Professional Certificate in Data Science for Retargeting Professionals

Name: Professional Certificate in Data Science for Retargeting Professionals
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The Professional Certificate in Data Science for Retargeting Professionals is a valuable course designed to equip learners with essential data science skills specific to retargeting in the advertising industry. This program emphasizes the importance of data-driven decision-making in retargeting campaigns, covering key topics like data manipulation, statistical analysis, and machine learning.

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AboutThisCourse

As businesses increasingly rely on data to drive marketing strategies, the demand for professionals with expertise in data science for retargeting is growing. By completing this course, learners will gain a competitive edge, demonstrating their ability to leverage data to improve campaign performance and drive revenue growth. Through hands-on exercises and real-world examples, this program equips learners with the skills they need to succeed in this high-growth field. By the end of the course, learners will have a deep understanding of data science principles and how to apply them to retargeting campaigns, setting them up for long-term career success. In summary, this Professional Certificate in Data Science for Retargeting Professionals is a must-take course for anyone looking to advance their career in digital advertising and marketing.

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CourseDetails

• Data Analysis with Python: Introduction to Python, data manipulation with Pandas, data visualization with Matplotlib and Seaborn.
• Statistical Methods: Descriptive and inferential statistics, probability distributions, hypothesis testing, regression analysis.
• Machine Learning Fundamentals: Supervised and unsupervised learning, model evaluation, model selection, model interpretation.
• Data Science for Marketing: Customer segmentation, customer lifetime value prediction, marketing mix modeling.
• Retargeting Methods: Behavioral retargeting, search retargeting, email retargeting, social media retargeting.
• Data-Driven Retargeting Strategies: Campaign design, audience segmentation, testing, optimization.
• Privacy and Ethics in Data Science: Data privacy regulations, ethical considerations in data collection, analysis, and use.
• Big Data and Cloud Computing: Distributed computing, Hadoop, Spark, cloud storage and computing services.

CareerPath

The data science job market is booming, offering a wide range of exciting opportunities for professionals with the right skill set. In the UK, the demand for data science roles, such as Data Scientist, Data Analyst, Data Engineer, Data Architect, and BI Analyst, has grown significantly in recent years. With a Professional Certificate in Data Science tailored for retargeting professionals, you can take advantage of this growing trend and enhance your career prospects. According to our research, Data Scientists are the most in-demand professionals, accounting for 35% of the market. Data Analysts follow closely with 25% of job postings, highlighting the need for professionals capable of extracting valuable insights from complex datasets. Data Engineers (20%) and Data Architects (15%) are also highly sought after, with their expertise focused on designing and maintaining data infrastructures. Lastly, BI Analysts make up the remaining 5% of job market trends in the UK. By obtaining a Professional Certificate in Data Science, you'll be well-equipped to take on any of these roles and thrive in the dynamic and rewarding world of data science. The 3D pie chart above demonstrates the distribution of these roles, giving you a clear understanding of the current job market landscape and the skills most desired by employers.

EntryRequirements

BasicUnderstandingSubject
ProficiencyEnglish
ComputerInternetAccess
BasicComputerSkills
DedicationCompleteCourse

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FastTrack GBP £140

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ThreeFourHoursPerWeek
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StandardMode GBP £90

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FlexibleLearningPace

TwoThreeHoursPerWeek
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PROFESSIONAL CERTIFICATE IN DATA SCIENCE FOR RETARGETING PROFESSIONALS

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London School of International Business (LSIB)

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05 May 2025

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