Introduction to Time Series Models using R
Time Series modeling is core of the economic
and financial forecasting. The course provides an extensive introduction to the
advanced time series models used in Economic and Financial Analysis and
forecasting. The course introduces the use of R and provides a detailed
theoretical background with real world modeling examples from different fields
of studies. The course is basically provided on personal choice of selection
from the offered broad topics and can be register for different durations. It
will be offered online on a digital whiteboard, showing all mathematical
explanations where needed, recorded for downloading and future use.
Objectives:
·
Provide detailed theoretical background
on time series methods
·
Provide extensive examples of
using R for time series modeling
·
Provide practical introduction to
time series modeling
·
Provide simple guides to write
time series estimation for publishing research
Contents:
·
Time Series Data
·
Correlation & Regression
·
Forecasting Strategies
·
Basic Stochastic Models
·
Stationary and Non-stationary
Models
·
Long-Memory Processes
·
Spectral Analysis
·
System Identification
·
Multivariate Models
·
State Space Models
Outcomes:
·
Learn theories and development in
time series methods
·
Learn to use time series methods
in practice
·
Learn to use R for time series
methods
·
Develop modeling skills in R
·
Learn to present estimation
results for publication and research
Audience
The
course is developed for the following groups:
1.
MS/PhD Students in Economics, Finance, Statistics
and Other Social Sciences
2.
Academic Researchers of Universities and Colleges
3.
Researchers of R&D and Policy Research
Organizations
4.
Research Officers of NPO and Social Organizations
5.
Consultants, Trainers And Policy Analysts
6.
Management, Executives of Marketing and Social
Research Organizations
Registration
Please
fill the registration on http://elearning.aneconomist.com and mention
RTSM in course field on the form. Registration is open on rolling basis until
all places are confirmed. *** All registered participants will be provided
original copy of an eBook on Time Series directly from the Publisher/Seller
website.
Fees
The course
fee is £479.
15%
discount will be available for registration in groups of size up to 5
participants. Groups of higher than 5 registrations will be discounted by 20%
for each participant. Payments are accepted online via different channels
including Payza, Moneybookers/Skrill, and Payoneer. Alternative medium of payment
can be request via email.
Supporting
Material
The
learning materials include EBooks, example data in of MS Excel or CSV, reading
materials and related documents and related lecture materials will be provided
in form of PDF in addition to above eBook on time series.
Certification
There is an
Exam/Assignment passing which will entitle you to receive a PASS certificate of
the course mentioning your name, studied topics, assignment title and grades.
Hard Copy of the Certificate will be mailed via courier to any destination
across the world. If you do not need to request your certificate in paper, no
charges are applicable. Soft/Scanned copies will be provided free of cost via
email and downloadable from the course portal on your account.
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