融躍教育

大學生Super金融菁英計劃OMO(C1)

價格: 詳情咨詢當?shù)胤中?/span>

課程簡介: 大學生Super金融菁英計劃OMO

視頻有效期:36個月

視頻時長:約1000小時

詳情介紹

課程大綱

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課程問答

課程評價

課程試聽 推薦

  • CFA“甄”題庫(一級)
  • FRM一級標準網(wǎng)課
  • 大學生Super金融菁英計劃OMO(C1)
  • CFA快速PASS智播課(一級)
  • FRM快速PASS智播課(二級)
  • 陪伴與成長計劃

前導入門課

  • 1.金融數(shù)學

    • 1.Fundamentals of Probability

    • 2.Common Distributions

    • 3.Descriptive Statistics

    • 4.Inferential statistics

    • 5.Hypothesis testing

    • 6.Correlation analysis

    • 7.Linear regression

  • 2.金融英語

    • FRM與英語(1)

    • FRM與英語(2)

    • Grammar(1)

    • Grammar(2)

    • Financial Risk

    • Financial Institute(1)

    • Financial Institute(2)

    • Financial Institute(3)

    • Financial Products(1)

    • Financial Products(2)

  • 3.金融計算器

    • 1.Introduction

    • 2.Calculator Version

    • 3.Calculator overview

    • 4.Decimal point setting

    • 5.Priority mode setting

    • 6.Beginning and End mode setting

    • 7.Store and call function

    • 8.Common Clear key

    • 9.Exponential function

    • 10.Logarithm, factorial, permutation and combination function

    • 11.Poisson distribution, binomial distribution function

    • 12.Bond price calculation and date function

    • 13.Time value of money function

    • 14.Practice of time value of money

    • 15.Situations where time value of money does not apply

    • 16.Statistics function

  • 4.金融市場產(chǎn)品

    • 1.Introduction to financial market products

    • 2.Bank

    • 3.Insurance company and fund company

    • 4.OTC and bond

    • 5.Bond

    • 6.Forward and futures

    • 7.Swap

    • 8.Options

  • 5.金融債券類產(chǎn)品基礎

    • 1.Definition of bond

    • 2.Face value of bonds

    • 3.Term of repayment/Maturity and Coupon rate

    • 4.Frequency of coupon payment

    • 5.Issue price

    • 6.Repayment and Liquidity

    • 7.Safety/Security and Profitability

    • 8.Divided by issuer

    • 9.Divided by property guarantee

    • 10.Divided by the rate of coupon payment

    • 11.Bonds Versus Stocks

    • 12.Bonds Versus Funds

    • 13.Risks Faced

    • 14.Risk Management

    • 15.Pricing of Bonds

  • 6. 銀行經(jīng)營模式

    • 1.Bank Governance Framework

    • 2.Bank operation model

    • 3.Bank financial statement

基礎精講課

  • 1.風險管理基礎

    • 前言

    • 1-1 Typology of Risks and Risk Interactions

    • 1-2 The Risk Management Process

    • 1-3 quantitative risk metric

    • 1-4 Risk Factor Breakdown and Interactions Between Factors

    • 1-5 Structural Change From Tail Risk to Systemic Crisis

    • 1-6 Human Agency and Conflicts of Interest

    • 1-7 Risk Aggregation

    • 1-8 Balancing Risk and Reward

    • 2-1 Background The Modern Imperative to Manage Risk

    • 2-2 Risk Appetite – What Is It

    • 2-3 Risk Mapping

    • 2-4 Strategy Selection Accept, Avoid, Mitigate, Transfer

    • 2-5 Rightsizing Risk Management

    • 2-6 Risk Transfer Toolbox

    • 2-7 What Can Go Wrong in Corporate Hedging

    • 3-1 The Post-Crisis Regulatory Response

    • 3-2 Infrastructure of Risk Governance

    • 3-3 Risk Appetite Statement

    • 3-4 Implementing Board-Level Risk Governance

    • 3-5 Risk Appetite and Business Strategy The Role of Incentives

