Certified Specialist Programme in ISO 45037 Data Analysis
-- viewing nowISO 45037 Data Analysis is a specialized programme designed for professionals seeking to enhance their skills in occupational health and safety data analysis. Data-driven decision-making is at the core of this programme, equipping learners with the tools to extract valuable insights from occupational health and safety data.
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Course details
Data Quality Assessment: This unit focuses on evaluating the accuracy, completeness, and consistency of data, which is crucial for effective data analysis in ISO 45037. •
Data Cleaning and Preprocessing: This unit covers the steps involved in removing errors, handling missing values, and transforming data into a suitable format for analysis. •
Descriptive Statistics: This unit introduces the fundamental concepts of descriptive statistics, including measures of central tendency, variability, and data visualization techniques. •
Inferential Statistics: This unit covers the principles of inferential statistics, including hypothesis testing, confidence intervals, and regression analysis. •
Data Mining and Machine Learning: This unit explores the application of data mining and machine learning techniques to extract insights from large datasets. •
Data Visualization: This unit focuses on the effective communication of data insights through various visualization techniques, including charts, graphs, and heat maps. •
Big Data Analytics: This unit covers the principles of big data analytics, including data warehousing, data governance, and advanced analytics techniques. •
Business Intelligence: This unit introduces the concepts of business intelligence, including data warehousing, reporting, and decision support systems. •
Data Governance: This unit covers the importance of data governance in ensuring data quality, security, and compliance with regulatory requirements. •
ISO 45001 Implementation: This unit provides guidance on implementing the ISO 45001 standard, including risk assessment, gap analysis, and internal audit procedures.
Career path
Entry requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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