Executive Development Programme in Textual Data Analysis: Mastery
-- ViewingNowThe Executive Development Programme in Textual Data Analysis: Mastery certificate course is a comprehensive program designed to meet the growing industry demand for professionals skilled in textual data analysis. This course emphasizes the importance of extracting valuable insights from unstructured text data to drive business strategy and decision-making processes.
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โข Fundamentals of Textual Data Analysis: Introduction to text mining, natural language processing, and data analysis techniques.
โข Data Preprocessing: Cleaning, transforming, and preparing text data for analysis. This includes handling missing data, removing stop words, and stemming/lemmatization.
โข Data Visualization: Techniques for visualizing text data, including word clouds, bar charts, and network graphs.
โข Sentiment Analysis: Techniques for analyzing the emotional tone of text data, including opinion mining and emotion detection.
โข Topic Modeling: Techniques for discovering hidden topics in text data, including latent Dirichlet allocation (LDA) and non-negative matrix factorization (NMF).
โข Text Classification: Techniques for categorizing text data into predefined categories, including Naive Bayes, logistic regression, and support vector machines.
โข Deep Learning for Text Analysis: Introduction to deep learning techniques for text analysis, including recurrent neural networks (RNNs) and convolutional neural networks (CNNs).
โข Evaluation Metrics: Techniques for evaluating the performance of text analysis models, including accuracy, precision, recall, and F1 score.
โข Ethical Considerations: Discussion of ethical considerations in text analysis, including data privacy, bias, and fairness.
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