    • 3-6 Incentives and Risk-Taking

    • 3-7 The Interdependence of Organizational Units in Risk Governance

    • 3-8 Assessing the Bank’s Audit Function

    • 4-1 Overview of Credit Risk Transfer Mechanisms

    • 4-2 How Credit Risk Transfer Can Be Useful

    • 4-3 The Mechanics of Securitization

    • 4-4 From Buy-and-Hold to Originate-to-Distribution

    • 5-1 Modern Portfolio Theory

    • 5-2 The Capital Asset Pricing Model

    • 5-3 The Capital Market Line and the Security Market Line

    • 5-4 Performance Measures

    • 6-1 The Arbitrage Pricing Theory

    • 6-2 Different Types of Factor Models

    • 7-1 Introduction

    • 7-2 Benefits of Effective Risk Data Aggregation and Reporting

    • 7-3 Key Governance Principles

    • 7-4 Data Architecture and IT Infrastructure

    • 7-5 Characteristics of a Strong Risk Data Aggregation Capability

    • 7-6 Characteristics of Effective Risk Reporting Practices

    • 7-6 Characteristics of Effective Risk Reporting Practices

    • 8-1 ERM What Is It and Why Do Firms Need It

    • 8-2 ERM – A Brief History

    • 8-3 ERM From Vision to Action

    • 8-4 Why Might Enterprise Risk Demand ERM Four key Reasons

    • 8-5 The Critical Importance of Risk Culture

    • 8-6 Scenario Analysis ERM’s Sharpest Blade

    • 9-1 Interest Rate Risk

    • 9-2 Funding Liquidity Risk

    • 9-3 Constructing and Implementing a Hedging Strategy

    • 9-4 Model Risk

    • 9-5 Rogue Trading and Misleading Reporting

    • 9-6 Financial Engineering

    • 9-7 Reputation Risk

    • 9-8 Corporate Governance

    • 9-9 Cyber Risk

    • 10-1 Introduction and Overview

    • 10-2 How It All Started

    • 10-3 The Role of Financial Intermediaries

    • 10-4 Issues with the Rating Agencies

    • 10-5 A Primer on the Short-Term Wholesale Debt Market

    • 10-6 The Liquidity Crunch Hits

    • 10-7 Central Banks to the Rescue

    • 11-1 Introduction Statement

    • 11-2 Rules of Conduct

  • 2.數(shù)量分析

    • 0-1 Introduction

    • 1-1 Probabilities Concepts

    • 1-2 Total probability and Bayes’ theorem

    • 2-1 Discrete & Continuous Random Variable

    • 2-2 Descriptive Statistics- Four Moments

    • 3-1 Discrete Distribution

    • 3-2 Continuous Distribution

    • 4-1 Discrete Bivariate Random Variable

    • 4-2 Covariance and Correlation

    • 4-3 Independent Identical Distributed

    • 4-4 Cross central moment

    • 5-1 Inferential Statistics

    • 5-2 Properties of Estimators

    • 5-3 LLN and CLT

    • 6-1 Null vs. Alternative hypothesis

    • 6-2 Test statistic

    • 6-3 Mean Tests

    • 6-4 Variance Test

    • 6-5 Type I and Type II Error

    • 7-1 Ordinary Least Squares

    • 7-2 Measuring Model Fit

    • 7-3 OLS Parameter Estimators

    • 7-4 Hypothesis Testing for Regression Coefficients

    • 8-1 Multiple Linear Regression

    • 8-2 Measures of Fit

    • 8-3 Hypothesis Testing in Multiple Linear Regression

    • 8-4 ANOVA

    • 9-1 Omitted Variables

    • 9-2 Heteroskedasticity

    • 9-3 Multicollinearity

    • 9-4 Outliers

    • 9-5 The Bias-Variance Tradeoff

    • 10-1 Cycle

    • 10-2 White Noise and Wold’s Theorem

    • 10-3 AR, MA and ARMA(1)

    • 10-3 AR, MA and ARMA(2)

