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