This course is an intuitive introduction to forecasting and trend analysis of time-series data. We will review a range of standard forecasting methods, including ARIMA and exponential smoothing, along with standard means of measuring forecast error and benchmarking with naive forecasts, and standard pre-processing/de-trending methods such as differencing and missing value imputation. Other topics will include trend/seasonality/noise decomposition, autocorrelation, visualisation of time series, and forecasting with uncertainty.
Discounts
Face to face public courses: early bird pricing is available until 2 weeks prior. Group discounts: 5% for 2–4 people, 10% for 5–6 people, 15% for 7–8 people, and 20% for 9 or more people. Discounts are calculated during checkout.
Online public courses: available at a 25% off the face-to-face courses as a special introductory price. to groups or to individuals who want to follow a curriculum program and attend multiple courses:
- 2-4 courses/attendees 10% off
- 5+ courses/attendees 20% off
Hurry as bookings will close 1 week before each course. Group discounts are calculated during checkout on individual courses. Individuals can book multiple courses at a discount - please enquire.
Additional Information
| Audience | This course is suitable for all managers, executives and specialists who want to make better decisions under uncertainty. It requires no specialised statistical knowledge. |
| Objective | Gain introductory knowledge into forecasting and time-series analytics |
| Prerequisites | Students should have completed or have equivalent knowledge to the course ‘Fundamentals of AI, Machine Learning, Data Science and Predictive Analytics‘ and Intro to R (+Data Visualisation) |
| Format | Class |
| Duration | 2 days |
| Course Author | Dr Eugene Dubossarsky |
| Trainer | Courses are taught by Dr Eugene Dubossarsky and/or his hand-picked team of highly skilled instructors. |
| Delivery Method | In-person at AlphaZetta Academy locations or on-premise for corporate groups |
- Course participants will require the following technologies and online accounts:
- Reliable computer (Windows, Mac or Linux)
- Webcam (to help facilitate the mentoring aspect of our training)
- Reliable internet access
- A quiet space
- Zoom video conferencing software and Zoom account (register and pre-install the software at zoom.us)
- Microsoft account in order to access the virtual lab PCs (Existing or new account. There’s nothing to be installed, you just need an account to sign-in with.)
Meals and refreshments
Feedback
Use academy@alphazetta.ai to email us any questions about the course, including requests for more detail, or for specific content you would like to see covered, or queries regarding prerequisites and suitability. If you would like to attend but for any reason cannot, please also let us know.Variation
Course material may vary from advertised due to demands and learning pace of attendees. Additional material may be presented, along with or in place of advertised.Cancellations and refunds
You can get a full refund if you cancel 14 days or more before the course starts. No refunds will be issued for cancellations made less than 14 days before the course starts.Frequently asked questions (FAQ)
Do I need to bring my own computer? This is dependent on the venue. Please check the course event page. Why do I need to provide a shipping address? For online courses, we need an address to send you the course notes that you need for the course.Private and Corporate Training
In addition to our public seminars, workshops and courses, AlphaZetta Academy can provide this training for your organisation in a private setting at your location or ours, or online. Please enquire to discuss your needs.
Scheduled Public Courses BOOK NOW ⇓
Private and Corporate Training
In addition to our public seminars, workshops and courses, AlphaZetta Academy can provide this training for your organisation in a private setting at your location or ours, or online. Please enquire to discuss your needs.
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Testimonials
Eugene’s courses are not your standard technical courses where you learn how to put data into a model and get a result. The real life experiences – warts and all – he brings to the instruction mean that attendees walk away with a better understanding of the real life challenges of analytics as well as the technical know-how. We routinely send our team members on these courses to help them get the capabilities that really help our clients get better insights from their data.
James Beresford, Director, Agile BIEugene’s introductory course to data science was outstanding. I found the subject matter and delivery fascinating, accessible and informative. Eugene is approachable, interesting to listen to and excellent at simplifying complex concepts. I highly recommend this course for anyone who wants to know what data science—and all the buzz surrounding it!—are all about.
C.T. Johnson, Director, Statecraft