Saturday, 23 November 2024

The Demand For Data Scientists Is Rising

A data scientist is an analytics professional responsible for collecting, analyzing and interpreting data to help drive decision-making in an organization.

As part of data science initiative, data scientists often must work with large amounts of data to come up with innovative solutions.
In businesses, data scientists typically mine data for information that can be used to make predictions and help with decision making.

While data analysts use information from limited datasets to solve specific problems for organizations, data scientists pull from large and unstructured datasets to identify risks and provide outcome predictions.

Data analysts need strengths in mathematics, communications and social sciences. They benefit from understanding business economics, and consumer behaviour. 

Structured data is data that fits neatly into data tables and includes discrete types such as numbers, short texts, and dates. Unstructured data doesn't fit neatly into a data table because of its size or nature: for example, audio and video files and large text documents.

There is a demand for data scientists presently, and you can join the train if you're serious about data, and have a knack for utilizing technology effectively as regards data.

Data scientists can go into data exploration as the demand arise, understand patterns, and garner insights to help with solutions to problems and create new products or services ideas.

Data scientists gather data, and transform it into visuals such as graphs, charts and the likes. Today, you can leverage AI to help with presenting data, and generating insights.

Soft skills will be required for data scientists which include critical thinking, collaboration skills, problem solving skills and creativity.

It is better to avoid working in silos; work with a team instead. It is also essential for you to make use of illustrations and visualization to better deliver your presentation.

When it comes to hard skills, you'll need to be good with programming languages like Python and SQL.

Finally

There are many credible tech institutes that offer online education for you to study in the required amount of time for you to become a certified and professional data scientist. Online learning platforms like Udemy and Coursera are good enough for you to start out and begin your journey as a data scientist. Good luck!

Image credit: Getty Images

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Tuesday, 19 November 2024

Leveraging AI And Automation For Your Business

Leveraging AI and automation can be brilliant for your business, and can take it to newer heights.

Artificial Intelligence is the ability of digital devices to imitate or simulate intelligence associated with human beings, and have improved problem solving capabilities.

New technologies are focused on augmenting the processing capabilities of machines for human-like intelligence (e.g robotics, natural language processing, speech recognition)

Automation involves digital devices doing tasks by themselves without the need for continuous monitoring.

Physical objects are becoming more and more frequently interconnected with digital technology (e.g advanced robotics and sensing) and able to communicate without human interference.

How can AI and Automation have an impact on your business?

It is useful in various ways. There is improved accuracy and efficiency, taking care of repetitive tasks. It reduces costs, minimizing labour and expenses. You can analyze large datasets, and gain insights.

It is important to know the effect AI and Automation will have in the future of work.

Automation will replace many jobs, especially those that are repetitive. Jobs that have been around for centuries past will change, requiring new skills, and a need to adapt. More jobs will also be created, especially in tech and in utilizing AI. There will be increased productivity; you can get more done by doing less, saving time, energy and money.

What you can do to prepare for this future 

Upskill and reskill. Upskilling is when you learn something new or additional to stay or perform better at your job. While reskilling is the process of learning an entirely new set of skills to take on a different job role in a company. You will also need to adapt to constant and sudden changes. In your work, utilize AI and automation effectively.

Cheers!

Image credit: Getty Images

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Do Not Underestimate The Need For Cybersecurity In This Day And Age

Cybersecurity is the protection given to internet-connected devices and services from attacks. It involves safeguarding digital devices and ...