Section 1 : Course Introduction

 		Lecture 1 INTRODUCTION TO BRAINMEASURES PROCTOR SYSTEM Pdf
Lecture 2 About Proctor Testing Pdf
Lecture 3 Did you skip the last lecture Please go back and view it! Text
Lecture 4 Remove - INTRODUCTION TO BRAINMEASURES PROCTOR SYSTEM Pdf

Section 2 : Course Materials and Set-up

 		Lecture 5 Note on yml File Text
Lecture 6 Course Installation Guide 8:40

Section 3 : Python Crash Course

 		Lecture 7 Welcome to the Python Crash Course 0:13
Lecture 8 Introduction to Crash Course 1:10
Lecture 9 Python Crash Course Part One 18:51
Lecture 10 Python Crash Course Part Two 13:31
Lecture 11 Python Crash Course Part Three 14:56
Lecture 12 Python Crash Course Exercises 4:8
Lecture 13 Python Crash Course Exercise Solutions 8:59

Section 4 : NumPy

 		Lecture 14 Welcome to NumPy 0:23
Lecture 14 Welcome to NumPy 0:16
Lecture 15 Introduction to NumPy 1:38
Lecture 15 Introduction to NumPy 1:31
Lecture 16 NumPy Arrays 15:48
Lecture 16 NumPy Arrays 15:39
Lecture 17 Numpy Operations 4:19
Lecture 17 Numpy Operations 4:13
Lecture 18 Numpy Indexing 10:54
Lecture 18 Numpy Indexing 10:45
Lecture 19 NumPy Review Exercise 4:10
Lecture 19 NumPy Review Exercise 4:5
Lecture 20 Numpy Exercise Solutions 9:52
Lecture 20 Numpy Exercise Solutions 9:44

Section 5 : General Pandas Overview

 		Lecture 21 Welcome to Pandas 0:17
Lecture 22 Introduction to Pandas 2:27
Lecture 23 Series 6:58
Lecture 24 DataFrames 15:26
Lecture 25 DataFrames Part Two
Lecture 26 DataFrames Part Three 8:56
Lecture 27 Missing Data 6:6
Lecture 28 Group By with Pandas 6:30
Lecture 29 Merging, Joining, and Concatenating DataFrames 9:3
Lecture 30 Pandas Common Operations 12:5
Lecture 31 Data Input and Output 13:42
Lecture 32 General Pandas Review Exercises 3:1
Lecture 33 General Pandas Exercise Solutions 12:45

Section 6 : Visualization with Matplotlib and Pandas

 		Lecture 34 Welcome to Visualization 0:17
Lecture 35 Introduction to Visualization in Python 1:42
Lecture 36 Matplotlib Basics - Part One 18:38
Lecture 37 Matplotlib Basics - Part Two 15:26
Lecture 38 Matplotlib Part Three 11:36
Lecture 39 Matplotlib Exercise 3:37
Lecture 40 Matplotlib Exercise Solutions 10:1
Lecture 41 Pandas Visualization Overview 11:57
Lecture 42 Pandas Time Series Visualization 17:23
Lecture 43 Pandas Visualization Exercise Overview 1:13
Lecture 44 Pandas Visualization Exercise Solutions

Section 7 : Data Sources

 		Lecture 45 Introduction to Data Sources 1:14
Lecture 46 Note on Pandas Datareader Text
Lecture 47 Pandas DataReader 4:30
Lecture 48 Quandl 10:12

Section 8 : Pandas with Time Series Data

 		Lecture 49 Welcome to Pandas for Time Series 0:8
Lecture 50 Introduction to Time Series with Pandas 0:53
Lecture 51 Datetime Index 9:21
Lecture 52 Time Resampling 12:41
Lecture 53 Time Shifts 5:44
Lecture 54 Pandas Rolling and Expanding 17:44

