Masterclass Certificate in NLP Data Visualization: Advanced Techniques
-- ViewingNowThe Masterclass Certificate in NLP Data Visualization: Advanced Techniques is a comprehensive course that focuses on teaching learners how to use Natural Language Processing (NLP) and data visualization to effectively communicate complex data insights. This course is vital in today's data-driven world, where the ability to interpret and present data is highly sought after by employers.
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GBP £ 140
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โข Unit 1: Introduction to NLP Data Visualization — Review of Natural Language Processing (NLP) basics, importance of data visualization in NLP, understanding different types of NLP data visualizations.
โข Unit 2: Advanced Data Manipulation Techniques — Data cleaning, preprocessing, and transformation techniques for NLP data, handling missing and noisy data, working with unstructured data.
โข Unit 3: Advanced Visualization Libraries — Exploring popular visualization libraries such as Matplotlib, Seaborn, Plotly, and Bokeh, their features, and capabilities.
โข Unit 4: Interactive Visualizations — Creating interactive visualizations using Dash, Bokeh, and Plotly Dash, understanding user interactions, and customization options.
โข Unit 5: Advanced Charting Techniques — Advanced charting techniques such as Sankey diagrams, Chord diagrams, Heatmaps, and Treemaps, their applications in NLP data visualization.
โข Unit 6: Text Visualization Techniques — Exploring text visualization techniques such as Word Clouds, Tag Clouds, and Text Flow Diagrams, their applications in NLP data visualization.
โข Unit 7: Data Storytelling — Understanding the principles of data storytelling, creating compelling narratives using NLP data visualizations, and presenting data in a meaningful way.
โข Unit 8: Advanced Data Analysis — Advanced data analysis techniques such as sentiment analysis, topic modeling, and named entity recognition, their applications in NLP data visualization.
โข Unit 9: Best Practices in NLP Data Visualization — Best practices in creating effective and meaningful NLP data visualizations, understanding the limitations and challenges, and overcoming them.
โข Unit 10: Final Project — Students will create an end-to-end NLP data visualization project, demonstrating their understanding and mastery of the concepts covered in the course
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