Natural Language Processing and Capstone Assignment
This course introduces students to Natural Language Processing (NLP) and its application in the Capstone Project. Students will learn to apply technical and business techniques to gain business insight, competitive intelligence, and consumer sentiment. ▼
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Course Feature
Cost:
Free
Provider:
Udemy
Certificate:
No Information
Language:
English
Course Overview
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Updated in [March 06th, 2023]
This course provides an overview of Natural Language Processing (NLP) and its applications in data science. Students will learn the basics of social media analytics and explore the future trends and possibilities in data science. The course will also include a capstone assignment to apply the concepts learned in the course.
[Applications]
The applications of the Natural Language Processing and Capstone Assignment course can be seen in various areas. For example, it can be used to develop natural language processing applications for social media analytics. It can also be used to develop applications for text analysis, sentiment analysis, and other related tasks. Additionally, the course can be used to explore future trends and possibilities in data science. Finally, the course can be used to develop a capstone project that can be used to demonstrate the knowledge and skills acquired during the course.
[Career Paths]
1. Natural Language Processing Engineer: Natural language processing engineers are responsible for developing and implementing algorithms and models to process and analyze natural language data. They use machine learning and deep learning techniques to create systems that can understand and interpret natural language. This job is becoming increasingly important as more companies are using natural language processing to improve customer service, automate tasks, and create more efficient systems.
2. Social Media Analyst: Social media analysts are responsible for analyzing data from social media platforms to gain insights into customer behavior and trends. They use data mining techniques to identify patterns and trends in customer interactions, and use this information to inform marketing and product strategies. This job is becoming increasingly important as more companies are using social media to reach their target audiences.
3. Data Scientist: Data scientists are responsible for analyzing large datasets to uncover insights and trends. They use a variety of techniques, such as machine learning, deep learning, and natural language processing, to uncover patterns and trends in data. This job is becoming increasingly important as more companies are using data to inform their decisions and strategies.
4. Artificial Intelligence Engineer: Artificial intelligence engineers are responsible for developing and implementing algorithms and models to create intelligent systems. They use machine learning and deep learning techniques to create systems that can understand and interpret data. This job is becoming increasingly important as more companies are using artificial intelligence to automate tasks and create more efficient systems.
[Education Paths]
1. Bachelor of Science in Computer Science: This degree path provides students with a comprehensive understanding of computer science fundamentals, including programming, algorithms, data structures, and software engineering. Additionally, students will learn about natural language processing and social media analytics, as well as the latest trends and possibilities in data science.
2. Master of Science in Artificial Intelligence: This degree path focuses on the development of artificial intelligence systems, including natural language processing, machine learning, and deep learning. Students will gain an understanding of the fundamentals of AI, as well as the latest trends and possibilities in data science.
3. Master of Science in Data Science: This degree path focuses on the analysis and interpretation of data, including natural language processing, machine learning, and deep learning. Students will gain an understanding of the fundamentals of data science, as well as the latest trends and possibilities in data science.
4. Doctor of Philosophy in Data Science: This degree path focuses on the development of advanced data science techniques, including natural language processing, machine learning, and deep learning. Students will gain an understanding of the fundamentals of data science, as well as the latest trends and possibilities in data science.
Course Syllabus
Natural Language Processing
The Past, Present, and Future of Data Science
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Course Provider
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Natural Language Processing and Capstone Assignment introduces students to natural language processing and its application to Capstone projects. Students will learn to apply technology and business techniques to gain business insight, competitive intelligence and consumer sentiment. Learn the basics of text analysis, sentiment analysis, and text classification. Explore the possibilities of using NLP for social media analysis and other data-driven applications. Learn about the latest trends and developments in the field of NLP and data science. Explore the possibilities of using social media analytics for marketing, customer service, and other data-driven applications.
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