Advanced Certificate in Numeracy Analytics: High-Performance
-- ViewingNowThe Advanced Certificate in Numeracy Analytics: High-Performance is a comprehensive course designed to meet the growing industry demand for skilled numeracy analytics professionals. This certificate course emphasizes the importance of data-driven decision-making and highlights the vital role of numeracy analytics in today's digital economy.
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โข Advanced Regression Analysis: multiple linear regression, logistic regression, and polynomial regression
โข Time Series Analysis: ARIMA, exponential smoothing, and seasonal decomposition
โข Multivariate Analysis: factor analysis, cluster analysis, and discrimination analysis
โข Data Mining Techniques: decision trees, random forests, and support vector machines
โข Predictive Modeling: model validation, performance metrics, and hyperparameter tuning
โข Machine Learning Algorithms: supervised and unsupervised learning, neural networks
โข Big Data Analytics: Hadoop, Spark, and NoSQL databases
โข Data Visualization: ggplot2, Tableau, and matplotlib
โข Experimental Design and Analysis: hypothesis testing, ANOVA, and design of experiments
This list of units covers a wide range of topics related to numeracy analytics and high-performance computing, including advanced regression analysis, time series analysis, multivariate analysis, data mining techniques, predictive modeling, machine learning algorithms, big data analytics, data visualization, and experimental design and analysis. By mastering these units, students will be able to apply statistical and machine learning techniques to large datasets and generate insights that can inform business decisions.
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