Professional Certificate in Categorical Data Analytics and Architecture
-- ViewingNowThe Professional Certificate in Categorical Data Analytics and Architecture is a comprehensive course that addresses the growing industry demand for expertise in categorical data analysis. This certificate equips learners with essential skills to design, implement, and maintain robust categorical data analytics architectures.
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โข Introduction to Categorical Data Analytics: Defining categorical data, exploring common types and uses, understanding the importance of analyzing categorical data.
โข Data Preprocessing: Cleaning and transforming raw data, handling missing values, encoding categorical variables, feature selection.
โข Exploratory Data Analysis: Descriptive statistics, data visualization, identifying patterns and trends in categorical data.
โข Probability and Statistical Inference: Basic probability concepts, Bayes' theorem, hypothesis testing, confidence intervals.
โข Chi-Square Tests: Chi-square distribution, chi-square test of independence, chi-square goodness-of-fit test.
โข Logistic Regression: Understanding logistic regression, interpreting coefficients, binary and multiclass logistic regression.
โข Decision Trees and Random Forests: Decision tree structure, building decision trees, random forests, and ensemble methods.
โข Text Analytics: Text preprocessing, feature extraction, sentiment analysis, topic modeling.
โข Data Architecture for Categorical Data: Designing data storage solutions, selecting appropriate databases, data modeling, data warehousing.
โข Big Data Analytics: Hadoop, Spark, and other big data technologies, distributed computing, and parallel processing for categorical data.
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