Python for Time-Series Modelling
This is a course for traders, financial analysts, risk analysts, fund managers, quants, and scientists working with time-series data.
Prerequisites
The Introduction to Python course from Python Charmers, or equivalent experience (3+ months if self-taught).
Expected Outcomes
This course will teach you about analyzing and modelling time-series data in depth.
Course Syllabus
Session 1: Time-series analysis
Day 1 covers ...:
-
Handling time-series data: parsing dates; resampling; asfreq; between_time
-
Joining of time series; searchsorted; merge_asof
-
Handling timezones
-
Data cleaning; interpolation; imputing missing data
Session 2: Statistical inference and regression models
Day 2 covers ...:
-
Hypothesis testing
- Statistical significance
- Confidence intervals and the Bootstrap
- Normality tests
- Cross correlation
- Regression tests
- Multicolinearity
Session 3: Time-series modelling and forecasting
Day 5 teaches you ...:
- Ordinary least squares (OLS) models; multivariate OLS
- Other regression models: robust, WLS, ...
-
Common time-series models in Python: AR, ARIMA
Upcoming Public Courses
Virtual
Intermediate Python for Developers:
02 Oct 2023 – 06 Oct 2023
- 02 Oct 2023 22:00 - 03 Oct 2023 06:00 UTC
- 03 Oct 2023 22:00 - 04 Oct 2023 06:00 UTC
- 04 Oct 2023 22:00 - 05 Oct 2023 06:00 UTC
- 05 Oct 2023 22:00 - 06 Oct 2023 06:00 UTC
Online live instructor-led training: 9am to 5pm AEDT
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Virtual
Introduction to Python:
22 Oct 2023 – 24 Oct 2023
- 22 Oct 2023 22:00 - 23 Oct 2023 06:00 UTC
- 23 Oct 2023 22:00 - 24 Oct 2023 06:00 UTC
Online live instructor-led training: 9am to 5pm AEDT
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Virtual
Python for Predictive Data Analytics:
22 Oct 2023 – 26 Oct 2023
- 22 Oct 2023 22:00 - 23 Oct 2023 06:00 UTC
- 23 Oct 2023 22:00 - 24 Oct 2023 06:00 UTC
- 24 Oct 2023 22:00 - 25 Oct 2023 06:00 UTC
- 25 Oct 2023 22:00 - 26 Oct 2023 06:00 UTC
Online live instructor-led training: 9am to 5pm AEDT
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Virtual
Python for Geospatial Analysis:
22 Oct 2023 – 27 Oct 2023
- 22 Oct 2023 22:00 - 23 Oct 2023 06:00 UTC
- 23 Oct 2023 22:00 - 24 Oct 2023 06:00 UTC
- 24 Oct 2023 22:00 - 25 Oct 2023 06:00 UTC
- 25 Oct 2023 22:00 - 26 Oct 2023 06:00 UTC
- 26 Oct 2023 22:00 - 27 Oct 2023 06:00 UTC
Online live instructor-led training: 9am to 5pm AEDT
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Virtual
Python for Finance:
22 Oct 2023 – 27 Oct 2023
- 22 Oct 2023 22:00 - 23 Oct 2023 06:00 UTC
- 23 Oct 2023 22:00 - 24 Oct 2023 06:00 UTC
- 24 Oct 2023 22:00 - 25 Oct 2023 06:00 UTC
- 25 Oct 2023 22:00 - 26 Oct 2023 06:00 UTC
- 26 Oct 2023 22:00 - 27 Oct 2023 06:00 UTC
Online live instructor-led training: 9am to 5pm AEDT
Virtual
Python for Scientists & Engineers:
22 Oct 2023 – 27 Oct 2023
- 22 Oct 2023 22:00 - 23 Oct 2023 06:00 UTC
- 23 Oct 2023 22:00 - 24 Oct 2023 06:00 UTC
- 24 Oct 2023 22:00 - 25 Oct 2023 06:00 UTC
- 25 Oct 2023 22:00 - 26 Oct 2023 06:00 UTC
- 26 Oct 2023 22:00 - 27 Oct 2023 06:00 UTC
Online live instructor-led training: 9am to 5pm AEDT
View Details Book Now Download Brochure
Virtual
Python for Geospatial Analysis:
26 Nov 2023 – 01 Dec 2023
- 26 Nov 2023 22:00 - 27 Nov 2023 06:00 UTC
- 27 Nov 2023 22:00 - 28 Nov 2023 06:00 UTC
- 28 Nov 2023 22:00 - 29 Nov 2023 06:00 UTC
- 29 Nov 2023 22:00 - 30 Nov 2023 06:00 UTC
