Certified Specialist Programme in Time Series Machine Learning

Monday, 09 February 2026 17:02:50

International applicants and their qualifications are accepted

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Overview

Overview

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Certified Specialist Programme in Time Series Machine Learning equips professionals with in-demand skills. This program focuses on predictive modeling and forecasting.


Learn advanced techniques in time series analysis, including ARIMA, Prophet, and LSTM networks. Data mining and deep learning are also covered.


Designed for data scientists, analysts, and engineers. Gain practical experience with real-world datasets and projects. Master time series machine learning to boost your career.


This Certified Specialist Programme in Time Series Machine Learning is your pathway to expertise. Enroll today and unlock your potential!

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Time series machine learning expertise is in high demand! Our Certified Specialist Programme in Time Series Machine Learning provides hands-on training in forecasting, anomaly detection, and model building using cutting-edge techniques like ARIMA, Prophet, and LSTM networks. Gain practical skills applicable to diverse fields including finance, healthcare, and IoT. Boost your career prospects with a globally recognized certification. Our unique curriculum features real-world case studies and industry expert mentorship, ensuring you're ready to tackle complex time series analysis challenges. Become a sought-after data scientist specializing in time series today!

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

• Time Series Fundamentals: Introduction to time series data, characteristics, and common applications.
• Time Series Decomposition: Exploring trend, seasonality, and residuals using various methods.
• ARIMA Modeling: Building and evaluating Autoregressive Integrated Moving Average models.
• Forecasting with ARIMA and Variations: SARIMA, SARIMAX, and model selection techniques.
• Prophet: Working with Facebook's Prophet model for robust time series forecasting.
• Machine Learning for Time Series: Applying regression, classification, and clustering algorithms to time-dependent data.
• Deep Learning for Time Series: Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM) networks for time series analysis.
• Time Series Feature Engineering: Creating effective features from time series data for improved model performance.
• Model Evaluation and Selection: Metrics for evaluating forecasting accuracy and choosing the best model.
• Time Series Anomaly Detection: Identifying unusual patterns and outliers in time series data.

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

Certified Specialist Programme in Time Series Machine Learning: UK Job Market Outlook

Career Role (Time Series Specialist) Description
Quantitative Analyst (Time Series Modelling) Develops and implements advanced time series models for financial forecasting and risk management. High demand in the UK's thriving Fintech sector.
Data Scientist (Time Series Forecasting) Applies time series techniques to large datasets for business insights, predicting sales, customer behaviour, and operational efficiency. Crucial role in various industries.
Machine Learning Engineer (Time Series Algorithms) Designs, builds, and deploys machine learning models specializing in time series data, contributing to cutting-edge AI solutions. Strong demand across various sectors.
Business Intelligence Analyst (Time Series Analytics) Leverages time series analysis to provide data-driven insights for strategic business decisions, improving operational efficiency and profitability. High demand across all sectors.

Key facts about Certified Specialist Programme in Time Series Machine Learning

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The Certified Specialist Programme in Time Series Machine Learning equips participants with the advanced skills needed to analyze and model time-dependent data. This intensive program focuses on practical application, ensuring graduates are ready to tackle real-world challenges using cutting-edge techniques.


Learning outcomes include mastering various time series forecasting methods, including ARIMA, Prophet, and deep learning approaches like LSTMs and Recurrent Neural Networks (RNNs). Participants will also gain proficiency in feature engineering, model evaluation, and deployment strategies specific to time series data. This comprehensive curriculum integrates both theoretical understanding and hands-on projects for a robust learning experience.


The programme duration is typically structured to balance in-depth learning with efficient completion. Specific details on the exact number of weeks or months might vary depending on the institution offering the program. Check with the provider for exact details. The focus remains on delivering a high-impact, industry-ready skillset within a manageable timeframe.


This Certified Specialist Programme in Time Series Machine Learning holds significant industry relevance. Graduates find opportunities across diverse sectors, including finance (predictive modeling for stock prices), energy (demand forecasting), healthcare (patient monitoring), and supply chain management (inventory optimization). The demand for skilled professionals capable of effectively utilizing time series analysis is constantly growing, making this certification a valuable asset in today's data-driven environment.


The program emphasizes practical skills development in statistical modeling, data mining and predictive analytics, making graduates highly sought after by businesses seeking to leverage the power of time series data. The certification provides a demonstrable proof of competency in a highly specialized field of machine learning.

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Why this course?

Certified Specialist Programme in Time Series Machine Learning is increasingly significant in today's UK market. The demand for professionals skilled in forecasting, anomaly detection, and predictive maintenance using time series data is soaring. According to a recent survey by the UK Office for National Statistics (ONS), the number of data science roles requiring time series expertise grew by 35% in the last two years. This growth reflects the expanding use of time series analysis across various sectors, including finance, healthcare, and manufacturing.

Sector Growth (%)
Finance 40
Healthcare 30
Manufacturing 25
Retail 15

A Certified Specialist Programme provides the necessary skills to meet this growing demand, equipping professionals with the advanced knowledge and practical experience to build successful careers in this lucrative field. The programme’s focus on practical application ensures graduates are immediately employable.

Who should enrol in Certified Specialist Programme in Time Series Machine Learning?

Ideal Candidate Profile for our Certified Specialist Programme in Time Series Machine Learning
Data scientists, analysts, and engineers seeking to master advanced time series forecasting techniques will find this programme invaluable. With over 1.5 million data professionals in the UK alone, many are already leveraging machine learning for predictive modelling, but few have specialized knowledge in time series analysis. This programme will equip participants with the skills to build robust and accurate predictive models for various applications, such as financial markets, weather forecasting, and demand prediction. Those familiar with regression, classification, and basic statistical concepts will find this program particularly beneficial, further enhancing their existing skills in data science and building upon their knowledge of algorithms.
Specific Skill Sets & Experience: Proficiency in Python or R, familiarity with statistical modelling, and an understanding of fundamental machine learning principles are recommended. Prior experience with time series data is beneficial but not mandatory.
Career Goals: Aspiring to lead in forecasting, improve analytical decision-making, enhance predictive modelling capabilities, and increase market competitiveness.