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Udemy – Master Time Series Analysis and Forecasting with Python 2025-2
0 students
Last updated
Feb 2025
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Overview
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Course content
Sections:
26
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Activities:
0
•
Resources:
322
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Section 1
01. Time Series Analysis and Forecasting with Python
1 Time Series Analysis and Forecasting with Python
2 Course Introduction
4 Diogos Introduction and Background
5 Unlimited Updates and Enhancements 2025
Section 2
02. PART 1 - TIME SERIES ANALYSIS
1 Time Series Analysis Overview
Section 3
03. Introduction to Time Series Forecasting
1 Game Plan for Introduction to Time Series Forecasting
2 What is Time Series Data
3 Python Libraries and Data
4 Python Time Series Index
5 Python Exploratory Data Analysis
6 Python Data Visualization
7 Python Data Manipulation
8 Seasonal Decomposition
9 Python Seasonal Plots
10 Python Seasonal Decomposition
11 Auto Correlation
12 Python Auto correlation
13 Partial Auto Correlation
14 Python Partial Auto Correlation
15 Python Building a Useful Function Script
16 Can you predict stock prices
17 What did we learn in this section
18 CASE STUDY Forecasting Gone Wrong
19 Will you help me
Section 4
04. Exponential Smoothing & Holt-Winters
1 Game Plan For Exponential Smoothing and Holt Winters
2 CASE STUDY BRIEFING Customer Complaints
3 Python Set Up
4 Python Data Processing
5 Python Exploratory Data Analysis
6 Training and Test Set in Time Series
7 Python Training and Test Set
8 Simple Exponential Smoothing
9 Python Simple Exponential Smoothing
10 Double Exponential Smoothing
11 Python Double Exponential Smoothing
12 Triple Exponential Smoothing aka Holt Winters
13 Python Triple Exponential Smoothing aka Holt Winters
14 Measuring Errors for Time Series Forecasting
15 Python MAE RMSE MAPE
16 Python Predicting The Future
17 Python Daily Data
18 Python Working on the Useful Code Script
19 Holt Winter Pros and Cons
Section 5
05. HOLT-WINTERS CAPSTONE PROJECT Air miles
1 Project Presentation Air miles
2 Python Solutions Setting up and EDA
3 Python Solutions Model building and Assessment
Section 6
06. ARIMA, SARIMA and SARIMAX
1 Game Plan for ARIMA SARIMA and SARIMAX
2 CASE STUDY BRIEFING Predicting Daily Revenues
3 Python Setting Up
4 ARIMA
5 Auto Regressive
6 Integrated
7 Python Stationarity with ChatGPT
8 Moving Average
9 Python ARIMA
10 AIC and BIC
11 SARIMA
12 Python SARIMA
13 SARIMAX
14 Python SARIMAX
15 Cross Validation for Time Series
16 Python Cross Validation
17 Parameter Tuning
18 Python Setting the Parameters
19 Python Parameter Tuning
20 Python Parameter Tuning Results
21 Python Predicting The Future Set Up
22 Python Predicting The Future
23 SARIMAX Pros and Cons
Section 7
07. PART 2 MODERN TIME SERIES FORECASTING
1 Modern Time Series Forecasting Overview
Section 8
08. (Facebook) Prophet
1 Game Plan for Facebook Prophet
2 Structural Time Series and Prophet
3 CASE STUDY BRIEFING Bike Sharing
4 Python Directory and Libraries
5 Python Preparing Data
6 Python Exploratory Data Analysis
7 Dynamic Holidays
8 Python Holidays
9 Prophet Model Parameters
10 Python Prophet Model
11 Python Regressor Coefficients with ChatGPT
12 Python Cross Validation
13 Python Performance Metrics
14 Python Fixing 2012 10 29 with ChatGPT
15 Python Feature Engineering
16 Python Parameter Tuning Set Up
17 Python Parameter Tuning
18 Python Parameter Tuning Outcome
19 Python Predicting The Future Set Up
20 Python Tuned Prophet Model
21 Python Forecasting
22 Python Prophet Data Visualization with ChatGPT
23 Prophet Pros and Cons
Section 9
09. CAPTONE PROJECT Prophet
1 Project Introduction
2 Python Challenge Solutions Part 1
3 Python Challenge Solutions Part 2
4 Python Challenge Solutions Part 3
Section 10
10. Linkedin Silverkite
1 Game Plan for Linkedin Silverkite
2 LinkedIn Silverkite
