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01 – Time Series Analysis and Forecasting with Python
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001 Time Series Analysis and Forecasting with Python
01:16
002 Course Introduction
02:39
Attachments
004 Diogo’s Introduction and Background
02:29
005 Unlimited Updates and Enhancements 2025
01:20
02 – PART 1 – TIME SERIES ANALYSIS
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007 Time Series Analysis Overview
02:49
03 – Introduction to Time Series Forecasting
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Attachments
008 Game Plan for Introduction to Time Series Forecasting
02:19
009 What is Time Series Data
02:40
010 Python – Libraries and Data
03:51
011 Python – Time Series Index
09:09
012 Python – Exploratory Data Analysis
08:27
013 Python – Data Visualization
07:57
014 Python – Data Manipulation
10:21
015 Seasonal Decomposition
03:38
016 Python – Seasonal Plots
08:42
017 Python – Seasonal Decomposition
10:41
018 Auto-Correlation
02:16
019 Python – Auto-correlation
06:49
020 Partial Auto-Correlation
02:38
021 Python – Partial Auto-Correlation
04:48
022 Python – Building a Useful Function Script
04:00
023 Can you predict stock prices
02:56
024 What did we learn in this section
01:54
025 CASE STUDY Forecasting Gone Wrong
04:42
026 Will you help me
00:52
04 – Exponential Smoothing & Holt-Winters
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028 Game Plan For Exponential Smoothing and Holt-Winters
02:27
029 CASE STUDY BRIEFING Customer Complaints
02:28
030 Python – Set Up
07:22
031 Python – Data Processing
05:41
032 Python – Exploratory Data Analysis
07:51
033 Training and Test Set in Time Series
02:38
034 Python – Training and Test Set
03:25
035 Simple Exponential Smoothing
04:27
036 Python – Simple Exponential Smoothing
07:34
037 Double Exponential Smoothing
03:07
038 Python – Double Exponential Smoothing
06:35
039 Triple Exponential Smoothing aka Holt-Winters
04:29
040 Python – Triple Exponential Smoothing aka Holt-Winters
04:08
041 Measuring Errors for Time Series Forecasting
06:20
042 Python – MAE, RMSE, MAPE
10:52
043 Python – Predicting The Future
06:26
044 Python – Daily Data
08:59
045 Python – Working on the Useful Code Script
02:30
046 Holt-Winter Pros and Cons
03:46
05 – HOLT-WINTERS CAPSTONE PROJECT Air miles
0/3
047 Project Presentation Air miles
01:14
048 Python Solutions Setting up and EDA
17:06
049 Python Solutions Model building and Assessment
08:58
Master Time Series Analysis and Forecasting with Python 2025
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