Certificate in Engineering Data Analytics: Foundations

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The Certificate in Engineering Data Analytics: Foundations is a comprehensive course designed to meet the growing industry demand for data analytics skills in the engineering sector. This program equips learners with essential skills in data analysis, visualization, and machine learning, providing a solid foundation for career advancement in engineering and technology fields.

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With the increasing importance of data-driven decision-making, engineers with data analytics skills are highly sought after by employers. This course covers key topics including statistical analysis, data visualization, and machine learning algorithms, enabling learners to extract valuable insights from large and complex data sets. By completing this certificate program, learners will demonstrate their proficiency in data analytics and enhance their career prospects in a wide range of engineering disciplines. The program's practical, hands-on approach ensures that learners are well-prepared to apply their skills in real-world engineering contexts.

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โ€ข Introduction to Engineering Data Analytics: Overview of data analytics in engineering, importance, and applications
โ€ข Data Collection and Preprocessing: Methods for data collection, cleaning, and preparing data for analysis
โ€ข Statistical Methods for Data Analysis: Descriptive and inferential statistics, probability distributions, and hypothesis testing
โ€ข Data Visualization: Techniques for creating effective visualizations to communicate data insights
โ€ข Machine Learning Foundations: Overview of machine learning algorithms, model training, and evaluation
โ€ข Supervised Learning: Regression and classification algorithms, training, and evaluation
โ€ข Unsupervised Learning: Clustering and dimensionality reduction algorithms, training, and evaluation
โ€ข Data Ethics and Privacy: Ethical considerations in data analytics, data privacy, and security
โ€ข Data Analytics Tools and Software: Overview of popular data analytics tools and software, e.g., Python, R, and Tableau

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The Certificate in Engineering Data Analytics: Foundations program prepares students for a variety of data-driven roles in the UK job market. This 3D pie chart highlights the distribution of opportunities in four popular data-related professions: 1. **Data Engineer (30%)** - Construct and maintain data architectures, ensuring data quality, reliability, and security. 2. **Data Analyst (40%)** - Collect, process, and perform statistical analyses on data to solve complex business problems. 3. **Data Scientist (20%)** - Develop predictive models and algorithms to drive data-based decision-making. 4. **BI Analyst (10%)** - Translate business needs into data and system requirements, and then develop dashboards and reports. As the demand for data professionals continues to grow, this program offers an excellent foundation for building a successful career in the industry.

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็คบไพ‹่ฏไนฆ่ƒŒๆ™ฏ
CERTIFICATE IN ENGINEERING DATA ANALYTICS: FOUNDATIONS
ๆŽˆไบˆ็ป™
ๅญฆไน ่€…ๅง“ๅ
ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
London School of International Business (LSIB)
ๆŽˆไบˆๆ—ฅๆœŸ
05 May 2025
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