3 Linkedin Silverkite versus Facebook Prophet
5 Python Directory and Libraries
6 Python Loading and Preparing Data
7 Python Metadata
8 Model Components
9 Growth terms
10 Python Growth terms
11 Types of Seasonality
12 Python Seasonality
13 Python Available Countries and Holidays
14 Python Changepoints
15 Lagged Regressors
16 Python Regressors Lagged Regressors and Autoregression
17 Fitting the data
18 Ridge
19 Gradient Boosting Boosting
20 Gradient Boosting Feature Sampling
21 Python Custom Elements and Silverkite Model
22 Python Silverkite Cross Validation
23 Python Parameter Tuning Results
24 Python Visualization and Forecast
25 Linkedin Silverkite Pros and Cons
Section 11
11. PART 3 - DEEP LEARNING FOR TIME SERIES FORECASTING
1 Deep Learning for Time Series Forecasting Overview
Section 12
12. RNN - LSTM
1 Game Plan for LSTM
2 Simple Neural Network
3 Recurrent Neural Networks RNN
4 LSTM
5 Python Directory and Libraries
6 Python EDA
7 Python Time Series Objects
8 Python Time Variables
9 Python Scaling
10 LSTM parameters
11 Activation Functions
12 Python LSTM Model
13 Python Cross Validation
14 Python Cross Validation Performance
15 Python Parameter Grid
16 Python Parameter Tuning Round 1
17 Python Parameter Tuning Round 1 Part 2
18 Python Parameter Tuning Round 2
19 Python Parameter Tuning Final Results
20 Python Tuned LSTM Model
21 Python Predicting The Future
22 Multiple Time Series Forecasting
23 M4 Data set
24 Python Preparing Script and Loading Data
25 Python Preprocessing Data
26 Python Preprocessing Time
27 Python Visualization Hourly Seasonality
28 Python Daily Seasonality
29 Python Time Covariates Scaling and Time Steps
30 Python LSTM Model and Cross Validation with Multiple Series
31 Python CV Results
32 Python CV Visualization
33 Python Parameter Tuning round 1
34 Python Parameter Tuning round 2
35 Python Predicting the future
36 LSTM Pros and Cons
Section 13
13. Temporal Fusion Transformers (TFT)
1 Game Plan for TFT
2 Introduction to Temporal Fusion Transformers
3 Case Study Briefing Electricity Pricing
4 Python Starter File
5 TFT Model Architecture
6 Covariates Past Future and Static
7 Python Series Time and Static Covariates
8 Python Past Covariates
9 Python Future Covariates
10 Python Scaling
11 TFT Model Parameters
12 Python TFT Model
13 Python Cross Validation
14 Python Cross Validation Results
15 Python Visualizing the Cross Validation Results
16 Random vs Complete Parameter Tuning
17 Python Parameter Grid
18 Python Parameter Tuning
19 Python Parameter Tuning Results and Storing
20 Python Tuned TFT Model
21 Python Forecasting and Visualization
22 Python Interpretability
23 TFT Pros and Cons
24 TFT Key Takeaways
Section 14
14. CAPSTONE PROJECT Multiple Series with TFT
1 Project Presentation Multiple Series with TFT
2 Python Solutions TFT Model
3 Python Solutions Cross Validation
4 Python Solutions Parameter Tuning
5 Python Solutions Predict The Future
Section 15
15. N-BEATS
1 Game plan for N BEATS
2 Introduction to N BEATS
3 N BEATS Architecture
4 Python Setup
5 Python Series
6 Python Past Covariates
7 Python Scaling
8 N BEATS Model Parameters
9 Python N BEATS Model
10 Python Cross Validation
11 Python Cross Validation Results and Visualization
12 Python Parameters
13 Python Parameter Tuning
14 Python Best Parameters
15 Python Tuned N Beats model
16 Python Predicting the future
17 N Beats Pros and Cons
18 What did we learn with N Beats
Section 16
16. PART 4 - ADVANCED CONTENT FOR TIME SERIES FORECASTING
1 Advanced Content for Time Series Forecasting Overview
Section 17
17. GenAI for Time Series Amazon Chronos
1 Game Plan for Amazon Chronos
2 Introduction to Amazon Chronos
3 Amazon Chronos Architecture
4 Python Setup
5 Python Dates
6 Amazon Chronos Parameters
7 Python Amazon Chronos Model
8 Python Cross Validation part 1
9 Python Cross Validation part 2
10 Python Cross Validation part 3
11 Python Parameter Tuning
12 Python Tuned Amazon Chronos Model
13 Python Visualizing the Forecast
14 Amazon Chronos Pros and Cons
15 What did we learn with Amazon Chronos