    • 11-1 Trend and Seasonality

    • 11-2 Random Walk and Unit Roots

    • 12-1 Returns and Volatility

    • 12-2 Measuring Correlations

    • 12-3 The Distribution of Financial Returns

    • 13-1 Simulation Random Variables

    • 13-2 Bootstrapping

  • 3.金融市場產(chǎn)品

    • 1-1 Types of Banks

    • 1-2 The risk in Banking

    • 1-3 Bank Regulation

    • 1-4 Deposit Insurance

    • 1-5 Investment Banking

    • 1-6 Conflicts of interest

    • 1-7 The Originate-to-Distribute Model

    • 2-1 Categories of insurance companies

    • 2-2 Life Insurance

    • 2-3 Pension Plans

    • 2-4 Property and Casualty Insurance

    • 2-5 Moral hazard and adverse slection

    • 2-6 Regulation

    • 3-1 Mutual funds

    • 3-2 Exchange-Traded Funds

    • 3-3 Undesirable Trading Behavior

    • 3-4 Hedge funds

    • 3-5 Types of Hedge funds

    • 3-6 Research of Returns

    • 4-1 Clearing

    • 4-2 Exchanges

    • 4-3 How CCPs handle Credit Risk

    • 4-4 Over the Counter Markets

    • 5-1 The operation of CCPs

    • 5-2 Regulations of OTC derivatives Markets

    • 5-3 Standard and Non-Standard transactions

    • 5-4 The Move to Central Clearing

    • 5-5 Impacts of Central Clearing on Financial Markets

    • 5-6 Clearing Members and Non-Members

    • 5-7 Advantages and Disadvantages of CCPs

    • 5-8 CCP Risks

    • 6-1 Interest rate&Compounding

    • 6-2 Spot rates and Forward rates

    • 6-3 Three theories of term structure

    • 6-4 Bond pricing &Quotations bond

    • 6-5 Accrued Interest

    • 6-6 Duration and convexity

    • 7-1 Bond issuance

    • 7-2 Bond trading

    • 7-3 Bond indentures

    • 7-4 Types of corporate bonds

    • 7-5 Bonds retiring

    • 7-6 Bond risk

    • 7-7 Recovery rate and Default rate

    • 7-8 High-yield bonds

    • 7-9 Expected return from bond investment

    • 8-1 Derivatives

    • 8-2 Forward and Futures contract

    • 8-3 Swap

    • 8-4 Option

    • 8-5 Market Participants

    • 8-6 Strategies and Payoffs

    • 9-1 Specification of Futures

    • 9-2 Commodity Characteristics

    • 9-3 Basis

    • 9-4 Termination & Delivery

    • 9-5 Margins

    • 9-6 Marking to market

    • 9-7 Trading orders

    • 9-8 Contango and backwardation

    • 10-1 Investment Assets and Consumption Assets

    • 10-2 Short Selling and Short Squeeze

    • 10-3 Forward Pricing

    • 10-4 Arbitrage transaction

    • 10-5 The Value of a Forwards Contract

    • 10-6 Relation between forward and futures prices

    • 11-1 Quotes

    • 11-2 Estimating FX Risk

    • 11-3 Multi-currency heding using options

    • 11-4 Determinations of exchange rates

    • 11-5 Foreign exchange exposure

    • 11-6 Nominal and real interst rates

    • 11-7 Interest rate parity

    • 12-1 Forward Rate Agreements

    • 12-2 T-Bond Futures

    • 12-3 Eurodollar Futures

    • 12-4 Duration-Based Hedging

    • 13-1 Hedges basic

    • 13-2 Basis Risk

    • 13-3 Optimal hedge rations

    • 13-4 Hedge Equity Positions

    • 13-5 Duration-Based Hedging

    • 13-6 Creating long-term hedges

    • 14-1 Interest rate swap

    • 14-2 Currency swap

    • 15-1 Calls and Puts

    • 15-2 Exchange-traded options on stocks

    • 15-3 Option trading

    • 15-4 Margin requirements

    • 15-5 Other option-like securities

    • 16-1 Factors of option price

    • 16-2 Price bounds of options

    • 16-3 Put-call parity

    • 17-1 Simple Strategies

    • 17-2 Spread strategies

    • 17-3 Combination strategies

