂課?

  • Aspiring data scientists
  • People interested in finance and investments
  • Business/finance graduates and professionals who need to better apply their knowledge in Python
  • Programmers who want to specialize in finance

學習目標

  • Calculate risk and return of investment portfolios
  • Create graphs and charts using Pandas and Matplotlib
  • Apply best practices when working with financial data
  • Take your career to the next level
  • Be comfortable applying for a developer job in a financial institution
  • Perform backtesting analysis on your investments
  • Build and analyze investment portfolios
  • Calculate risk and return of individual securities
  • Compare securities using their Sharpe ratio
  • Use Python to solve real-world tasks
  • Carry out in-depth investment analysis
  • Perform max drawdown analysis
  • Understand how to use the data analysis toolkit, Pandas
  • Apply and succeed in the best rated job in the world: Data Science

關注這課程的人也購買了這些…

9

Financial Math Primer for Absolute Beginners – Core Finance

Learn How to Rearrange, Expand, & Conquer Equations in Finance. Then Write a Financial Mathematics Proof from Scratch.
NT$ 2,690
NT$ 390

點擊看Udemy

課程老師Fervent #LearnWithDistinction
課程評價4.6 分(37 個評分)
課程時長5.5 小時
學生人數270 人

課程介紹

Do equations freak you out? Are you scared of numbers? Chances are, you had a terrible math teacher in school. It’s time to take back control. And finally get the foundation you need for financial math.

The fact is, you need to be at least reasonabl

瞭解更多細節

哪些人適合這堂課?

  • College / University students studying Finance, and are afraid of numbers / equations.
  • Students who’ve had terrible math teachers in the past. It’s not your fault.
  • Analysts / Associates / Professionals who know they have a weak math foundation but are scared or embarrassed to admit it.

學習目標

  • Finally understand why equations (in and outside of Financial Math) work the way they do.
  • Gain a solid command over how to rearrange / manipulate equations algebraically.
  • Build the foundation that will empower you to later handle more complex problems in Finance.
  • Experience Financial Math the way it is – with simplicity. Starting from the stuff before the basics.
  • Get past your fear of equations by taking control of them. Start by learning how to read equations. Then conquer them.
  • Prove equations from scratch (aka “first principles”). And do this by relying almost exclusively on the foundation you’ve built.

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8

All Weather Investing Via Quantitative Modeling In Excel

Master The Principles of A Resilient Investing Strategy using Stocks & Bonds ETF called Risk Parity Used In Hedge Funds
NT$ 6,590

點擊看Udemy

課程老師AllQuant .
課程評價4.6 分(106 個評分)
課程時長8.5 小時
學生人數650 人

課程介紹

WHAT YOU WILL GET IN THIS COURSE

Fully completed model file that you can use for live investing or improve on.

Over 8 hours of lectures developed by professionals with more than 30 years of joint experience in the asset management, hedge fund, and

瞭解更多細節

哪些人適合這堂課?

  • Anyone who is keen to learn a solid investment approach used by hedge fund professionals founded on math and common sense.
  • Anyone who is interested in generating stable returns with lower risk over the long term.
  • Anyone who is serious about taking charge of their investment.
  • This is NOT for people expecting an active trading course or something that will make you a millionaire overnight.

學習目標

  • Learn about quantitative Investing & how it is different from conventional methods of investing
  • Master the science and art of diversification to build an all-weather portfolio that remains robust under harsh market conditions
  • Know the pitfalls of buying and holding a pure stock portfolio
  • Understand why traditional asset allocation methods such as 50/50 or 60/40 are not ideal
  • Understand the concept of risk and how to look at investments from the perspective of risk
  • Know the criteria to choose the right assets in portfolio construction
  • Master an established quantitative method used in hedge funds called Risk Parity to allocate capital across different assets
  • Understand how Risk Parity works and why it is adaptive to market conditions
  • Know both the strengths and weaknesses in Risk Parity
  • Use critical Excel lookup, logic, math and statistical functions required for modelling in this course.
  • Understand the intuition, math and know how to implement financial concepts such as Returns, Correlation, Risk, Marginal Risk Contribution
  • Know how to model a buy and hold portfolio
  • Know what is rebalancing and how to model a portfolio with periodic rebalancing
  • Know how to perform portfolio weights optimization
  • Know what are the transaction costs involved and how to incorporate them into the model
  • Understand the concept of leverage and how we can use it to boost our returns
  • Learn how to incorporate leverage and borrowing costs into the model
  • Learn the concept and math behind key investment performance metrics such as Sharpe Ratio
  • Know how to operate the Risk Parity model

關注這課程的人也購買了這些…

7

Fixed Income Analytics: Pricing and Risk Management

With Python Tools for Bonds and Money Market Instruments
NT$ 2,690
NT$ 390

點擊看Udemy

課程老師Cameron Connell
課程評價4.6 分(85 個評分)
課程時長18.5 小時
學生人數747 人

課程介紹

The fixed income markets are central to the modern economy, and are arguably the most central and influential markets in the entire financial system.  Indeed, interest rates, the most important prices in the entire economy, are set in the bond and mo

瞭解更多細節

哪些人適合這堂課?

