Advanced Certificate in News: Connected Systems for Google News
-- ViewingNowThe Advanced Certificate in News: Connected Systems for Google News is a comprehensive course designed to equip learners with the essential skills needed to excel in today's data-driven journalism industry. This program focuses on the use of connected systems, such as Google News, to collect, analyze, and present data in a meaningful way.
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⢠Advanced Google News APIs: Utilizing the Google News API, this unit will cover how to search, retrieve, and analyze news data. It will also explore how to use the API to create custom news feeds and alerts.
⢠BigQuery and News Data Analysis: This unit will focus on using BigQuery to analyze news data. Students will learn how to import news data into BigQuery, how to query the data, and how to create custom reports and visualizations.
⢠Machine Learning for News Classification: Students will learn how to use machine learning algorithms to classify news articles. This unit will cover various machine learning techniques, including decision trees, random forests, and support vector machines.
⢠Natural Language Processing for News Analysis: This unit will explore how to use natural language processing (NLP) techniques to analyze news articles. Students will learn how to extract entities, sentiments, and topics from news data.
⢠Advanced Data Visualization for News: In this unit, students will learn how to create advanced data visualizations for news articles. They will explore different visualization techniques, such as charts, maps, and infographics.
⢠Cloud Computing for News Applications: This unit will cover how to use cloud computing platforms, such as Google Cloud Platform, to build news applications. Students will learn how to deploy and manage applications in the cloud.
⢠Advanced Topic Modeling for News: This unit will explore how to use advanced topic modeling techniques, such as Latent Dirichlet Allocation (LDA), to analyze news data. Students will learn how to identify hidden topics in news articles and how to use this information to create custom news feeds.
⢠News Recommendation Systems: Students will learn how to build news recommendation systems using collaborative filtering and content-based filtering techniques. This unit will cover how to create personalized news feeds based on user preferences and behavior.
⢠Advanced Sentiment Analysis for News: This unit will explore how to use advanced sentiment analysis techniques to analyze news data. Students will learn how to detect sentiment in news articles, how to track sentiment over time, and how to use sentiment analysis to create custom news feeds.
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