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

Section 2 : Course Materials and Set-up
Lecture 1 Note on yml File
Lecture 2 Course Installation Guide 00:08:40 Duration

Section 3 : Python Crash Course
Lecture 1 Welcome to the Python Crash Course 00:00:13 Duration
Lecture 2 Introduction to Crash Course 00:01:10 Duration
Lecture 3 Python Crash Course Part One 00:18:51 Duration
Lecture 4 Python Crash Course Part Two 00:13:31 Duration
Lecture 5 Python Crash Course Part Three 00:14:56 Duration
Lecture 6 Python Crash Course Exercises 00:04:08 Duration
Lecture 7 Python Crash Course Exercise Solutions 00:08:59 Duration

Section 4 : NumPy
Lecture 1 Welcome to NumPy 00:00:23 Duration
Lecture 2 Welcome to NumPy 00:00:16 Duration
Lecture 3 Introduction to NumPy 00:01:38 Duration
Lecture 4 Introduction to NumPy 00:01:31 Duration
Lecture 5 NumPy Arrays 00:15:48 Duration
Lecture 6 NumPy Arrays 00:15:39 Duration
Lecture 7 Numpy Operations 00:04:19 Duration
Lecture 8 Numpy Operations 00:04:13 Duration
Lecture 9 Numpy Indexing 00:10:54 Duration
Lecture 10 Numpy Indexing 00:10:45 Duration
Lecture 11 NumPy Review Exercise 00:04:10 Duration
Lecture 12 NumPy Review Exercise 00:04:05 Duration
Lecture 13 Numpy Exercise Solutions 00:09:52 Duration
Lecture 14 Numpy Exercise Solutions 00:09:44 Duration

Section 5 : General Pandas Overview
Lecture 1 Welcome to Pandas 00:00:17 Duration
Lecture 2 Introduction to Pandas 00:02:27 Duration
Lecture 3 Series 00:06:58 Duration
Lecture 4 DataFrames 00:15:26 Duration
Lecture 5 DataFrames Part Two
Lecture 6 DataFrames Part Three 00:08:56 Duration
Lecture 7 Missing Data 00:06:06 Duration
Lecture 8 Group By with Pandas 00:06:30 Duration
Lecture 9 Merging, Joining, and Concatenating DataFrames 00:09:03 Duration
Lecture 10 Pandas Common Operations 00:12:05 Duration
Lecture 11 Data Input and Output 00:13:42 Duration
Lecture 12 General Pandas Review Exercises 00:03:01 Duration
Lecture 13 General Pandas Exercise Solutions 00:12:45 Duration

Section 6 : Visualization with Matplotlib and Pandas
Lecture 1 Welcome to Visualization 00:00:17 Duration
Lecture 2 Introduction to Visualization in Python 00:01:42 Duration
Lecture 3 Matplotlib Basics - Part One 00:18:38 Duration
Lecture 4 Matplotlib Basics - Part Two 00:15:26 Duration
Lecture 5 Matplotlib Part Three 00:11:36 Duration
Lecture 6 Matplotlib Exercise 00:03:37 Duration
Lecture 7 Matplotlib Exercise Solutions 00:10:01 Duration
Lecture 8 Pandas Visualization Overview 00:11:57 Duration
Lecture 9 Pandas Time Series Visualization 00:17:23 Duration
Lecture 10 Pandas Visualization Exercise Overview 00:01:13 Duration
Lecture 11 Pandas Visualization Exercise Solutions

Section 7 : Data Sources
Lecture 1 Introduction to Data Sources 00:01:14 Duration
Lecture 2 Note on Pandas Datareader
Lecture 3 Pandas DataReader 00:04:30 Duration
Lecture 4 Quandl 00:10:12 Duration

Section 8 : Pandas with Time Series Data
Lecture 1 Welcome to Pandas for Time Series 00:00:08 Duration
Lecture 2 Introduction to Time Series with Pandas 00:00:53 Duration
Lecture 3 Datetime Index 00:09:21 Duration
Lecture 4 Time Resampling 00:12:41 Duration
Lecture 5 Time Shifts 00:05:44 Duration
Lecture 6 Pandas Rolling and Expanding 00:17:44 Duration

Section 9 : Capstone Stock Market Analysis Project
Lecture 1 Welcome to the Capstone Project! 00:00:24 Duration
Lecture 2 Stock Market Analysis Project 00:06:31 Duration
Lecture 3 Stock Market Analysis Project Solutions Part One 00:20:15 Duration
Lecture 4 Python Stock Market Analysis Solutions - Part Two 00:09:25 Duration
Lecture 5 Stock Market Analysis Project Solutions Part Three 00:16:41 Duration
Lecture 6 Stock Market Analysis Project Solutions Part Four 00:08:17 Duration