  • Technical professionals who want to learn finance
  • Finance professionals who want to improve their quantitative skills and learn how to analyze fixed income securities

學習目標

  • The general structure of global bond and money markets
  • Pricing, yield, accrued interest and day count conventions
  • Arbitrage and the time value of money as the core principles underlying security valuation, and how to use them to price fixed income securities
  • The term structure of interest rates, its applications, and the accepted theories of the forces that shape it
  • The classic risk measures of fixed income securities: duration, DV01, and convexity, and their applications to risk management
  • Trading applications: riding the yield curve and rate level trading
  • Immunization and applications in asset/liability management

關注這課程的人也購買了這些…



6

Quantitative Trading Analysis with R

Learn quantitative trading analysis from basic to expert level through a practical course with R statistical software.
NT$ 790
NT$ 390

點擊看Udemy

課程老師Diego Fernandez
課程評價4.2 分(158 個評分)
課程時長7.5 小時
學生人數1,397 人

課程介紹

Full Course Content Last Update 08/2018

Learn quantitative trading analysis through a practical course with R statistical software using S&P 500® Index ETF prices for back-testing. It explores main concepts from basic to expert level which can help

瞭解更多細節

哪些人適合這堂課?

  • Undergraduate or postgraduate who wants to learn about quantitative trading analysis using R statistical software.
  • Finance professional or academic researcher who wishes to deepen your knowledge in quantitative finance.
  • Experienced investor who desires to research quantitative trading strategies.
  • This course is NOT about “get rich quick” trading systems or magic formulas.

學習目標

  • Read or download S&P 500® Index ETF prices data and perform quantitative trading analysis operations by installing related packages and running script code on RStudio IDE.
  • Implement trading strategies based on their category and frequency by defining indicators, identifying signals they generate and outlining rules that accompany them.
  • Explore strategy categories through trend-following indicators such as simple moving averages, moving averages convergence-divergence and mean-reversion indicators such as Bollinger bands®, relative strength index, statistical arbitrage through z-score.
  • Evaluate simulated strategy historical risk adjusted performance through trading statistics, performance metrics and risk management metrics.
  • Calculate main trading statistics such as net trading profit and loss, gross profit, gross loss, profit ratio, maximum drawdown, profit to maximum drawdown and equity curve.
  • Measure principal strategy performance metrics such as annualized returns, annualized standard deviation and annualized Sharpe ratio.
  • Estimate key risk management metrics such as maximum adverse excursion and maximum favorable excursion.
  • Maximize historical risk adjusted performance by optimizing strategy parameters through an exhaustive grid search of all indicators parameters combinations.
  • Minimize optimization over-fitting or data snooping through walk forward analysis implemented as time-series or step-forward cross-validation by sequentially resampling asset prices data into rolling fixed length training subsets for in-sample strategy parameters optimizations and testing subsets for out-of-sample optimized strategy parameters validations.

關注這課程的人也購買了這些…

5

Algorithmic Trading & Time Series Analysis in Python and R

Technical Analysis (SMA and RSI), Time Series Analysis (ARIMA and GRACH), Machine Learning and Mean-Reversion Strategies
NT$ 2,790
NT$ 390

點擊看Udemy

課程老師Holczer Balazs
課程評價4.3 分(252 個評分)
課程時長17.5 小時
學生人數3,298 人

課程介紹

This course is about the fundamental basics of algorithmic trading. First of all you will learn about stocks, bonds and the fundamental basic of stock market and the FOREX. The main reason of this course is to get a better understanding of mathematic

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哪些人適合這堂課?

