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Course Outline
Introduction to Time Series Analysis
- Overview of time series data
- Components of time series: trend, seasonality, noise
- Setting up Google Colab for time series analysis
Exploratory Data Analysis for Time Series
- Visualizing time series data
- Decomposing time series components
- Detecting seasonality and trends
ARIMA Models for Time Series Forecasting
- Understanding ARIMA (AutoRegressive Integrated Moving Average)
- Choosing parameters for ARIMA models
- Implementing ARIMA models in Python
Introduction to Prophet for Time Series Forecasting
- Overview of Prophet for time series forecasting
- Implementing Prophet models in Google Colab
- Handling holidays and special events in forecasting
Advanced Forecasting Techniques
- Handling missing data in time series
- Multivariate time series forecasting
- Customizing forecasts with external regressors
Evaluating and Fine-tuning Forecast Models
- Performance metrics for time series forecasting
- Fine-tuning ARIMA and Prophet models
- Cross-validation and backtesting
Real-world Applications of Time Series Analysis
- Case studies of time series forecasting
- Practical exercises with real-world datasets
- Next steps for time series analysis in Python
Summary and Next Steps
Requirements
- Intermediate knowledge of Python programming
- Familiarity with basic statistics and data analysis techniques
Audience
- Data analysts
- Data scientists
- Professionals working with time series data
21 Hours
Delivery Options
Private Group Training
Our identity is rooted in delivering exactly what our clients need.
- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from €6840 online delivery, based on a group of 2 delegates, €2160 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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Public Training
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Testimonials (4)
Hands-on examples allowed us to get an actual feel for how the program works. Good explanations and integration of theoretical concepts and how they relate to practical applications.
Ian - Archeoworks Inc.
Course - ArcGIS Fundamentals
All the topics which he covered including examples. And also explained how they are helpful in our daily job.
madduri madduri - Boskalis Singapore Pte Ltd
Course - QGIS for Geographic Information System
I really enjoyed the training. I found all modules to be applicable to problems that I am trying to solve at work. The integration of the training with jupyter notebooks was really impressive.
Mark Firmin - Environment and Climate Change Canada
Course - Python for Geographic Information System (GIS)
The thing I liked the most about the training was the organization and the location
