Certified Professional in Time Series Forecasting for Adtech

Thursday, 11 September 2025 03:04:41

International applicants and their qualifications are accepted

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Overview

Overview

Certified Professional in Time Series Forecasting for Adtech is designed for data scientists, analysts, and marketers. It teaches advanced time series techniques for accurate ad campaign predictions.


Master predictive modeling and statistical methods, including ARIMA, Prophet, and exponential smoothing. Learn to optimize bidding strategies and budget allocation using forecast data. This program helps professionals build robust forecasting models for improved ROI.


Time series forecasting skills are highly sought after in adtech. Improve your career prospects. Explore the curriculum today!

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Certified Professional in Time Series Forecasting for Adtech is your gateway to mastering predictive analytics in the dynamic advertising technology landscape. This intensive program equips you with advanced forecasting techniques, including ARIMA, Prophet, and machine learning models, crucial for optimizing ad spending and maximizing ROI. Gain expertise in data analysis and statistical modeling, boosting your career prospects in demand forecasting, campaign optimization, and algorithm development. Time series analysis skills are highly sought after; unlock your potential with this certificate and transform your adtech career.

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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 patterns in AdTech.
• Forecasting Methods for AdTech: ARIMA, Exponential Smoothing, Prophet, and their applications in predicting ad spend, click-through rates, and conversions.
• Regression Analysis for Time Series: Incorporating external regressors like seasonality, promotions, and economic indicators to enhance forecast accuracy in AdTech.
• Advanced Time Series Modeling: GARCH models for volatility forecasting, and handling seasonality and trend effectively.
• Machine Learning for Time Series Forecasting in AdTech: Applying algorithms like LSTM and other neural networks for improved prediction.
• Model Evaluation and Selection: Metrics like RMSE, MAE, MAPE, and techniques for selecting the optimal model for specific AdTech forecasting challenges.
• Time Series Data Preprocessing for AdTech: Handling missing values, outliers, and data transformations to improve model performance.
• Case Studies in AdTech Forecasting: Real-world examples demonstrating the application of time series techniques to solve specific business problems.
• Implementing Time Series Forecasts in AdTech Platforms: Integration with existing AdTech stacks and visualization of forecasting results.

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

Job Title (Time Series Forecasting & AdTech) Description
Senior Data Scientist (Predictive Modelling, AdTech) Develops and implements advanced time series forecasting models for advertising campaign optimization. Requires expertise in statistical modeling and machine learning.
Quantitative Analyst (AdTech, Forecasting) Analyzes large datasets to identify trends and patterns, building time series models to predict future ad performance. Strong programming skills are essential.
Marketing Analyst (Time Series Forecasting) Uses time series analysis to forecast marketing campaign effectiveness, optimizing budget allocation and resource management within the AdTech industry.
Business Intelligence Analyst (AdTech, Predictive Analytics) Leverages time series forecasting to provide insights into business performance, identifying opportunities for growth and improvement within the advertising technology sector.

Key facts about Certified Professional in Time Series Forecasting for Adtech

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The Certified Professional in Time Series Forecasting for Adtech program equips professionals with the advanced skills needed to build accurate predictive models for advertising technology. This rigorous certification focuses on practical application and real-world problem-solving.


Learning outcomes include mastering time series analysis techniques such as ARIMA, Exponential Smoothing, and Prophet, specifically tailored for ad tech applications. Students also gain proficiency in statistical modeling, forecasting accuracy metrics, and data visualization relevant to advertising campaign optimization.


The duration of the program varies depending on the chosen format (online, in-person, self-paced), but typically ranges from several weeks to a few months. The curriculum is designed to be flexible and accommodate diverse learning styles.


Industry relevance is paramount. A Certified Professional in Time Series Forecasting for Adtech designation significantly enhances career prospects in the competitive ad tech sector. This certification demonstrates expertise in demand forecasting, budget allocation, and campaign performance prediction, crucial skills for data scientists, analysts, and marketing professionals.


Graduates are equipped to handle complex datasets, develop robust forecasting models, and ultimately contribute to more effective and efficient advertising strategies. This translates to improved ROI and a competitive edge in the dynamic world of digital advertising. Key skills learned include predictive analytics, statistical software proficiency, and data mining.

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Why this course?

Year AdTech Spend (£bn)
2022 25
2023 (Projected) 28

Certified Professional in Time Series Forecasting is increasingly significant in the UK's booming AdTech sector. The UK ad market, projected to reach £28 billion in 2023, demands precise forecasting for optimal campaign performance. Accurate predictions, powered by time series analysis techniques, are crucial for budget allocation, media buying, and ROI maximization. A Certified Professional in Time Series Forecasting possesses the skills to analyze historical advertising data, identify trends, and build predictive models to optimize campaigns and drive revenue. This certification demonstrates expertise in methodologies like ARIMA, Exponential Smoothing, and Prophet, equipping professionals with the tools to navigate the complexities of the modern AdTech landscape and stay ahead of the competition. The ability to accurately forecast campaign performance is directly linked to improved efficiency and higher profits in this rapidly evolving field. Demand for professionals with this certification is growing, making it a valuable asset in today’s UK AdTech market.

Who should enrol in Certified Professional in Time Series Forecasting for Adtech?

Ideal Audience for Certified Professional in Time Series Forecasting for Adtech Key Characteristics
Data Scientists in AdTech Leveraging advanced time series analysis for accurate ad campaign predictions; UK ad spend reached £25 billion in 2022, highlighting the need for precise forecasting.
Marketing Analysts Improving campaign ROI with predictive modelling and enhanced budget allocation using forecasting techniques; familiar with data visualization and reporting tools.
Media Planners Optimizing media buys and audience targeting through data-driven insights from time series models; requires strong understanding of digital marketing channels.
Business Intelligence Professionals Gaining a competitive edge by utilizing robust forecasting methods for strategic decision-making; seeking advanced skills to improve business performance.