[Lecture 1: Introduction to Research](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Introduction_to_Research)\
[Lecture 2: Introduction to Python](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Introduction_to_Python)\
[Lecture 3: Introduction to NumPy](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Introduction_to_NumPy)\
[Lecture 4: Introduction to pandas](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Introduction_to_Pandas)\
[Lecture 5: Plotting Data](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Plotting_Data)\
[Lecture 6: Means](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Means)\
[Lecture 7: Variance](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Variance)\
[Lecture 8: Statistical Moments](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Statistical_Moments)\
[Lecture 9: Linear Correlation Analysis](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Linear_Correlation_Analysis)\
[Lecture 10: Instability of Estimates](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Instability_of_Estimates)\
[Lecture 11: Random Variables](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Random_Variables)\
[Lecture 12: Linear Regression](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Linear_Regression)\
[Lecture 13: Maximum Likelihood Estimation](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Maximum_Likelihood_Estimation)\
[Lecture 14: Regression Model Instability](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Regression_Model_Instability)\
[Lecture 15: Multiple Linear Regression](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Multiple_Linear_Regression)\
[Lecture 16: Violations of Regression Models](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Violations_of_Regression_Models)\
[Lecture 17: Model Misspecification](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Model_Misspecification)\
[Lecture 18: Residual Analysis](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Residuals_Analysis)\
[Lecture 19: The Dangers of Overfitting](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/The_Dangers_of_Overfitting)\
[Lecture 20: Hypothesis Testing](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Hypothesis_Testing)\
[Lecture 21: Confidence Intervals](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Confidence_Intervals)\
[Lecture 22: p-Hacking and Multiple Comparisons Bias](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/p-Hacking_and_Multiple_Comparisons_Bias)\
[Lecture 23: Spearman Rank Correlation](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Spearman_Rank_Correlation)\
[Lecture 24: Leverage](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Leverage)\
[Lecture 25: Position Concentration Risk](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Position_Concentration_Risk)\
[Lecture 26: Estimating Covariance Matrices](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Estimating_Covariance_Matrices)\
[Lecture 27: Introduction to Volume, Slippage, and Liquidity](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Introduction_to_Volume_Slippage_and_Liquidity)\
[Lecture 28: Market Impact Models](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Market_Impact_Model)\
[Lecture 29: Universe Selection](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Universe_Selection)\
[Lecture 30: The Capital Asset Pricing Model and Arbitrage Pricing Theory](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/CAPM_and_Arbitrage_Pricing_Theory)\
[Lecture 31: Beta Hedging](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Beta_Hedging)\
[Lecture 32: Fundamental Factor Models](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Fundamental_Factor_Models)\
[Lecture 33: Portfolio Analysis](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Portfolio_Analysis)\
[Lecture 34: Factor Risk Exposure](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Factor_Risk_Exposure)\
Lecture 35: Risk-Constrained Portfolio Optimization\
[Lecture 36: Principal Component Analysis](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/PCA)\
[Lecture 37: Long-Short Equity](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Long-Short_Equity)\
[Lecture 38: Example: Long-Short Equity Algorithm](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Long-Short_Equity)\
[Lecture 39: Factor Analysis with Alphalens](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Factor_Analysis)\
[Lecture 40: Why You Should Hedge Beta and Sector Exposures (Part I)](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Why_Hedge_I)\
[Lecture 41: Why You Should Hedge Beta and Sector Exposures (Part II)](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Why_Hedge_II)\
[Lecture 42: VaR and CVaR](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/VaR_and_CVaR)\
[Lecture 43: Integration, Cointegration, and Stationarity](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Integration_Cointegration_and_Stationarity)\
[Lecture 44: Introduction to Pairs Trading](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Introduction_to_Pairs_Trading)\
[Lecture 45: Example: Basic Pairs Trading Algorithm](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Introduction_to_Pairs_Trading)\
[Lecture 46: Example: Pairs Trading Algorithm](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Introduction_to_Pairs_Trading)\
[Lecture 47: Autocorrelation and AR Models](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Autocorrelation_and_AR_Models)\
[Lecture 48: ARCH, GARCH, and GMM](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/ARCH_GARCH_and_GMM)\
[Lecture 49: Kalman Filters](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Kalman_Filters)\
[Lecture 50: Example: Kalman Filter Pairs Trade](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Kalman_Filters)\
[Lecture 51: Introduction to Futures](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Introduction_to_Futures)\
[Lecture 52: Futures Trading Considerations](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Futures_Trading_Considerations)\
[Lecture 53: Mean Reversion on Futures](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Mean_Reversion_on_Futures)\
[Lecture 54: Example: Pairs Trading on Futures](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Introduction_to_Pairs_Trading)\
[Lecture 55: Case Study: Traditional Value Factor](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Case_Study_Traditional_Value_Factor)\
[Lecture 56: Case Study: Comparing ETFs](https://github.com/quantopian/research_public/tree/master/notebooks/lectures/Case_Study_Comparing_ETFs)\