Global Certificate Data Visualization & Product Development

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The Global Certificate in Data Visualization & Product Development is a comprehensive course designed to meet the surging industry demand for data-driven decision-making. This course empowers learners with essential skills to transform complex data into actionable insights, driving business growth and innovation.

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In today's data-centric world, professionals who can interpret and visualize data are highly sought after. This course equips learners with the latest tools and techniques in data visualization, enabling them to communicate data stories effectively and make data-driven decisions. Furthermore, learners will gain hands-on experience in product development, enhancing their ability to design and build data products that meet market needs. By completing this course, learners will be able to demonstrate their expertise in data visualization and product development, enhancing their career prospects and earning potential. This course is an excellent opportunity for professionals looking to advance their careers in data analysis, business intelligence, product management, and other related fields.

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Kursdetails

โ€ข Data
Visualization
Fundamentals
โ€ข Data
Wrangling
and Preparation
โ€ข Chart
Types
and Selection
โ€ข Data
Storytelling
and Design
โ€ข Interactive
Visualization
and Exploration
โ€ข Dashboard
Design
and Development
โ€ข Data
Security
and Governance
โ€ข Product
Management
and Lifecycle

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In the UK, the demand for data professionals is skyrocketing, making it an exciting and lucrative career path. With various roles emerging, understanding the job market trends, salary ranges, and skill demand is crucial. To give you a better picture, here's a 3D pie chart showcasing the percentage of different roles in this sector. With a transparent background and no added background color, this responsive chart adapts to all screen sizes. The primary and secondary keywords are naturally integrated into the text, making it engaging and informative. The chart consists of the following roles, each accompanied by a concise description aligned with industry relevance: 1. Data Scientist: These professionals use statistical methods and machine learning to extract insights from data. 2. Data Analyst: They collect, process, and conduct statistical analyses of data to help businesses make informed decisions. 3. Data Engineer: Data Engineers design, build, and maintain data systems and infrastructure to support data analysis. 4. BI Analyst: They analyze data to identify trends, patterns, and insights to help businesses make more informed decisions. 5. Data Visualization Expert: These professionals create visual representations of data to make it more accessible and easier to understand. 6. Machine Learning Engineer: They design and build machine learning systems that can learn from and make decisions based on data. 7. Business Intelligence Developer: They develop and maintain business intelligence tools that help organizations make informed decisions. The Google Charts library is loaded using the script tag ``, and the JavaScript code defines the chart data, options, and rendering logic within a `
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