#### 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