4 Principles of Web Accessibility ( POUR )

Most of us are blessed with excellent vision and gross, fine motor skills. Nonetheless, there is a section of our society, who are not so fortunate and therefore to access webpages or web applications they use a different set of accessibility options.

These principles are – Perceivable, Operable, Understandable & Robust. It is also known by the term POUR. Incidentally, the Web Accessibility Initiative of the World Wide Web Consortium has set the above mentioned WCAG guidelines after careful study. If a digital content fails in any of the said parameters then it is not considered 100% accessible for people with disabilities and other shortcomings.

Web developers therefore need to follow the rules of POUR strictly in order to make their content available to people with special needs, and the reason is they do not use traditional input and output devices such as mouse or LCD / LED monitors. For example, individuals with partial or complete blindness typically exploit screen readers while a few opt for refreshable Braille device.

In such a scenario, web developers need to provide text alternatives for content that is graphic in nature. An image is a perfect example. The idea is make a web element PERCEIVABLE. Using an ALT tag for non-text content can make browsing a gratifying experience for people with special needs.

Those with partial or minimal vision problem use browser magnification feature to increase the font size using keyboard shortcut keys ( ctrl + or command + ). Therefore, web developers should never disable zoom feature in mobile applications.

Another important accessibility feature is content interpretation. The text needs to be UNDERSTANDABLE. A good web agency makes sure that text content is aligned in the right form and format. Using info graphics instead of text can hinder with screen readers and assistive audio devices. The same needs to be addressed with the right set of alternatives.

Moreover, web developers also need to incorporate ROBUST framework which will allow all current and future assistive technologies to be embedded without additional support or modification.

Finally, a good webpage / application should boast excellent OPERABLE User Interface & Navigation. It simply means providing all the mouse functionalities in a keyboard, to access digital content or application. A good web developer makes sure that the interface and navigation is not trapped in a loop or gets stuck in certain section of the page / app. Some of the traps include -

1.

& – Using a div or span as a button can stop the keyboard tabbing cycle ( Pattern ). In other words, the focusable feature via keyboard may get compromised. Therefore web development agencies use buttons to activate certain action on the page.

2. – For navigation between various webpages the best option is to use tag. Moreover, these tags support space and enter to perform the necessary action.

3. Hamburger menus need to be tagged appropriately so screen readers don’t miss them.

HTML buttons and links are an integral part of Operable User Interface & Navigation. By exploiting it in the right places web developers can help screen reader users in foreseeing the result of such an action.

Summation -

One of the factors that influence user experience is accessibility. WWW is not just for folks with healthy vision and motor skills. It is also for those with special needs. Web development agencies therefore need to address the above issues and make web content accessible to everyone.

One of the ways to check its implementation is tabbing through the site and check for elements / actionable controls which lack keyboard support. Replace them with HTML alternatives. Netlynxinc, a U.S based web development company provides accessibility options in its full glory making website / app browsing a gratifying experience for people with special needs.

Data Science Course – Learn From Skilled Professionals and Master the Art of Data Science

Data Science is a fast-evolving technology field that offers numerous benefits for businesses and organizations. The storage and processing of data are the two main challenges faced by organizations. To overcome these challenges, the field of data science was originated.

It is a mixture of several algorithms and visualization tools that can be used to derive meaningful insights from unprocessed data. The main agenda is to discover hidden patterns in raw data.

The processing is done by professional data scientists analyzing from different perspectives and using machine learning algorithms to derive conclusions. To become a highly skilled data scientist, the data science course Africa is considered the best option to gain a deep insight.

Why is Data Science Needed?

In today’s world, data is available everywhere abundantly. Efficient frameworks have also been evolved to store abundant data and use it whenever needed. But the storage of abundant data has led to data explosion. Therefore, the storage alone does not bring in benefits. It’s the processing that matters.

Since abundant data is available, the team can use several tools and algorithms to develop the desired results for the organization.

For example, if a particular organization decides to host a survey to collect user feedback about a particular product, a large amount of data will be collected and stored. This large amount of data can be processed and analyzed using different techniques provided by data science. Using this technique, meaningful conclusions can be generated, and the organization can improve the product.

To master the art, a data science course in Cape Town is extremely beneficial as you can get hands-on experience that is essential for your career.

Essential Skills to Acquire for the Role of Data Scientist:

The field is boundless with a wide range of concepts and principles. This field consists of numerous applications as it is the future of Machine Learning and Artificial Intelligence (AI). Therefore, there is a huge need for skilled data scientists and professionals who are aware of the importance of this field.

Given below are some skills to be mastered to excel in this field.

Master your Basics: As beginners, it is extremely important to learn the basics. Without basic knowledge about the field, practical implementation would be difficult.
Sharpen your Programming Skills: Programming is yet another important skill to acquire to apply the different techniques effectively. R and Python are the most popular languages used in data science.
Statistical Skills: To derive meaningful insights from raw data and to build models, statistics is important. Basic knowledge of concepts like mean, median, mode, variance, normal distribution, etc., is mandatory.
In addition to the above-mentioned skills, there are many other domains to master to become a skilled data scientist. However, it is not mandatory to master all the domains. One should be an expert in at least one of the domains.

Exploring investment opportunities in healthcare sectors

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