Executive Development Programme in Media Data Science Essentials

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The Executive Development Programme in Media Data Science Essentials certificate course is a comprehensive program designed to equip learners with essential skills in media data science. With the increasing importance of data-driven decision making in the media industry, this course is highly relevant and in demand.

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This course covers essential topics such as data analysis, machine learning, and data visualization, with a focus on media applications. Learners will gain hands-on experience with industry-standard tools and techniques, preparing them for careers in media data science. By completing this course, learners will have a solid understanding of media data science and its applications, making them highly valuable to employers in the media industry. This course is an excellent opportunity for professionals looking to advance their careers in media data science and stay ahead in the competitive media landscape.

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โ€ข Introduction to Media Data Science: Understanding the basics of data science, its relevance in media, and the opportunities it presents.
โ€ข Data Collection Methods: Exploring various data collection techniques, including web scraping, APIs, and surveys.
โ€ข Data Cleaning and Preprocessing: Techniques to handle missing or inconsistent data, outlier detection, and data normalization.
โ€ข Exploratory Data Analysis (EDA): Visualization and interpretation of data, identifying trends, patterns, and anomalies.
โ€ข Statistical Analysis: Understanding statistical concepts and methods, including regression analysis, correlation, and hypothesis testing.
โ€ข Machine Learning Fundamentals: Introduction to machine learning algorithms, including supervised, unsupervised, and reinforcement learning.
โ€ข Natural Language Processing (NLP): Techniques for text analysis, sentiment analysis, and information extraction from text data.
โ€ข Predictive Modeling: Building predictive models for media applications, such as churn prediction, content recommendation, and ad targeting.
โ€ข Data Ethics and Privacy: Understanding the ethical implications of data science in media, including privacy concerns, bias, and transparency.
โ€ข Data Visualization and Communication: Techniques for presenting data insights in a clear and concise manner, including data storytelling and dashboard design.

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In this Executive Development Programme, we focus on four key roles that are essential for any modern media company. These roles are: 1. Data Scientist (Media): With the increasing importance of data-driven decision making in media companies, data scientists are in high demand. They use their expertise to uncover hidden patterns, correlations, and trends in data, and create predictive models to help organizations make informed decisions. 2. Data Analyst (Media): Data analysts are responsible for interpreting data and presenting their findings in a clear and actionable manner. They work closely with stakeholders to identify key performance indicators, create dashboards, and generate reports to help organizations optimize their operations and better understand their customers. 3. Data Engineer (Media): Data engineers are responsible for building and maintaining the infrastructure that enables data collection, storage, and processing. They work closely with data scientists and analysts to ensure that they have access to high-quality data and that the data pipelines are efficient and scalable. 4. Business Intelligence (Media): Business intelligence professionals are responsible for turning data into insights that can drive business decisions. They use their expertise to create reports and dashboards that help organizations understand their performance, identify trends, and make data-driven decisions.

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็คบไพ‹่ฏไนฆ่ƒŒๆ™ฏ
EXECUTIVE DEVELOPMENT PROGRAMME IN MEDIA DATA SCIENCE ESSENTIALS
ๆŽˆไบˆ็ป™
ๅญฆไน ่€…ๅง“ๅ
ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
London School of International Business (LSIB)
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05 May 2025
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