- 30 Nov 2023 22:00 - 01 Dec 2023 06:00 UTC
Online live instructor-led training: 9am to 5pm AEDT
View Details Book Now Download Brochure
Virtual
Python for Predictive Data Analytics:
26 Nov 2023 – 30 Nov 2023
- 26 Nov 2023 22:00 - 27 Nov 2023 06:00 UTC
- 27 Nov 2023 22:00 - 28 Nov 2023 06:00 UTC
- 28 Nov 2023 22:00 - 29 Nov 2023 06:00 UTC
- 29 Nov 2023 22:00 - 30 Nov 2023 06:00 UTC
Online live instructor-led training: 9am to 5pm AEDT
View Details Book Now Download Brochure
Virtual
Python for Scientists & Engineers:
26 Nov 2023 – 01 Dec 2023
- 26 Nov 2023 22:00 - 27 Nov 2023 06:00 UTC
- 27 Nov 2023 22:00 - 28 Nov 2023 06:00 UTC
- 28 Nov 2023 22:00 - 29 Nov 2023 06:00 UTC
- 29 Nov 2023 22:00 - 30 Nov 2023 06:00 UTC
- 30 Nov 2023 22:00 - 01 Dec 2023 06:00 UTC
Online live instructor-led training: 9am to 5pm AEDT
View Details Book Now Download Brochure
Virtual
Python for Finance:
26 Nov 2023 – 01 Dec 2023
- 26 Nov 2023 22:00 - 27 Nov 2023 06:00 UTC
- 27 Nov 2023 22:00 - 28 Nov 2023 06:00 UTC
- 28 Nov 2023 22:00 - 29 Nov 2023 06:00 UTC
- 29 Nov 2023 22:00 - 30 Nov 2023 06:00 UTC
- 30 Nov 2023 22:00 - 01 Dec 2023 06:00 UTC
Online live instructor-led training: 9am to 5pm AEDT
Virtual
Introduction to Python:
26 Nov 2023 – 28 Nov 2023
- 26 Nov 2023 22:00 - 27 Nov 2023 06:00 UTC
- 27 Nov 2023 22:00 - 28 Nov 2023 06:00 UTC
Online live instructor-led training: 9am to 5pm AEDT
View Details Book Now Download Brochure
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Testimonials
“The course was delivered by trainers who were extremely knowledgeable in their field. It was really good to learn from the best!”
“Great course. Enjoyed it and will follow up with some practical implementation of some of the work.”
“One of the best training courses I've been on.”
“I loved it. Ed was inspiring.”
“Really impressed by Python's capability and excited to use as alternative to MatLab, as is free and better supported.”
“Very comprehensive intro to every aspect of python. Highly qualified trainer. Beyond my expectation on every aspect.”
“The VM setup and USB is great. Ed is an excellent instructor - he presents well and welcomes any questions. He is clearly a super smart guy who has a great grasp on what he is teaching - able to just prototype on the fly and the course overall really opened my eyes to python.”
“Course content was well presented and easily digested. Practical exercises were an essential part of the course – a good ratio of lecture/play was achieved. Well done Ed and Henry!”
“Simply awesome!!”
“Both Ed and Henry presented well…. The course structure was adjusted to suit the participants quickly and easily.”
“Excellent training course, excellently presented. Perhaps the best that I have had in the area of IT / programming.”
“One of the best programming courses I have attended - thanks!”
“This course has shown me how I could have done the work I was doing just last week 10x more efficiently in Python.”
“It was a pleasure ... Shared feedback from all involved was that it’s been one of the most beneficial and well delivered training courses we’ve been a part of.”
“Was the most fulfilling and rewarding class I have taken since "general relativity" at uni. Was extremely well run. Excellent all round!”
“Very impressed with the course, delivery. And depth of knowledge of Ed and Henry. Far exceeded my expectations and has greatly improved my core skills as well as inspired so many new ideas for my current work / projects. Thank you!”