Section 10 : Time Series Analysis
Lecture 1 Welcome to Time Series Analysis 00:00:27 Duration
Lecture 2 Introduction to Time Series 00:02:43 Duration
Lecture 3 Time Series Basics 00:03:52 Duration
Lecture 4 Introduction to Statsmodels 00:12:24 Duration
Lecture 5 ETS Theory 00:04:10 Duration
Lecture 6 EWMA Theory 00:02:42 Duration
Lecture 7 EWMA Code Along 00:14:18 Duration
Lecture 8 ETS Code Along 00:06:18 Duration
Lecture 9 ARIMA Theory 00:09:26 Duration
Lecture 10 ACF and PACF 00:06:15 Duration
Lecture 11 ARIMA with Statsmodels 00:11:35 Duration
Lecture 12 Quick Note on Second Milk Difference!
Lecture 13 ARIMA Code Part Two 00:13:53 Duration
Lecture 14 ARIMA Code Part Three 00:06:41 Duration
Lecture 15 ARIMA Code Part Four 00:14:05 Duration
Lecture 16 Discussion on choosing PDQ

Section 11 : Python Finance Fundamentals
Lecture 1 Welcome to Finance Fundamentals 00:00:30 Duration
Lecture 2 Introduction to Python Finance Fundamentals 00:00:43 Duration
Lecture 3 Sharpe Ratio Slides 00:07:08 Duration
Lecture 4 Portfolio Allocation Code Along Part One 00:15:20 Duration
Lecture 5 Portfolio Allocation Code Along Part Two 00:06:33 Duration
Lecture 6 Portfolio Optimization 00:05:07 Duration
Lecture 7 Portfolio Optimization Code Along One 00:14:35 Duration
Lecture 8 Portfolio Optimization Code Along Two 00:07:40 Duration
Lecture 9 Portfolio Optimization Code Along Three 00:16:25 Duration
Lecture 10 Key Financial Topics
Lecture 11 Types of Funds 00:06:01 Duration
Lecture 12 Order Books 00:14:27 Duration
Lecture 13 Short Selling 00:02:30 Duration
Lecture 14 CAPM - Capital Asset Pricing Model 00:05:14 Duration
Lecture 15 CAPM Code Along 00:12:04 Duration
Lecture 16 Stock Splits and Dividends 00:03:09 Duration
Lecture 17 EMH 00:01:54 Duration

Section 12 : Basics of Algorithmic Trading with Quantopian and Zipline
Lecture 1 Note on Quantopian and Zipline
Lecture 2 Welcome to the Quantopian Section 00:00:19 Duration
Lecture 3 Introduction to Quantopian 00:09:19 Duration
Lecture 4 Quantopian Algorithms Basics Part One 00:16:10 Duration
Lecture 5 Quantopian Algorithms Basics Part Two
Lecture 6 First Trading Algorithm - Part One
Lecture 7 First Trading Algorithm - Part Two 00:16:37 Duration
Lecture 8 Trading Algorithm Exercise 00:04:46 Duration
Lecture 9 Trading Algorithm Exercise Solutions Part One 00:12:30 Duration
Lecture 10 Trading Algorithm Exercise Solutions Part Two 00:02:33 Duration
Lecture 11 Quantopian Pipelines Factors 00:16:53 Duration
Lecture 12 Quantopian Pipelines Filters 00:05:52 Duration
Lecture 13 Quantopian Pipeline - Masking and Classifiers 00:09:08 Duration

Section 13 : Advanced Quantopian and Trading Algorithms
Lecture 1 Welcome to Trading Algorithms 00:00:42 Duration
Lecture 2 Pipeline Trading Algorithm Example - Code Along - Part One 00:13:28 Duration
Lecture 3 Pipeline Trading Algorithm - Code Along - Part Two 00:10:18 Duration
Lecture 4 Quick note
Lecture 5 Pipeline Trading Algorithm Code along Part Three 00:19:20 Duration
Lecture 6 Leverage 00:12:41 Duration
Lecture 7 Hedging 00:14:12 Duration
Lecture 8 Hedging- Part Two 00:14:49 Duration
Lecture 9 Portfolio Analysis with PyFolio 00:15:15 Duration
Lecture 10 Stock Sentiment Analysis Project 00:16:15 Duration
Lecture 11 What are Futures 00:08:56 Duration
Lecture 12 Futures on Quantopian 00:18:12 Duration
Lecture 13 Futures on Quantopian Part Two 00:20:22 Duration