    • 18-1 Exotic Options

    • 19-1 Mortgages types

    • 19-2 Monthly payments

    • 19-3 Prepayments and factors

    • 19-4 Securitization- MBS

    • 19-5 Agency mortgage-backed securities

    • 19-6 Other Agency Products

    • 19-7 Valuation of an MBS Pool

    • 19-8 Option adjusted spread

  • 4. 估值與風險模型

    • 科目介紹

    • 1-1 The Mean-Variance Framework

    • 1-2 VaR

    • 1-3 Expected Shortfall

    • 1-4 Coherent Risk Measures

    • 2-1 Historical Simulation

    • 2-2 The Delta-Normal Model

    • 2-3 The Delta-Gamma Model

    • 2-4 Monte Carlo Simulation

    • 3-1 Deviations From Normality

    • 3-2 Historical Standard Deviation Method

    • 3-3 Exponentially Weighted Moving Average Model

    • 3-4 GARCH

    • 3-5 Implied Volatility

    • 3-6 Correlation

    • 4-1 Rating Scales

    • 4-2 Historical Performance

    • 4-3 The Rating Process

    • 4-4 Alternative to Ratings

    • 4-5 Internal Ratings

    • 4-6 Ratings Transitions

    • 4-7 The Rating of Structured Products

    • 5-1Evaluation of Risk

    • 5-2 Total Risk

    • 5-3 Sovereign Credit Risk

    • 5-4 Sovereign Credit Rating

    • 5-5 Sovereign Default Spread

    • 6-1 Background

    • 6-2 The Mean and Standard Deviation of Credit losses

    • 6-3 The Gaussian Copula Model

    • 6-4 The Vasicek Model

    • 6-5 Creditmetrics

    • 6-6 Risk Allocation

    • 6-7 Challenges

    • 7-1 large Risks

    • 7-2 Measure of Operational Risk Capital - BIA

    • 7-3 Measure of Operational Risk Capital - SA

    • 7-4 Measure of Operational Risk Capital - AMA

    • 7-5 Measure of Operational Risk Capital - SMA

    • 7-6 Potential Biased

    • 7-7 Reducing Operational Risk

    • 7-8 Insurance

    • 8-1 Stress Testing Versus VaR and ES

    • 8-2 Choosing Scenarios

    • 8-3 Stress Testing

    • 8-4 Governance

    • 8-5 Basel Stress-Testing Principles

    • 9-1 Treasury Bills and Treasury Bonds

    • 9-2 The Law of One Price and Arbitrage

    • 9-3 Discount Factors From Coupon-Bearing Bonds

    • 10-1 Measuring Interest Rates

    • 10-2 Spot Rates

    • 10-3 Par Rates

    • 10-4 Forward Rates

    • 10-5 Properties of Spot, Forward, and Par rates

    • 10-6 Other Rates

    • 10-7 Flattening and Steepening Term Structures

    • 11-1 Realized Return and Spread

    • 11-2 Yield to Maturity

    • 11-3 Return Decomposition

    • 12-1 Yield Duration

    • 12-2 Curve Duration

    • 12-3 Convexity

    • 12-4 Constructing Portfolio

    • 13-1 Principal Components Analysis

    • 13-2 Key Rate 01S

    • 13-3 Bucketing Approach

    • 14-1 One-step Tress

    • 14-2 Two-step Trees

    • 14-3 Risk Neutral Valuation

    • 14-4 Valuation of Options

    • 14-5 Altered Binomial Model

    • 14-6 Binomial Trees

    • 15-1 The Black-Scholes-Merton Model

    • 16-1 Greeks

職場加油站——行業(yè)洞察力

  • 1.會計師事務所——管理咨詢

    • 會計師事務所——管理咨詢

  • 2.會計師事務所——審計

    • 會計師事務所——審計

  • 3.會計師事務所——稅務

    • 會計師事務所——稅務

  • 4.會計師事務所——風險咨詢

    • 風險咨詢

  • 5.500強企業(yè)——內(nèi)審

    • 500強企業(yè)——內(nèi)審

  • 6.500強企業(yè)——財務工作前景

    • 500強企業(yè)財務工作前景

  • 7.金融機構(gòu)——投行

    • 1.投行簡要介紹

    • 2.投行起源與發(fā)展

    • 3.投行業(yè)務類型

    • 4.投行招聘與規(guī)劃

  • 8.金融機構(gòu)——私募

    • 金融機構(gòu)——私募

  • 9.金融機構(gòu)——行業(yè)研究

    • 1 - 行研簡要介紹

    • 2 - 行研工作內(nèi)容

    • 3 - 行研薪酬體系

    • 4 - 行研招聘要求

  • 10.金融機構(gòu)——資產(chǎn)管理

    • 金融機構(gòu)——資產(chǎn)管理

  • 11.行業(yè)變革與未來

    • 1.介紹

    • 2.引入篇-西洋跳棋&國際跳棋

    • 3.引入篇-圍棋&AlphaZero

    • 4.原理篇-大數(shù)據(jù)(1)

