Certificate in Industrial Data Analytics for Engineers
-- ViewingNowThe Certificate in Industrial Data Analytics for Engineers is a comprehensive course designed to equip engineers with essential data analytics skills demanded by today's industry. This course emphasizes the importance of data-driven decision-making in engineering, manufacturing, and related fields.
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โข Introduction to Industrial Data Analytics: Fundamentals of industrial data analytics, data-driven decision making, big data and industrial internet of things (IIoT).
โข Data Preprocessing: Data cleaning, data wrangling, data integration and data transformation for industrial data.
โข Statistical Methods for Data Analysis: Descriptive and inferential statistics, probability theory, hypothesis testing, and statistical process control.
โข Machine Learning for Industrial Applications: Supervised and unsupervised learning, regression, classification, clustering and dimensionality reduction.
โข Time Series Analysis and Forecasting: Autoregressive integrated moving average (ARIMA), exponential smoothing state space model (ETS), and long short-term memory (LSTM) networks.
โข Predictive Maintenance and Asset Performance Management: Condition-based monitoring, predictive and prescriptive maintenance, and reliability-centered maintenance.
โข Industrial Data Visualization: Data visualization techniques for industrial data, including line charts, scatter plots, and heatmaps.
โข Data Security and Ethics in Industrial Analytics: Data privacy, data security, and ethical considerations in industrial data analytics.
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