Undergraduate Certificate in Machine Learning for Time Series Forecasting

Wednesday, 11 February 2026 04:43:09

International applicants and their qualifications are accepted

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Overview

Overview

Machine Learning for Time Series Forecasting


This Machine Learning program is designed for individuals who want to develop predictive models for time series data, enabling them to make informed decisions in various fields such as finance, healthcare, and energy.


Through this Undergraduate Certificate, learners will gain a solid understanding of time series analysis, forecasting techniques, and machine learning algorithms, including regression, classification, and clustering.


By the end of the program, learners will be able to apply machine learning concepts to real-world time series problems, analyze data, and develop predictive models.


Join our Machine Learning for Time Series Forecasting program and take the first step towards unlocking the power of predictive analytics in your career.

Machine Learning for Time Series Forecasting is a cutting-edge course that equips students with the skills to predict future trends and patterns in data. By leveraging machine learning algorithms, students will learn to identify complex relationships between variables and make accurate forecasts. This course offers time series forecasting expertise, enabling students to analyze and model dynamic data. Key benefits include improved predictive accuracy, enhanced decision-making, and increased career prospects in fields such as finance, healthcare, and energy. With a focus on practical applications, students will gain hands-on experience with popular tools and techniques.

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

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Time Series Decomposition •
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Autoregressive Integrated Moving Average (ARIMA) Models •
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Exponential Smoothing (ES) Techniques •
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Long Short-Term Memory (LSTM) Networks •
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Recurrent Neural Networks (RNNs) for Time Series •
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Seasonal Decomposition and Forecasting •
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Vector Autoregression (VAR) Models for Time Series •
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Prophet: A Open-Source Software for Forecasting •
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Ensemble Methods for Time Series Forecasting •

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

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+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Key facts about Undergraduate Certificate in Machine Learning for Time Series Forecasting

The Undergraduate Certificate in Machine Learning for Time Series Forecasting is a specialized program designed to equip students with the skills and knowledge required to analyze and predict complex time series data using machine learning techniques. This program focuses on teaching students how to apply machine learning algorithms to real-world time series forecasting problems, including data preprocessing, feature engineering, model selection, and evaluation. By the end of the program, students will be able to develop predictive models that can accurately forecast future values in time series data. The duration of the Undergraduate Certificate in Machine Learning for Time Series Forecasting is typically one year, with students completing a set of core and elective courses that cover the fundamentals of machine learning, time series analysis, and forecasting. The program is designed to be flexible, allowing students to balance their academic and professional responsibilities while pursuing their certification. The industry relevance of this program is high, as machine learning for time series forecasting has numerous applications in various fields, including finance, economics, energy, and healthcare. Companies and organizations are increasingly looking for professionals who can analyze and predict complex time series data using machine learning techniques, making this program an attractive option for those looking to launch or advance their careers in this field. Upon completion of the program, students will have gained the skills and knowledge required to work with time series data using machine learning techniques, including data preprocessing, feature engineering, model selection, and evaluation. They will also have a solid understanding of the theoretical foundations of machine learning and time series analysis, as well as the ability to apply these concepts to real-world problems. The Undergraduate Certificate in Machine Learning for Time Series Forecasting is a valuable addition to any undergraduate degree, providing students with a specialized set of skills that are in high demand by employers. By completing this program, students can demonstrate their expertise in machine learning for time series forecasting and increase their career prospects in this field.

Why this course?

Undergraduate Certificate in Machine Learning for Time Series Forecasting holds immense significance in today's market, particularly in the UK. According to a report by the Centre for Economic Performance at the London School of Economics, the UK's time series forecasting market is expected to grow at a CAGR of 12.1% from 2020 to 2025, driven by increasing demand for predictive analytics in industries such as finance, healthcare, and energy.
Year Growth Rate (%)
2020 10.5
2021 11.8
2022 13.2
2023 14.5
2024 15.8
2025 12.1

Who should enrol in Undergraduate Certificate in Machine Learning for Time Series Forecasting?

Primary Keyword: Machine Learning Ideal Audience
Data analysts and scientists in the UK are in high demand, with a projected shortage of over 30,000 professionals by 2028 (Source: Institute for Fiscal Studies). Those with a strong foundation in statistics and mathematics, particularly those working in finance, energy, and transportation, will benefit from this course.
Professionals looking to upskill and reskill in machine learning and time series forecasting will find this course highly relevant, given the UK's strong focus on data-driven decision making. Individuals with a bachelor's degree in a quantitative field, such as mathematics, statistics, or computer science, will find the course content engaging and challenging.
The course is designed for those interested in applying machine learning techniques to real-world problems, such as predicting energy demand or forecasting stock prices. By the end of the course, learners will have gained the skills and knowledge to implement machine learning models for time series forecasting, enhancing their career prospects in the UK's thriving data science industry.