    • 5.原理篇-大數(shù)據(jù)(2)

    • 6.原理篇-人工智能

    • 7.原理篇-區(qū)塊鏈

    • 8.未來篇-AI帶來的變化

    • 9.未來篇-AI的風險

    • 10.未來篇-AI的個人應對

職場加油站——求職技能

  • 1.職場形象與商務禮儀

    • 職場形象與商務禮儀

  • 2.贏在簡歷

    • 贏在簡歷

  • 3.四大招聘流程簡介

    • 四大招聘流程簡介

職場生存寶典——高效辦公

  • 1.Excel商務運用技巧

    • Excel商務運用技巧

  • 2.教你做出眼前一亮的PPT

    • 教你做出眼前一亮的PPT

  • 3.高效辦公的Word必修課

    • 高效辦公的Word必修課

  • 4.WIND數(shù)據(jù)庫的使用方法

    • M1-1 Wind數(shù)據(jù)庫介紹

    • M1-2 Wind數(shù)據(jù)庫介紹

    • M1-3 Wind數(shù)據(jù)庫介紹

    • M1-4 Wind數(shù)據(jù)庫介紹

    • M1-5 Wind數(shù)據(jù)庫介紹

    • M1-6 Wind數(shù)據(jù)庫介紹

    • M1-7 Wind數(shù)據(jù)庫介紹

    • M2-1 權(quán)益研究重點功能

    • M2-2 權(quán)益研究重點功能

    • M3-1 債券研究-交易重點功能

    • M3-2 債券研究-交易重點功能

    • M3-3 債券研究-交易重點功能

    • M4 基金研究重點功能

    • M5 組合管理

大學生能力拓展課程

  • 1.大學生最值得參加的商賽實訓

    • 大學生最值得參加的商賽實訓

  • 2.高效學習,快人一步

    • 拒絕拖延 高效學習

Python金融實戰(zhàn)課

  • 1.第一章 介紹

    • 1-1 安裝

    • 1-2 前導

    • 1-3 編寫第一個程序-Hello World

    • 1-4 隨堂練習

    • 5 - Python 中的函數(shù)

    • 1-6 隨堂練習

    • 1-7 一個稍微復雜的程序示例-Chaos

    • 1-8 隨堂練習和第一章總結(jié)

  • 2.第二章 編寫簡單的程序

    • 2-1 示例程序——匯率換算

    • 2-2 程序要素——名稱

    • 2-3 隨堂練習

    • 2-4 程序要素——表達式

    • 2-5 程序要素——輸出語句

    • 2-6 程序要素——賦值語句

    • 2-7 隨堂練習

    • 2-8 程序要素——確定循環(huán)

    • 2-9 示例程序——計算終值

    • 2-10 隨堂練習

    • 2-11 第二章總結(jié)

  • 3.第三章 數(shù)值計算

    • 3-1 Python 中數(shù)值類型

    • 3-2 類型的轉(zhuǎn)換

    • 3-3 隨堂練習

    • 3-4 Python 中的 Math 庫

    • 5 - 原地運算

    • 3-6 第三章總結(jié)

  • 4.第四章 字符串

    • 4.1 索引和切片

    • 4-2 隨堂練習

    • 4-3 字符串的操作

    • 4-4 示例程序——生成用戶名

    • 4-5 示例程序——月份縮寫

    • 4-6 Python 中的列表

    • 4-7 示例程序——月份縮寫(升級版)

    • 4-8 列表與字符串

    • 4-9 隨堂練習

    • 4-10 字符串編碼

    • 4-11 示例程序——編碼器

    • 4-12 字符串方法

    • 4-13 示例程序——編碼器

    • 4-14 長字符串

    • 4-15 格式化輸出

    • 4-16 文件處理

    • 4-17 示例程序——批處理

    • 4-18 文件對話框

    • 4-19 章節(jié)總結(jié)——第四章

  • 5.第五章 定義函數(shù)

    • 5-1 示例程序——生日歌

    • 5-2 函數(shù)的定義和調(diào)用

    • 5-3 定義多個參數(shù)的函數(shù)

    • 5-4 有返回值的函數(shù)

    • 5-5 修改參數(shù)的函數(shù)

    • 5-6 默認參數(shù)

    • 5-7 不定長參數(shù)

    • 5-8 隨堂練習

    • 5-9 匿名函數(shù)