Section 9 : Capstone Stock Market Analysis Project

 		Lecture 55 Welcome to the Capstone Project! 0:24
Lecture 56 Stock Market Analysis Project 6:31
Lecture 57 Stock Market Analysis Project Solutions Part One 20:15
Lecture 58 Python Stock Market Analysis Solutions - Part Two 9:25
Lecture 59 Stock Market Analysis Project Solutions Part Three 16:41
Lecture 60 Stock Market Analysis Project Solutions Part Four 8:17

Section 10 : Time Series Analysis

 		Lecture 61 Welcome to Time Series Analysis 0:27
Lecture 62 Introduction to Time Series 2:43
Lecture 63 Time Series Basics 3:52
Lecture 64 Introduction to Statsmodels 12:24
Lecture 65 ETS Theory 4:10
Lecture 66 EWMA Theory 2:42
Lecture 67 EWMA Code Along 14:18
Lecture 68 ETS Code Along 6:18
Lecture 69 ARIMA Theory 9:26
Lecture 70 ACF and PACF 6:15
Lecture 71 ARIMA with Statsmodels 11:35
Lecture 72 Quick Note on Second Milk Difference! Text
Lecture 73 ARIMA Code Part Two 13:53
Lecture 74 ARIMA Code Part Three 6:41
Lecture 75 ARIMA Code Part Four 14:5
Lecture 76 Discussion on choosing PDQ Text

Section 11 : Python Finance Fundamentals

 		Lecture 77 Welcome to Finance Fundamentals 0:30
Lecture 78 Introduction to Python Finance Fundamentals 0:43
Lecture 79 Sharpe Ratio Slides 7:8
Lecture 80 Portfolio Allocation Code Along Part One 15:20
Lecture 81 Portfolio Allocation Code Along Part Two 6:33
Lecture 82 Portfolio Optimization 5:7
Lecture 83 Portfolio Optimization Code Along One 14:35
Lecture 84 Portfolio Optimization Code Along Two 7:40
Lecture 85 Portfolio Optimization Code Along Three 16:25
Lecture 86 Key Financial Topics
Lecture 87 Types of Funds 6:1
Lecture 88 Order Books 14:27
Lecture 89 Short Selling 2:30
Lecture 90 CAPM - Capital Asset Pricing Model 5:14
Lecture 91 CAPM Code Along 12:4
Lecture 92 Stock Splits and Dividends 3:9
Lecture 93 EMH 1:54

Section 12 : Basics of Algorithmic Trading with Quantopian and Zipline

 		Lecture 94 Note on Quantopian and Zipline Text
Lecture 95 Welcome to the Quantopian Section 0:19
Lecture 96 Introduction to Quantopian 9:19
Lecture 97 Quantopian Algorithms Basics Part One 16:10
Lecture 98 Quantopian Algorithms Basics Part Two
Lecture 99 First Trading Algorithm - Part One
Lecture 100 First Trading Algorithm - Part Two 16:37
Lecture 101 Trading Algorithm Exercise 4:46
Lecture 102 Trading Algorithm Exercise Solutions Part One 12:30
Lecture 103 Trading Algorithm Exercise Solutions Part Two 2:33
Lecture 104 Quantopian Pipelines Factors 16:53
Lecture 105 Quantopian Pipelines Filters 5:52
Lecture 106 Quantopian Pipeline - Masking and Classifiers 9:8

Section 13 : Advanced Quantopian and Trading Algorithms

 		Lecture 107 Welcome to Trading Algorithms 0:42
Lecture 108 Pipeline Trading Algorithm Example - Code Along - Part One 13:28
Lecture 109 Pipeline Trading Algorithm - Code Along - Part Two 10:18
Lecture 110 Quick note Text
Lecture 111 Pipeline Trading Algorithm Code along Part Three 19:20
Lecture 112 Leverage 12:41
Lecture 113 Hedging 14:12
Lecture 114 Hedging- Part Two 14:49
Lecture 115 Portfolio Analysis with PyFolio 15:15
Lecture 116 Stock Sentiment Analysis Project 16:15
Lecture 117 What are Futures 8:56
Lecture 118 Futures on Quantopian 18:12
Lecture 119 Futures on Quantopian Part Two 20:22