Certificate in Industrial Data Analytics for Engineers

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The 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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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

Learners will gain hands-on experience with powerful data analytics tools and techniques, enabling them to extract valuable insights from complex datasets. With the increasing adoption of Industry 4.0, data analytics has become a critical skill for engineers to advance their careers. This course not only covers the technical aspects of data analytics but also addresses the ethical and legal considerations surrounding data privacy and security. By completing this course, learners will be able to demonstrate their expertise in industrial data analytics, making them valuable assets to their employers and opening up new career opportunities.

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ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Introduction to Industrial Data Analytics: Fundamentals of industrial data analytics, data-driven decision making, big data and industrial internet of things (IIoT).
โ€ข Data Preprocessing: Data cleaning, data wrangling, data integration and data transformation for industrial data.
โ€ข Statistical Methods for Data Analysis: Descriptive and inferential statistics, probability theory, hypothesis testing, and statistical process control.
โ€ข Machine Learning for Industrial Applications: Supervised and unsupervised learning, regression, classification, clustering and dimensionality reduction.
โ€ข Time Series Analysis and Forecasting: Autoregressive integrated moving average (ARIMA), exponential smoothing state space model (ETS), and long short-term memory (LSTM) networks.
โ€ข Predictive Maintenance and Asset Performance Management: Condition-based monitoring, predictive and prescriptive maintenance, and reliability-centered maintenance.
โ€ข Industrial Data Visualization: Data visualization techniques for industrial data, including line charts, scatter plots, and heatmaps.
โ€ข Data Security and Ethics in Industrial Analytics: Data privacy, data security, and ethical considerations in industrial data analytics.

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The certificate in Industrial Data Analytics for Engineers focuses on equipping professionals with the necessary skills to excel in the data-driven industrial landscape. With the increasing adoption of Industry 4.0, the demand for skilled engineers in this field has surged in the UK. This 3D pie chart showcases the most sought-after skills and their respective demand among recruiters and employers, providing valuable insights for career growth. The chart is designed with a transparent background and responsive layout, allowing it to blend seamlessly into any webpage and adapt to various screen sizes. The visualization highlights the importance of Python, SQL, Machine Learning, Data Visualization, and Big Data skills in the job market, emphasizing the need for continuous learning and development in this ever-evolving domain.

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ใ‚ตใƒณใƒ—ใƒซ่จผๆ˜Žๆ›ธใฎ่ƒŒๆ™ฏ
CERTIFICATE IN INDUSTRIAL DATA ANALYTICS FOR ENGINEERS
ใซๆŽˆไธŽใ•ใ‚Œใพใ™
ๅญฆ็ฟ’่€…ๅ
ใงใƒ—ใƒญใ‚ฐใƒฉใƒ ใ‚’ๅฎŒไบ†ใ—ใŸไบบ
London School of International Business (LSIB)
ๆŽˆไธŽๆ—ฅ
05 May 2025
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