Customizing Content: Customizing Content refers to the ability to modify and personalize the appearance and behavior of web pages and applications. It includes skills such as modifying layouts, creating custom designs, and implementing user-specific preferences. This skill is measured in the test to assess a candidate's ability to adapt and tailor web content based on specific requirements and user expectations.
Creating Content: Creating Content involves the ability to develop and design web pages, applications, or other digital content. It includes skills such as writing HTML and CSS code, designing user interfaces, and optimizing web content for performance and accessibility. This skill is assessed in the test to evaluate a candidate's ability to create visually appealing and functional web applications.
Working With Data: Working With Data encompasses skills related to managing and manipulating data within web applications. It involves tasks such as retrieving data from databases, parsing and transforming data, and performing calculations or aggregations. This skill is measured in the test to assess a candidate's ability to work with data sources, integrate data into web applications, and ensure accurate and efficient data processing.
Environment Setup: Environment Setup refers to the ability to set up the necessary software and configurations to develop and deploy web applications. It includes skills such as installing and configuring development environments, managing dependencies, and deploying applications to production servers. This skill is assessed in the test to evaluate a candidate's ability to prepare and maintain a suitable development environment for web application development.
Data Visualization: Data Visualization involves presenting complex data in a visual and interpretable format. It includes skills such as creating charts, graphs, and dashboards, applying data visualization best practices, and using tools or libraries for data visualization. This skill is measured in the test to assess a candidate's ability to effectively communicate and represent data visually, facilitating better decision-making and insights.
Data Analytics: Data Analytics refers to the process of extracting meaningful insights and patterns from data. It involves skills such as data exploration, statistical analysis, predictive modeling, and data-driven decision-making. This skill is assessed in the test to evaluate a candidate's ability to analyze and interpret data, derive actionable insights, and utilize data to drive business outcomes.