    • 5-10 章節(jié)總結(jié)——第五章

  • 6.第六章 條件結(jié)構(gòu)

    • 6-1 條件結(jié)構(gòu)

    • 6-2 示例程序——溫度警告

    • 6-3 條件判斷語句

    • 6- 4 條件結(jié)構(gòu)的類型

    • 6-5 單路判斷和兩路判斷

    • 6-6 隨堂練習

    • 6-7 多路判斷

    • 6-8 隨堂練習

    • 6-9 處理多個條件

    • 6-10 異常處理

    • 6-11 三元表達式

    • 6-12 章節(jié)總結(jié)——第六章

    • 6-13 隨堂練習

  • 7.第七章 循環(huán)結(jié)構(gòu)

    • 7-1 確定循環(huán)

    • 7-2 while 語句

    • 7-3 交互式循環(huán)

    • 7-4 哨兵循環(huán)

    • 7-5 文件循環(huán)

    • 7-6 嵌套循環(huán)

    • 7-7 隨堂練習

    • 7-8 break 和 continue 語句

    • 7-9 章節(jié)總結(jié)——第七章

  • 8.第八章 模擬與設計

    • 8-1 隨機數(shù)

    • 8-2 示例程序——計算圓周率

    • 8-3 示例程序——壁球游戲

  • 9.第九章 模塊與封裝

    • 9-1 自定義模塊

    • 9-2 導入同級目錄下的模塊

    • 9-3 導入不同級目錄下的模塊

    • 9-4 __name__ 屬性

  • 10.第十章 Python Principal

    • 10-1 數(shù)據(jù)類型

    • 10-2 輸入與輸出

    • 10-3 函數(shù)

    • 10-4 選擇結(jié)構(gòu)

    • 10-5 循環(huán)結(jié)構(gòu)

    • 10-6 模塊

    • 10-7 隨機數(shù)

    • 10-8 模擬與設計

  • 11.第十一章 其他專題

    • 11-1 海龜作圖

    • 11-2 使用 with 進行文件操作

  • 12.第十二章 遞歸(選學)

    • 12-1 示例程序——計算階乘

    • 12-2 示例程序——反轉(zhuǎn)字符串

    • 12-3 示例程序——漢諾塔

    • 12-4 效率問題

    • 12-5 示例程序——Fibonacci

    • 12-6 示例程序——分形樹

  • 13.第十三章 數(shù)據(jù)集合

    • 13-1 列表

    • 13-2 隨堂練習

    • 13-3 元組

    • 13-4 字典

    • 13-5 集合

  • 14.第十四章 高級語法

    • 14-1 生成表達式

    • 14-2 高階函數(shù)

  • 15.第十五章 Numpy

    • 15-1 Numpy 數(shù)組的介紹

    • 15-2 使用列舉創(chuàng)建數(shù)組

    • 15-3 數(shù)組的屬性

    • 15-4 創(chuàng)建等差數(shù)組

    • 15-5 創(chuàng)建隨機數(shù)組

    • 15-6 其他創(chuàng)建數(shù)組的方法

    • 15-7 數(shù)組的數(shù)據(jù)類型

    • 15-8 索引和切片

    • 15-9 布爾索引

    • 15-10 智能索引

    • 15-11 數(shù)組的形態(tài)操作

    • 15-12 數(shù)組的運算

    • 15-13 通用函數(shù)

    • 15-14 統(tǒng)計函數(shù)

    • 15-15 數(shù)組的遍歷

    • 15-16 線性代數(shù)

  • 16.第十六章 廣播和布爾索引

    • 16-1 廣播

    • 16-2 布爾數(shù)組和布爾索引

  • 17.第十七章 Pandas I

    • 17-1 DataFrame 數(shù)據(jù)結(jié)構(gòu)

    • 17-2 Series 數(shù)據(jù)結(jié)構(gòu)

    • 17-3 數(shù)據(jù)表的讀寫

    • 17-4 提取數(shù)據(jù)表的行和列

    • 17-5 提取數(shù)據(jù)表的某一區(qū)域

    • 17-6 DataFrame 中的作圖

    • 17-7 新增字段

  • 18.第十八章 Pandas II

    • 18-1 重命名

    • 18-2 整體統(tǒng)計與分組統(tǒng)計

    • 18-3 數(shù)據(jù)表的排序

    • 18-4 Long to Wide

    • 18-5 數(shù)據(jù)透視表

    • 18-6 Wide to Long

    • 18-7 數(shù)據(jù)表的縱向合并

    • 18-8 數(shù)據(jù)表的橫向合并

    • 18-9 處理時間序列數(shù)據(jù)

