Firstly, here’s what Internet of things (IoT) stands for: the zillion physical devices across the world that are collecting and sharing data while being connected to the internet!
Gadgets that would have been otherwise dumb are made to function with a certain level of digital intelligence to serve various purposes of mankind. Cheap processors and wireless networks have made IoT possible to make anything a part of the vast IoT universe. Each of them has a unique IP address, connects to the internet and communicates with each other online.
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How Does Internet Of Things Work?
The IoT is transforming the way we do things, from the way we drive, make purchases and use energy resources. If you should understand how the Internet of Things works, you must be familiar with sensors. Sophisticated sensors are embedded in things around us. These are pieces of hardware that monitor processes, take measurements and collect data.
There are specific sensors for different uses. Following are the most commonly used sensors:
• Temperature sensors: These are used in industries, greenhouses, and agricultural fields to ensure that the temperature of the machinery or soil can be tracked for maximum output.
• Proximity sensors: These detect motion and are frequently used to monitor the availability of parking spaces in airports, malls, and stadiums.
• Chemical/smoke and gas sensors: These are designed to gauge air quality in cities.
• Infrared (IR) sensors: From visualizing heat leaks in houses to helping doctors check the blood flow, IR sensors have several applications.
• Level sensors: These detect the level of fluids in commercial establishments. Their applications include measuring water levels in reservoirs, diesel fuel gauging, and irrigation control.
How Does Internet Of Things Matter To A Data Scientist?
Data science has greatly benefitted from all the hype surrounding IoT. In fact, according to Google, IoT is only second to the most searched keyword in tech space — data science! A world dictated by IoT will not only be an advanced one but also a data-heavy one! An enormous amount of data will be transferred between interconnected devices.
For example, your heart rate will be monitored by your Fitbit on a daily basis but imagine these devices tracking the heart rates of wearers across the 5 continents at the same frequency. The volume of data that needs to be processed in such an activity would be massive!
That’s where we need skilled data scientists to break down and organize the tons of information. In a customer-driven environment, their findings help guide companies to keep track of customer expectations, market trends and competitors with efficiency.
It has been estimated that by 2025, about 30 billion devices will be connected in the IoT infrastructure. This translates as a growing demand for individuals trained in data science as they must talk, understand and interpret data and derive valuable insights from it.
The Way Forward For Data Scientists On Internet Of Things
Here is one more reason to become a data scientist. According to a survey conducted by the MIT Sloan Management Review, companies with a workforce of strong analytics capabilities are 3X more likely to thrive from the IoT. You would love reading this comprehensive blog post on why becoming a data scientist is the next futuristic career move you should make.
Thus, for aspiring data scientists, time is too short to ponder upon. The relationship between data science and IoT will be a match made in heaven. To overlook or remain oblivious to its importance would be foolish. Get future ready by checking out online boot camps that offer Data Analytics course for Managers or newbies. The future will indeed be a great place for lifelong learners who are willing to brave new tides.