1. Course description.
The “Time Series Analysis and Forecasting with R” online training course will provide you with essential knowledge to allow wrangling, processing, analysis and forecasting of time series data using specialised libraries such as ts, xts, zoo, tsibble, prophet, fable and forecast for R programming language. Whether you wish to analyse financial data, predict sales or marketing revenue, or understand temporal patterns in your social, medical or economic data, this course will provide you with theoretical and practical understanding on how to clean, visualise and model time series data in your workflows using R programming language.
During the course, you will first learn to manipulate the imported data, extract necessary date/time stamps and transform the processed data into supported time series R objects. You will then proceed to perform essential time series exploratory and decomposition operations, calculate selected moving/rolling single-value statistics, convert between differing time frequencies, visualise and prepare data for predictions. The forecasting part will include sessions on estimating linear, non-linear and locally-weighted trends, multiple regression models, ARMA and ARIMA approaches, dynamic models and a selection of machine learning and AI methods applicable to time series data e.g. Support Vector Machines and Long-Short Term Memory deep learning methods.
2. Course schedule.
This instructor-led course duration is planned over 6 teaching weeks (to qualify for the Course Attendance Certificate) plus an additional 1 calendar month for the completion of the data science project (to obtain the graded Course Completion Certificate).
In between the six weekly online live tutorials (2.5 hours long each) you will improve your skills working through set tasks and homework exercises which will require 4-6 hours of your time commitment per week (24-36 hours). We estimate that the total time commitment for the Course Attendance Certificate is 40-50 hours over 6 teaching weeks, and for the Course Completion Certificate it will equate to 70-80 hours (over 2.5-month period) including the project report writing time.
Start date: Tuesday, 3rd of November 2020 @14:30 London (UK) time
Schedule of sessions: Every Tuesday at 14:30 London (UK) time for 6 weeks
Deadline for registrations: Friday, 30th of October 2020 @ 17:00 London (UK) time
Week 1: Working with time series data in R - Part 1
Week 2: Working with time series data in R - Part 2
Week 3: Time series analysis with R
Week 4: Introduction to time series forecasting methods with R
Week 5: Univariate time series forecasting methods
Week 6: Multivariate time series forecasting methods (and AI)
Additionally, in order to receive the full Course Completion Certificate, you will have to submit a short data analysis report (up to 2,000 words) along with Python data processing and analysis scripts within one calendar month from the last day of Week 6. The project will be assessed and graded. You will also receive a formal written feedback about your project.
3. Course pre-requisites and further information.
Should you have any questions please contact Mind Project Ltd at aW5mbyB8IG1pbmRwcm9qZWN0ICEgY28gISB1aw== or by phone on 0203 322 3786. Please visit the course website at https://www.mindproject.io/product/time-series-analysis-and-forecasting-with-r-tutor-led-online-course-nov20/.
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Tickets for Time Series Analysis & Forecasting with R - 6-week tutor-led online course can be booked here.
|Ticket Information||Ticket Price|
|Regular fee||GBP 420|
|Discounted fee||GBP 270|
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