Certificate in Time Series Analysis with R

Friday, 13 February 2026 16:22:42

International applicants and their qualifications are accepted

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Overview

Overview

Time Series Analysis with R


This course is designed for data analysts and scientists who want to learn how to analyze and model time series data using R.


Time series analysis is a crucial skill in many fields, including finance, economics, and climate science.


Some of the key concepts covered in this course include:

time series decomposition, forecasting, and modeling using ARIMA, SARIMA, and ETS models.


learners will also learn how to visualize and explore time series data using R's built-in functions and libraries.


By the end of this course, learners will be able to apply time series analysis techniques to real-world problems and make informed decisions.


So why wait? Enroll in this course today and start mastering the art of time series analysis with R!

Time Series Analysis is a crucial skill in data science, and our Certificate program in Time Series Analysis with R will equip you with the necessary tools to excel in this field. By mastering Time Series Analysis with R, you'll gain a deep understanding of forecasting, modeling, and visualization techniques. This course offers Time Series Analysis benefits, including improved predictive capabilities and enhanced decision-making. With a strong foundation in Time Series Analysis, you'll unlock career prospects in finance, economics, and data science. Unique features of the course include interactive R sessions, real-world case studies, and expert guidance.

Entry requirements

The program operates on an open enrollment basis, and there are no specific entry requirements. Individuals with a genuine interest in the subject matter are welcome to participate.

International applicants and their qualifications are accepted.

Step into a transformative journey at LSIB, where you'll become part of a vibrant community of students from over 157 nationalities.

At LSIB, we are a global family. When you join us, your qualifications are recognized and accepted, making you a valued member of our diverse, internationally connected community.

Course Content

•
Autoregressive Integrated Moving Average (ARIMA)
Time Series Forecasting
ARIMA Model
ARIMA Parameters
ARIMA Model Evaluation

Autoregressive Distributed Lag (ARDL)
Cointegration Analysis
Vector Error Correction Model (VECM)

Exponential Smoothing (ES)
Simple Exponential Smoothing (SES)
Holt's Method
Holt-Winters Method

Seasonal Decomposition
Seasonal Index
Seasonal Trend Decomposition

Time Series Plotting
Time Series Visualization
Time Series Plots

Stationarity Testing
Augmented Dickey-Fuller (ADF) Test
KPSS Test

Forecasting with R
R Time Series Library
Forecasting Functions

Assessment

The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration & course fee

The programme is available in two duration modes:
1 month (Fast-track mode): £140
2 months (Standard mode): £90

40% Cheaper

Our course fee is up to 40% cheaper than most universities and colleges.

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Awarding body

 The programme is awarded by London School of International Business. This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/ body.

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  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
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Got questions? Get in touch

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Key facts about Certificate in Time Series Analysis with R

The Certificate in Time Series Analysis with R is a comprehensive program designed to equip students with the skills necessary to analyze and interpret time series data using the popular programming language R.
This certificate program focuses on teaching students how to extract insights from time series data, including forecasting, trend analysis, and seasonality detection.
Upon completion of the program, students will have gained a deep understanding of time series analysis concepts and be able to apply them in real-world scenarios.
The duration of the certificate program is typically 6-12 months, depending on the institution and the student's prior experience.
The program is highly relevant to industries such as finance, economics, and business, where time series analysis is a crucial tool for making informed decisions.
Industry professionals can benefit from this certificate by gaining a competitive edge in the job market and being able to analyze complex time series data.
The skills learned in this program can be applied to a wide range of applications, including stock market analysis, weather forecasting, and demand forecasting.
Overall, the Certificate in Time Series Analysis with R is an excellent choice for anyone looking to enhance their skills in data analysis and gain a competitive edge in their chosen field.

Why this course?

Time Series Analysis with R is a highly sought-after skill in today's data-driven market, particularly in the UK. According to a report by the UK's Office for National Statistics (ONS), the demand for data analysts and scientists is expected to increase by 30% by 2025, with time series analysis being a key area of focus.
Year Employment
2020 34,400
2021 37,100
2022 40,600
2023 44,100

Who should enrol in Certificate in Time Series Analysis with R?

Ideal Audience for Certificate in Time Series Analysis with R Data analysts, data scientists, and quantitative researchers in the UK and globally
Professionals with a strong foundation in statistics and mathematics Those interested in time series forecasting, regression analysis, and data visualization using R programming language
UK-based professionals in finance, economics, and business Individuals seeking to enhance their skills in data analysis, machine learning, and predictive modeling
Graduates in statistics, mathematics, computer science, and economics Working professionals looking to upskill and reskill in the field of data science and time series analysis