Blog: How to Become the Healthiest You
by PaisleyH

Ways To Learn More About Big Data

Are you ready for the age of artificial intelligence? A tremendous amount of data is being produced on a daily basis by every industry out there, and that number's growing at an exponential rate.

Date:   4/22/2022 11:30:46 PM   ( 31 mon ) ... viewed 173 times

Are you ready for the age of artificial intelligence? A tremendous amount of data is being produced on a daily basis by every industry out there, and that number's growing at an exponential rate. So much data is being produced, in fact, that it's getting impossible to store it all let alone analyze it or work with it, so companies are relying more and more on artificial intelligence to handle it.

While artificial intelligence is doing the work, however, human workers are still needed, including data scientists and data architects to name a few. The demand for such workers is huge, and there aren't nearly enough skilled people and companies to fill the needed positions.

If you're a worker looking for job security, big data could mean a new career for you, if you're willing to acquire some new skills. If you own a business, it could be a way for your company to do agile market research in order to not just survive, but thrive.

Fortunately, many universities are offering online courses on big data for free. Here are some ways you can learn more about big data.

Learn Python Coding

You don't have to be a professional programmer, but having a basic knowledge of coding is helpful. Learning how to code Python will be a big boost. Python is one of the most popular code programs out there. It's the main language used by data science and artificial intelligence. Having a basic knowledge of Python will help you automate your work and create your own unique applications. Best of all, you can learn it online for free. Do a Google search for free Python courses.

Study the Hadoop Ecosystem

Hadoop is an open-source platform that stores and analyzes huge quantities of data. It's a framework rather than a service or programming language. Imagine a suite of services, like Microsoft, only instead of a package of office programs, this one is for analyzing huge quantities of data.  Again, search for free courses online.

Get a Grasp on Statistics

You may have studied it in college, but understanding statistics will also help you in your big data career. Statistics involves collecting data and then analyzing it so that you can learn from it. If you want to collect meaningful data while working with artificial intelligence, you need to understand when biases in data should be corrected and how to properly measure the uncertainties that come with that data. Again there are online courses you can take to learn this vital skill.

Master Data Visualization

Understanding data visualization is also crucial. In order to effectively communicate the meaning of data, it helps to prepare visuals of it such as in pictures or charts. These visuals are valuable when brainstorming for new ways to improve business or at the start of a project to give everyone involved an easy way to understand how to get things done. It's also useful in tutorials and other courses.

Gain Knowledge About Machine Learning

Machine learning is a form of artificial intelligence where machines use algorithms and data to learn in a way that's similar to how humans learn. Machine learning is different from deep learning in that different algorithms are used. With machine learning, human intervention is needed, meaning job security for you and your company. You create algorithms that will enable artificial intelligence to make a prediction. That prediction is then evaluated for errors and the program is then adjusted. There are online courses for this skill as well.

Acquire an Understanding of the Internet of Things

The internet of things refers to all of the devices that are connected to the internet. It includes not only your computers and cell phones but also televisions, smart heating systems and even your refrigerator in some cases. All of these things contribute to data, and having an understanding of how it works will aid you in your work in the field of big data.

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