Certificate in Time-series Analysis for Data Science

Friday, 13 February 2026 01:39:34

International applicants and their qualifications are accepted

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Overview

Overview

Time-series analysis is a crucial aspect of data science, and this Certificate program is designed to equip learners with the necessary skills to extract insights from time-stamped data.


With a focus on practical applications, this course teaches learners how to identify patterns, trends, and anomalies in time-series data, using techniques such as ARIMA, SARIMA, and machine learning algorithms.


Targeted at data science professionals and enthusiasts alike, this Certificate program covers topics like data preprocessing, feature engineering, and model evaluation, ensuring learners can apply their knowledge to real-world problems.


By the end of this program, learners will be able to analyze complex time-series data, make informed decisions, and drive business growth.


So, if you're ready to unlock the power of time-series analysis, explore this Certificate program and take the first step towards becoming a data science expert.

Time-series analysis is a crucial skill for data scientists, and our Certificate program is designed to equip you with the knowledge and tools to excel in this field. By mastering time-series analysis, you'll gain a deeper understanding of trends, patterns, and seasonality in data, enabling you to make more informed decisions. With this course, you'll learn key concepts such as forecasting, regression, and anomaly detection, as well as popular techniques like ARIMA and LSTM. You'll also explore real-world applications in finance, healthcare, and climate science. Upon completion, you'll be well-prepared for a career in data science, with opportunities in data analysis and business intelligence.

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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Autoregressive Integrated Moving Average (ARIMA)
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Exponential Smoothing (ES)
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Seasonal Decomposition
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Time Series Forecasting
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ARIMA Model Evaluation
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Autocorrelation Function (ACF)
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Partial Autocorrelation Function (PACF)
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Stationarity Testing
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Vector Autoregression (VAR)
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Vector Error Correction Model (VECM)

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 for Data Science

The Certificate in Time-series Analysis for Data Science is a specialized program designed to equip students with the skills and knowledge required to analyze and interpret complex time-series data.
This program focuses on teaching students how to extract insights from time-series data, which is a crucial aspect of data science in various industries such as finance, healthcare, and climate science.
Upon completion of the program, students will be able to learn how to identify patterns, trends, and seasonality in time-series data, as well as develop predictive models to forecast future events.
The duration of the program is typically 3-6 months, depending on the institution and the student's prior experience.
The program covers a range of topics including time-series data preprocessing, feature engineering, and model selection, as well as machine learning algorithms for time-series forecasting.
The industry relevance of this program is high, as time-series analysis is a critical component of many business decisions, such as demand forecasting, inventory management, and risk assessment.
Many organizations, including financial institutions, retailers, and energy companies, rely on time-series analysis to inform their strategic decisions.
The skills and knowledge gained from this program can be applied in a variety of roles, including data scientist, business analyst, and quantitative analyst.
Overall, the Certificate in Time-series Analysis for Data Science is a valuable program for anyone looking to develop their skills in this area and advance their career in data science.

Why this course?

Time-series Analysis is a crucial skill for data scientists in today's market, particularly in the UK where industries such as finance, healthcare, and energy rely heavily on data-driven insights. According to a report by the UK's Office for National Statistics (ONS), the demand for data scientists is expected to increase by 45% by 2028, with time-series analysis being a key area of focus.
Industry Number of Jobs
Finance 12,000
Healthcare 8,000
Energy 5,000

Who should enrol in Certificate in Time-series Analysis for Data Science ?

Primary Keyword: Time-series Analysis Ideal Audience
Data scientists and analysts in the UK who work with large datasets, particularly those in finance, healthcare, and energy sectors, can benefit from this certificate. Professionals with a basic understanding of statistics and programming skills, such as Python or R, are well-suited for this course.
Those interested in machine learning, artificial intelligence, and business intelligence may also find this certificate valuable, as time-series analysis is a crucial component of these fields. The UK's data science job market is growing rapidly, with the demand for time-series analysis skills expected to increase by 15% by 2025, according to the Royal Statistical Society.
By completing this certificate, individuals can enhance their skills in data visualization, forecasting, and modeling, leading to better decision-making and career opportunities in the UK's data-driven economy. With a certificate in time-series analysis, learners can stay ahead of the curve and capitalize on the increasing demand for data science professionals in the UK.