  • Anyone who wants to learn the basics of algorithmic trading

學習目標

  • Understand technical indicators (MA, EMA or RSI)
  • Understand random walk models
  • Understand autoregressive models
  • Understand moving average models
  • Understand heteroskedastic models and volatility modeling
  • Understand ARIMA and GARCH based trading strategies
  • Understand market-neutral strategies and how to reduce market risk
  • Understand cointegration and pairs trading (statistical arbitrage)
  • Understand machine learning approaches in finance

關注這課程的人也購買了這些…



4

Quantitative Finance & Algorithmic Trading in Python

Stock Market, Bonds, Markowitz-Portfolio Theory, CAPM, Black-Scholes Model, Value at Risk and Monte-Carlo Simulations
NT$ 2,690
NT$ 390

點擊看Udemy

課程老師Holczer Balazs
課程評價4.6 分(946 個評分)
課程時長14.5 小時
學生人數7,703 人

課程介紹

This course is about the fundamental basics of financial engineering. First of all you will learn about stocks, bonds and other derivatives. The main reason of this course is to get a better understanding of mathematical models concerning the finance

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哪些人適合這堂課?

  • Anyone who wants to learn the basics of financial engineering!

學習目標

  • Understand stock market fundamentals
  • Understand bonds and bond pricing
  • Understand the Modern Portfolio Theory and Markowitz model
  • Understand the Capital Asset Pricing Model (CAPM)
  • Understand derivatives (futures and options)
  • Understand credit derivatives (credit default swaps)
  • Understand stochastic processes and the famous Black-Scholes model
  • Understand Monte-Carlo simulations
  • Understand Value-at-Risk (VaR)
  • Understand CDOs and the financial crisis
  • Understand interest rate models (Vasicek model)

關注這課程的人也購買了這些…

3

Financial Derivatives: A Quantitative Finance View

The financial engineering of forwards, futures, swaps, and options, with Python tools for fixed income and options
NT$ 2,990
NT$ 430

點擊看Udemy

課程老師Cameron Connell
課程評價4.6 分(1,331 個評分)
課程時長27 小時
學生人數9,326 人

課程介紹

Student Testimonials:

This course offers an unreal value. Very rich content! This beats any financial course I’ve taken at my university. Looking forward to completing this course and using some of these skills in my career.–Steven

Cameron is a

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哪些人適合這堂課?

  • Technical professionals who want to learn about quantitative finance
  • Finance professionals who want to improve their quantitative skills and learn how to analyze derivative products

學習目標

  • Learn the fundamentals of derivatives at a quantitative level
  • Master arbitrage, the core principle underlying derivatives, quantitative risk management and quantitative trading
  • Use derivatives to control and manage financial risk
  • Price forwards, futures, swaps and options
  • Understand the Black-Scholes theory and formula intuitively, avoiding stochastic calculus
  • Learn the limitations of the Black-Scholes theory, and how it is used in practice
  • Python based tools are provided for computations with bonds, yield curves, and options

關注這課程的人也購買了這些…



2

CFA® Level 1 (2021/2022) – Complete Quantitative Methods

Deep dive into Quant with the Bestselling CFA® prep course provider | With visual learning + Quizzes
NT$ 2,790
NT$ 430

點擊看Udemy

課程老師PrepNuggets | by Keith Tan, CFA
課程評價4.7 分(2,645 個評分)
課程時長6 小時
學生人數15,095 人

課程介紹

Bestselling and Highest Rated CFA® courses on Udemy!

(for 2021 and 2022* CFA® Level I exam)

The CFA® program is rewarding but gruelling. The majority of candidates fail the exam. In order to pass, you are going to need much more than summaries or c

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哪些人適合這堂課?

  • This course is for CFA Level 1 Candidates
  • This course is for people who are interested in the CFA Program

學習目標

  • Make present value and future value calculations
  • Use TVM functions on your calculator
  • Use net present value (NPV) and internal rate of return (IRR) for evaluating cash flow streams
  • Systematically measure portfolio returns
  • Calculate money market yields
  • Learn the basic concepts of statistics
  • Apply statistical concepts to financial returns distributions
  • Learn the basic concepts of probability
  • Use probability tools in financial analysis
  • Use uniform, binomial, normal, and lognormal distributions in investment analysis
  • Understand Monte Carlo Simulation
  • Understand sampling process, and use sample information to estimate population parameters
  • Perform and design hypothesis tests, in particular, tests concerning mean and variance
  • Spot and interpret technical chart patterns, trends and cycles
  • Understand and apply common technical analysis indicators

關注這課程的人也購買了這些…

1

Algorithmic Trading & Quantitative Analysis Using Python

Build fully automated trading system and Implement quantitative trading strategies using Python
NT$ 1,790
NT$ 390

點擊看Udemy

課程老師Mayank Rasu
課程評價4.6 分(2,529 個評分)
課程時長18.5 小時
學生人數19,887 人

課程介紹

Build a fully automated trading bot on a shoestring budget. Learn quantitative analysis of financial data using python. Automate steps like extracting data, performing technical and fundamental analysis, generating signals, backtesting, API integrati

瞭解更多細節

哪些人適合這堂課?

