Certificate in Data Analytics for Non-Analysts: Practical Analytics

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The Certificate in Data Analytics for Non-Analysts: Practical Analytics is a valuable course designed for professionals seeking to acquire data analytics skills without a background in formal analysis. This program highlights the importance of data-driven decision-making, addressing the growing industry demand for professionals who can interpret and apply data insights in various roles.

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Through hands-on training, learners will gain essential skills in data manipulation, visualization, and statistical analysis using popular tools like Excel, SQL, and Tableau. Upon completion, learners will be able to extract and analyze data, create compelling data visualizations, and communicate actionable insights to stakeholders. These skills are crucial for career advancement, as they empower professionals to drive strategic decisions, enhance operational efficiency, and promote data-informed innovation. By earning this certificate, learners demonstrate their commitment to continuous learning and position themselves as valuable assets in today's data-driven economy.

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โ€ข Introduction to Data Analytics
โ€ข Understanding Data: Types, Sources, and Quality
โ€ข Data Cleaning and Preparation
โ€ข Data Visualization: Telling Stories with Data
โ€ข Descriptive and Inferential Statistics
โ€ข Basic Statistical Analysis using Python/R
โ€ข Introduction to Machine Learning
โ€ข Practical Machine Learning for Non-Analysts
โ€ข Communicating Analytics Results to Stakeholders
โ€ข Ethical Considerations in Data Analytics

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The Certificate in Data Analytics for Non-Analysts: Practical Analytics is a course designed for professionals who want to develop their data analytics skills without a background in data analysis. With the growing demand for data analytics skills in various industries, this course offers a practical approach to understanding and applying data analytics techniques. This section presents a 3D pie chart that highlights the job market trends for data analytics roles in the UK. The chart includes the following roles: Data Analyst, Business Intelligence Developer, Data Scientist, and Data Engineer. The data is sourced from job market statistics in the UK and provides a snapshot of the current demand for these roles. The chart reveals that Data Analyst is the most in-demand role, accounting for 60% of the job market. Business Intelligence Developer follows closely with 20% of the demand. Data Scientist and Data Engineer roles make up the remaining demand, with 15% and 5% respectively. This 3D pie chart is designed with a transparent background and no added background color, allowing it to blend seamlessly with any webpage or layout. The chart is also fully responsive, adapting to all screen sizes by setting its width to 100%. By offering this course, we aim to equip professionals with the necessary skills to succeed in the growing field of data analytics. With a focus on practical applications, the course covers essential data analytics techniques and tools, including data visualization, statistical analysis, and data storytelling. By understanding the current job market trends, this course can help professionals make informed decisions about their career paths in data analytics. Whether you're looking to transition into a new role or enhance your existing skills, the Certificate in Data Analytics for Non-Analysts: Practical Analytics is an excellent place to start.

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CERTIFICATE IN DATA ANALYTICS FOR NON-ANALYSTS: PRACTICAL ANALYTICS
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ๅญฆไน ่€…ๅง“ๅ
ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
UK School of Management (UKSM)
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05 May 2025
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