Professional Certificate in AI Data Engineering for Time Series Analysis

Wednesday, 27 August 2025 14:34:40

International applicants and their qualifications are accepted

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Overview

Overview

AI Data Engineering for Time Series Analysis


This professional certificate program is designed for data professionals who want to master the skills needed to extract insights from time series data using AI and machine learning techniques.


Learn how to design, build, and deploy AI models that can handle large volumes of time series data, including data preprocessing, feature engineering, and model evaluation.


Some of the key topics covered in this program include:

Time series forecasting, anomaly detection, and clustering using AI and machine learning algorithms.


Design and implementation of AI models using popular libraries such as TensorFlow and PyTorch.


Data visualization and communication of insights using tools like Tableau and Power BI.


By the end of this program, you will be able to apply AI and machine learning techniques to real-world time series data problems and drive business value.


Take the first step towards becoming an AI data engineer and explore this program further to learn more about how you can apply AI and machine learning to time series data.

Time Series Analysis is a critical aspect of Artificial Intelligence (AI) Data Engineering, and this Professional Certificate program is designed to equip you with the skills to excel in this field. By mastering Time Series Analysis, you'll gain a deep understanding of data patterns, trends, and seasonality, enabling you to build predictive models and drive business decisions. With this course, you'll learn from industry experts and gain hands-on experience with popular tools like Python, R, and TensorFlow. Upon completion, you'll enjoy Time Series Analysis career prospects in finance, healthcare, and more, with a salary potential of up to $125,000.

Entry requirements

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 Decomposition •
Autoregressive Integrated Moving Average (ARIMA) Models •
Exponential Smoothing (ES) Techniques •
Seasonal Decomposition •
Prophet Forecasting Algorithm •
Long Short-Term Memory (LSTM) Networks for Time Series Prediction •
Recurrent Neural Networks (RNNs) for Time Series Analysis •
Autoencoders for Anomaly Detection in Time Series Data •
Graph-Based Methods for Time Series Analysis •
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

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 Professional Certificate in AI Data Engineering for Time Series Analysis

The Professional Certificate in AI Data Engineering for Time Series Analysis is a comprehensive program designed to equip learners with the skills required to extract insights from time series data using artificial intelligence and machine learning techniques.
This program focuses on teaching learners how to design, build, and deploy AI models for time series forecasting, which is a critical application of AI data engineering. Through a combination of theoretical foundations and practical projects, learners will gain hands-on experience in working with time series data and developing predictive models.
Upon completion of the program, learners can expect to gain the following learning outcomes: - Develop a deep understanding of time series data and its applications in various industries. - Learn how to design, build, and deploy AI models for time series forecasting using popular tools and technologies such as Python, R, and TensorFlow. - Acquire skills in data preprocessing, feature engineering, and model evaluation for time series data. - Understand the importance of data quality, security, and governance in AI data engineering for time series analysis.
The duration of the program is typically 4-6 months, with learners expected to dedicate around 10-15 hours per week to complete the coursework and projects. The program is designed to be flexible and can be completed at the learner's own pace.
The Professional Certificate in AI Data Engineering for Time Series Analysis is highly relevant to the industry, as time series data is increasingly being used in various applications such as finance, healthcare, and climate science. By acquiring the skills and knowledge required for AI data engineering for time series analysis, learners can pursue a wide range of career opportunities in data science, machine learning, and business intelligence.
Upon completion of the program, learners can expect to earn a professional certificate and have the skills and knowledge required to pursue a career in AI data engineering for time series analysis. The program is designed to be industry-agnostic, and learners can apply their skills and knowledge to various industries and organizations.

Why this course?

AI Data Engineering for Time Series Analysis is a highly sought-after skill in today's market, with the UK's data science industry expected to grow by 15% annually until 2025, according to a report by the Centre for Economic Performance. To stay ahead of the curve, professionals and learners alike need to acquire expertise in AI data engineering for time series analysis. | Industry Sectors | Number of Jobs Available | | --- | --- | | Finance | 2,300 | | Healthcare | 1,800 | | Retail | 1,400 | | Energy | 1,200 |

Who should enrol in Professional Certificate in AI Data Engineering for Time Series Analysis?

Primary Keyword: AI Data Engineering for Time Series Analysis Ideal Audience
Data professionals with 2+ years of experience in data engineering, looking to expand their skill set in AI and machine learning, particularly in time series analysis, are the primary target audience. Secondary keywords: Data Science, Machine Learning, Time Series Analysis, Data Engineering, AI, Analytics, Business Intelligence, Finance, and Energy sectors.
In the UK, the demand for professionals with expertise in AI data engineering and time series analysis is high, with a projected growth rate of 22% by 2025, according to the Office for National Statistics. Professionals with a strong foundation in programming languages such as Python, R, or SQL, and experience with data engineering tools like Apache Beam, Apache Spark, or Hadoop, are well-suited for this course.
Individuals interested in working with large datasets, building predictive models, and developing intelligent systems that can learn from historical data will find this course highly relevant. A certificate in AI data engineering for time series analysis can open doors to new career opportunities, with average salaries ranging from £60,000 to £100,000 per annum in the UK.