    • 18-10 處理文本數(shù)據(jù)

  • 19.第十九章 Pandas III

    • 19-1 創(chuàng)建 Series

    • 19-2 將 Series 轉(zhuǎn)換為 Numpy Array

    • 19-3 Series 的索引和切片

    • 19-4 Series 的運算

    • 19-5 創(chuàng)建 DataFrame

    • 19-6 丟棄數(shù)據(jù)

    • 19-7 設置 Index

    • 19-8 DataFrame 的索引和切片

    • 19-9 向 DataFrame 中添加列

    • 19-10 滾動計算

  • 20.第二十章 缺失值的處理

    • 20-1 None 與 NaN

    • 20-2 處理 Pandas 中的缺失值

  • 21.第二十一章 數(shù)據(jù)可視化 I

    • 21-1 Stateful approach

    • 21-2 Stateless approach

    • 21-3 調(diào)整圖形

    • 21-4 常用圖形

  • 22.第二十二章 數(shù)據(jù)可視化 II

    • 22-1 單組數(shù)據(jù)的可視化

    • 22-2 多組數(shù)據(jù)關(guān)系的可視化

  • 23. 第二十三章 獲取金融數(shù)據(jù)

    • 23-1 tushare

    • 23-2 pandas-datareader

  • 24.第二十四章 面向?qū)ο蟪绦蛟O計(選學)

    • 24-1 類和對象

    • 24-2 類的方法

    • 24-3 二叉樹模型

    • 24-4 模型實現(xiàn)

  • 25.課后練習

    • 26-1 課后練習1

    • 26-2 課后練習2

    • 26-3 課后練習3

    • 26-4 課后練習4

    • 26-5 課后練習5

  • 26.經(jīng)典案例

    • 27-1 Cases —— 哥德巴赫猜想

    • 27-2 Cases —— 隨機游走

    • 27-3 Cases —— 策略回測函數(shù)的 Excel實現(xiàn)

    • 27-4 Cases —— Titanic 幸存分析

    • 27-5 Cases —— 板塊分析

    • 27-6 Cases —— 生命游戲

    • 27-7 Cases —— 股債長期收益分析

    • 27-8 Cases —— 賭博游戲

  • 27.微課堂

    • 爬蟲

    • 注釋和快捷鍵

    • 文件和文件夾的處理

財務分析與估值建模

  • 1.前導課

    • 1-1 財務分析與估值建模課程介紹

    • 1-2 如何閱讀財務報告

    • 1-3 認識資產(chǎn)負債表

    • 1-4 認識現(xiàn)金流量表

    • 1-5 認識利潤表

  • 2.財務分析

    • 2-1 財務分析的核心指標

    • 2-2 基于企業(yè)盈利鏈的財務分析框架

    • 2-3 毛利率分析

    • 2-4 存貨中的財務詭計

    • 2-5 一招提高 ROE

    • 2-6 費用以及損益

    • 2-7 周轉(zhuǎn)率分析

    • 2-8 資產(chǎn)負債率分析

    • 2-9 現(xiàn)金流量分析

    • 2-10 京滬高鐵

    • 2-11 華測檢測

  • 3.財務風險識別

    • 3-1 財務舞弊

    • 3-2 盈余管理方法

    • 3-3 東阿阿膠

    • 3-4 財務風險識別

    • 3-5 康美藥業(yè)

    • 3-6 康得新

    • 3-6 樂視網(wǎng)

  • 4.股權(quán)激勵

    • 4-1 股權(quán)激勵的概念

    • 4-2 股權(quán)激勵的要點

    • 4-3 瀘州老窖

    • 4-4 美的集團

    • 4-5 伊利股份

    • 4-6 ST凱迪

  • 5.估值建模

    • 5-1 相對估值法

    • 5-2 正確理解市盈率變動

    • 5-3 絕對估值法

    • 5-4 自由現(xiàn)金流折現(xiàn)模型

    • 5-6 貴州茅臺

    • 5-7 伊利股份

    • 5-8 上海機場

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