Section 18
18. Amazon AutoGluon
1 Game Plan for Amazon AutoGluon
2 Introduction to Amazon AutoGluon and Presets
3 Python Libraries and Data
4 Python Data Processing
5 Python Amazon AutoGluon model
6 Python Amazon AutoGluon model outcome
7 Python Amazon AutoGluon with Covariates
8 Python Amazon AutoGluon Final Model Outcome
9 Python Interpretability
10 Amazon AutoGluon Recap Key Learning
Section 19
19. CAPSTONE PROJECT Build an Automated Time Series Forecasting Model
1 Project Presentation Build an Automated Time Series Forecasting Model
2 Python Build an Automated Time Series Forecasting Model Part 1
3 Python Build an Automated Time Series Forecasting Model Part 2
4 Python Build an Automated Time Series Forecasting Model Part 3
5 Python Build an Automated Time Series Forecasting Model Part 4
6 Python Build an Automated Time Series Forecasting Model Part 5
7 Python Build an Automated Time Series Forecasting Model Part 6
8 Python Build an Automated Time Series Forecasting Model Part 7
Section 20
20. APPENDIX - Python for Data Analysis Course
1 Python for Data Analysis Overview
3 Setting up Google Colab
4 Setting up Jupyter Notebook
Section 21
21. Python Essentials
1 Game Plan for Python Essentials
2 Print Function
3 Python Print Function
8 Python Solutions Print Function
9 Input Function
10 Python Input Function
11 Python Solutions Input Function
12 CHALLENGE Your Superhero Name
13 Variable Types
14 Python Variable Types
16 Python Solutions Variable Types
17 Arithmetic Operators
18 Python Arithmetic Operators
21 Python Solutions Arithmetic Operators
22 Comparison Operators
23 Python Comparison Operators
27 Python Solutions Comparison Operators
28 CHALLENGE Split Bill Calculator
29 If else Conditions
30 Python If else Conditions
32 Python Solutions If else conditions
33 CHALLENGE Berghain Club Bouncer
34 CHALLENGE Your Monthly Savings Plan
35 Wrap up Python Essentials
37 Atomic Habits by James Clear
Section 22
22. Python Intermediate
1 Game Plan for Python Intermediate
2 While Loops
3 Python While Loops
5 Python Solutions Countdown Timer
6 Lists
7 Python Lists
9 Python Solutions Expense Report
11 Python Solutions Fibonacci Numbers
12 Randomization
13 Python Randomization
15 Python Solutions Pick My Next Movie
16 CHALLENGE Read My Mind
17 Dictionaries
18 Python Dictionaries
19 EXERCISE Magical Pet Dictionary
20 CHALLENGE The Budgeting Mastermind
21 For Loops
22 Python For Loops
23 EXERCISE Sum of Numbers
24 EXERCISE Count the Number of Characters
25 CHALLENGE Treasure Hunter
26 Functions
27 Python Functions
29 Python Solutions Adding Numbers
31 Python Solutions Counting Vowels
33 Pythol Solutions Fahrenheit to Celsius
34 CHALLENGE Recipe Converter
35 Wrap Up Python Intermediate
37 Limitless by Jim Kwik
Section 23
23. CAPSTONE PROJECT Virtual Escape Game
1 Project Presentation Virtual Escape Game
2 Python Virtual Escape Game Solutions part 1
3 Python Virtual Escape Game Solutions part 2
4 Python Solving with ChatGPT
Section 24
24. Pandas
1 Game Plan for Pandas
2 Pandas Overview
3 Python Importing and Exporting Data
4 Python Sorting and Filtering Data with Pandas
9 Python Solutions Sorting and Filtering Data with Pandas
10 Python Data Cleaning and Preparation
14 Python Solutions Data Cleaning and Preparation
15 Python Data Manipulation
20 Python Solutions Data Manipulation
21 Python Data Analysis
25 Python Solutions Data Analysis
26 Python Data Visualization with Pandas
27 EXERCISE Data Visualization with Pandas
28 Wrap Up Pandas
Section 25
25. Pandas Challenge
1 Challenge Presentation Pandas
2 Python Importing Data
3 Python Sorting and Filtering Data
4 Python Data Cleaning and Preparation
5 Python Data Manipulation
6 Python Data Analysis
7 Python Data Visualization with Pandas
Section 26
26. Bonus Section
1. Bonus Lecture
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Udemy – Master Time Series Analysis and Forecasting with Python 2025-2
Course modified date:
23 Feb 2025
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