  • traders looking to automate strategies and building automated trading stations, data scientists seeking to work with financial data, anyone curious about quantitative analysis

學習目標

  • Algorithmic trading and quantitative analysis using python
  • Carrying out both technical analysis and fundamental analysis programatically
  • API trading

關注這課程的人也購買了這些…



計量財務金融課程總覽

看完了一連串課程的介紹後,你是否還想要再一次進行課程總比較呢?

課程名稱Algorithmic Trading & Quantitative Analysis Using PythonCFA® Level 1 (2021/2022) – Complete Quantitative MethodsFinancial Derivatives: A Quantitative Finance ViewQuantitative Finance & Algorithmic Trading in PythonAlgorithmic Trading & Time Series Analysis in Python and RQuantitative Trading Analysis with RFixed Income Analytics: Pricing and Risk ManagementAll Weather Investing Via Quantitative Modeling In ExcelFinancial Math Primer for Absolute Beginners – Core FinanceBacktesting Strategies: Test Trading Strategies Using Python
課程圖示
1

Algorithmic Trading & Quantitative Analysis Using Python

2

CFA® Level 1 (2021/2022) - Complete Quantitative Methods

3

Financial Derivatives: A Quantitative Finance View

4

Quantitative Finance & Algorithmic Trading in Python

5

Algorithmic Trading & Time Series Analysis in Python and R

6

Quantitative Trading Analysis with R

7

Fixed Income Analytics: Pricing and Risk Management

8

All Weather Investing Via Quantitative Modeling In Excel

9

Financial Math Primer for Absolute Beginners - Core Finance

10

Backtesting Strategies: Test Trading Strategies Using Python

課程原價NT$ 1,790NT$ 2,790NT$ 2,990NT$ 2,690NT$ 2,790NT$ 790NT$ 2,690NT$ 2,690NT$ 590
課程售價NT$ 390NT$ 430NT$ 430NT$ 390NT$ 390NT$ 390NT$ 390NT$ 6,590NT$ 390NT$ 390
課程評價(人數)4.6 分(2,529 個評分)4.7 分(2,645 個評分)4.6 分(1,331 個評分)4.6 分(946 個評分)4.3 分(252 個評分)4.2 分(158 個評分)4.6 分(85 個評分)4.6 分(106 個評分)4.6 分(37 個評分)4.6 分(23 個評分)
課程時長18.5 小時6 小時27 小時14.5 小時17.5 小時7.5 小時18.5 小時8.5 小時5.5 小時3 小時
學生人數19,887 人15,095 人9,326 人7,703 人3,298 人1,397 人747 人650 人270 人238 人
課程特色Build fully automated trading system and Implement quantitative trading strategies using PythonDeep dive into Quant with the Bestselling CFA® prep course provider | With visual learning + QuizzesThe financial engineering of forwards, futures, swaps, and options, with Python tools for fixed income and optionsStock Market, Bonds, Markowitz-Portfolio Theory, CAPM, Black-Scholes Model, Value at Risk and Monte-Carlo SimulationsTechnical Analysis (SMA and RSI), Time Series Analysis (ARIMA and GRACH), Machine Learning and Mean-Reversion StrategiesLearn quantitative trading analysis from basic to expert level through a practical course with R statistical software.With Python Tools for Bonds and Money Market InstrumentsMaster The Principles of A Resilient Investing Strategy using Stocks & Bonds ETF called Risk Parity Used In Hedge FundsLearn How to Rearrange, Expand, & Conquer Equations in Finance. Then Write a Financial Mathematics Proof from Scratch.Find out if your trading strategy will work in real life by testing how it would have worked in the past
連結UdemyUdemyUdemyUdemyUdemyUdemyUdemyUdemyUdemyUdemy



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以上推薦的課程還沒挑到自己有興趣的嗎?
還是您有熱衷某個老師開的課程呢?
本頁除了提供計量財務金融的課程以外,也列出這些課程所屬的老師的主要資訊頁,您可以從下列選單中了解更多相關介紹或看他們開的其他課程,期望您最終能找到自己想學習的項目。



【2022年】十大計量財務金融課程熱門排行推薦與優惠精選!

參考其他財務金融線上課程

除了本文介紹的課程種類以外,想要瞭解財務金融領域還有哪些不同類型的課程值得一探究竟嗎?讓您可以從不同面向更紮實的學習,點擊參考以下其他熱門主題文章。絕對提供您最優惠人氣滿檔的課程,歡迎繼續延伸閱讀。


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