[Priya Saha]

You might have come across the term “Data Science” at least once in recent times. If you are an IT person, you might have an idea about the field, and if you are not from the techies, you may be curious to know what this term is that everyone is raving about. So to define its data science is a field that requires you to analyse a data set through cleansing, aggregating, and manipulating data to carry out the said analysis. This can help better recognise the trends in the data you are analysing and form insights that will better your work in the future. Several ed-tech companies such as Simplilearn, Udemy, Edx and Learnbay have been offering various courses in the field. So if you want to start learning, then do check these platforms out.

History of Data Science

Let’s see the beginning of data science. Data Science appears to be quite new; however, in 1962, john W.Tukey first used data science even when it wasn’t officially recognised as a field yet. He predicted the effect of electronic computing on data analysis as an empirical science. From the beginning of the 21st century, data science was abundantly noticed by many scientists and working professionals. The term Data Science was coined by William.S at the beginning of the 21 st century. Consequently, the term began to popularise and evolve, and It is what we know today as Data Science.

According to John Rauser, a data scientist at amazon he claims that astronomer Tobias Mayer was the first data scientist to have existed. What’s shocking is that he was born in 1723! That’s four centuries in rewind! So why did Rauser claim this, you may ask. Mayer explained the moon’s motion using spherical motion trigonometry, and to achieve this, he compiled the data points as many as nine times. Analysing data is data science; hence Tobias Mayer was indeed a data scientist.

Applications of Data Science

These are some of the fields where data science is being used:

Fraud and Risk Detection: Many fraud detection systems use data science to understand how misconduct happens and use this data to detect any malicious activity later on. Risk and Fraud Detection is one of the most common applications of data science and is easy to do projects when starting with Data Science.
Healthcare: Data Science can be used in the early detection of life-threatening diseases such as cancer, AIDS, Autoimmune disorders and many more. This application has been saving numerous lives worldwide as most of the diseases can be brought under control when detected early.
Internet Search: When you run a google search or use any other search engine, the topics you will see in the first tab depend on two things i) Search Engine Optimisation and ii) Relevancy. This relevancy is found by the data of the demographic searching these websites and which one people are highly likely to stay in.
Targeted Advertising: The ad recommendations, Movie recommendations, and any recommendations that we get on the internet are thanks to data science. Companies use data science to analyse your search history and market products and services according to what you will be drawn to as per their analysis.
Website Recommendations: Sometimes, you will get in links on blogs, or when you research something, certain websites are recommended to you. All this is possible only due to data science.
Advanced Image Recognition: You can see that mobile devices these days have a feature of face recognition. This will not allow anyone but you to have access to your devices. This technology uses a combined system or data science and neural networks to map out your features and recognise your face or any image related searches that you are making.
Speech Recognition: Electronic assistants such as Google Assistant, Alexa and Siri can reply on command by recognising your voice.
Airline Route Planning: To find which route is the best for an aircraft to reach its destination is very difficult. You have to take a lot of factors into consideration, such as Which flight will be flying in the selected route at the given time, Air traffic at the time of aviation, Altitude of all the aircraft flying at the moment. All this is in the dataset form, and hence, data science has made it easy to plan air routes.
Gaming: Mapping the controller movements to the movement of the game is also the magic of data science.
Augmented Reality: Using Data Science in augmented reality can allow multiple users in tracking neural networks and make sure that the machine also performs well.
How to start studying data science

There are alot of institutes that provide data science courses. As mentioned earlier, Udemy, EdX, Coursera, Simplilearn are some of the platforms that provide the facility. But it is to be noted that these institutes are not solely dedicated to data science alone. But one Institute that is completely dedicated to data science is Learnbay. It is a brilliant academy looking to start its career in data science as an already working professional. So let us see some of the features of Learnbay.

Variety of domain specific electives: The biggest advantage of Learnbay courses is that you get to pick and choose electives according to your primary domain. Everything is covered whether you are interested in HR and marketing or a completely different domain such as Oil and Gas. Electives such as IoT, cloud computing, and data structures are available even for core IT professionals. So you can keep up with what you know and what you want to learn both simultaneously.

Well recognised Certifications: Learnbay’s courses are developed in collaboration with IBM; therefore, upon completion, you will obtain a certificate from IBM, which holds global significance. Everywhere you go, this certificate will prove to be valuable.
Experience wise training: With Learnbay, you can skip out on what may be of little value to you. How? Because learning provides you with unique course options, you can choose whichever course is suitable for you according to your work experience. What’s better is it doesn’t matter if you are experienced in tech or non-tech. There’s a course for every working professional.
Live and Interactive classes: Learnbay has both in person and online sessions available. All the course sessions can be attended at your convenience. You can choose time slots with which you are comfortable and attend from the comfort of your home or in a well-developed learning environment. You get three years flexible subscriptions.
Placement assistance until you land a good role: The course placement assistance you get is one you will have never seen before. Not only will you be assisted to land a perfect job, but also you will be guided in developing your online persona as a professional data scientist. You will be placed in amazing product based MNCs with a good salary package as well. What’s more, is that you will be given placement assistance until you get the perfect opportunity.
Commendable faculty: All trainers at Learnbay are industry professionals from US-based MNCs. Highly skilled professionals will also do your counselling, and you will get the best advice that would be useful for you in any realm of your career as a data scientist. Your doubts will be cleared at any time you want, and all your queries will be solved.
Additional perks of Learnbay are:

More than 15 real-time projects in every course that you will get to work on under the guidance of experienced professionals.
Classes are very flexible, and you do not have to stop working for them as Learnbay provides both weekdays and weekends sessions.
Special classes for those who are not familiar with programming concepts completely free of charge
Various graded assignments in each module include core concepts, SAS applications, big data techniques, Machine learning models and many more.
Courses are nominally priced, and you will get to access them for upto 2 years.
Recommended courses

Data Science & AI Certification Domain Specialization
Advanced AI & ML Certification Program For Top Product based MNC And Startup
Full Stack Data Science & Artificial Intelligence Course
Data Science has a great scope both currently and in the future. So if you want to know more about the field, then now is the best time to start.

[ruhiparveen]

Data science is an interdisciplinary field that combines statistics, mathematics, programming, and domain expertise to extract meaningful insights from structured and unstructured data. It involves processes like data collection, cleaning, analysis, and visualization, using tools and techniques such as machine learning and predictive modeling. Data scientists leverage large datasets to uncover patterns, trends, and correlations, helping organizations make data-driven decisions. The field spans various industries, from finance to healthcare, enabling improved strategies, innovations, and operational efficiencies.

Also visit here: Best Data Science Training in Noida

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