Data science deals with the collection, interpretation, and prediction of data using existing data sets. It is an area that got very popular after 2015. Data science collects or uses the existing information to either understand things that have already happened or predict things that are about to happen. In a business scenario, it is used for forecasts and predictions, while in the case of medicine and statistics, it is used to understand the existing data. Data science uses statistical methods combined with machine learning algorithms to improve the understanding of the data available. Here is a list of the ten best applications of data science.
Best Applications of Data Science
1. Business predictions:
Future predictions from data science are very accurate. The risk factor faced by many businesses worldwide in their future decisions gave data scientists a defined role. Data science is used in business predictions to predict market demand and customer reaction. Data science is used in predicting competitors’ future actions. Some advanced businesses use it to analyze a successful idea from the past to understand the success and develop their business accordingly. All these predictions are used to make better decisions to make more profits.
2. Medical data:
Advanced medical scans use data science to understand the spread and predict the effects of the disease. Most tumors and cancers are identified using the scans generating data, which is fed into one of the machine learning algorithms to predict the rate and area of spread. Genetic engineering involves a lot of data that is understood using the results of the algorithm. Radiation and tumor recurrence are the two best applications in the medical field. The advanced genetic risk prediction uses data science to predict the risk of genetically transmitted diseases.
3. Internet browsing:
The results of your searches appear based on a data science algorithm. All the search engines, including Google, use a data science algorithm to give the best search results. Google’s algorithm uses an algorithm that uses data, such as your location and the keywords in your searches to show you the relevant results. Google’s search results vary from place to place, despite having the same search word. It is not confined to the results you see, but your search results’ order is also decided by the data science algorithm used by Google.
4. Advertisement targeting:
Marketers use data science algorithms to interpret and understand customer behavior. They predict the target customer behavior to design the advertisement according to their goals and interests. Data science is used to analyze the available customer behavior data to understand customer behavior better. Google and other platforms such as Instagram and Spotify target the advertisements to their customers depending on customer behavior. Data science algorithms are used to decide which advertisements are best for customers.
5. Personalized suggestions:
All the personal suggestions provided by Instagram and Spotify use data science algorithms that study your behavior to predict your likes and dislikes to make the recommendations accordingly. The platforms record all the user data to the finest details, such as the amount of time the user has viewed a post or the number of times the user has listened to a playlist. The algorithm uses this data to give an accurate prediction of your choices, making the suggestions useful. Data science is used to figure out your mood during the time of a particular day, thereby suggesting songs suited to your mood.
6. Image and speech recognition:
Most image and speech recognition platforms such as Cortana, Siri, and Google use data science algorithms to better recognize your voice and images. The tag suggestions you get when you upload a picture with your friend on Facebook or Instagram are an example of an image recognition algorithm. The data science helps the apps to recognize you better. The machine learning algorithms used by the platforms make it easy to access your treasured devices and applications.
7. Gaming and augmented reality:
Gaming has not been on the list of data science users until recently. The games, such as Dota2, use players’ data to update and improve the game. The player’s feedback is not sufficient to make changes that keep the game balanced in extremely complicated games such as Dota 2. Augmented reality uses data science to understand the player’s movement accurately to improve the gaming experience. Pokémon Go is an example of a game that uses both augmented reality and data science. Augmented reality is a budding field, thereby, data science needs to improve.
8. Education:
Data science has proved to be very useful in providing good education to students during this online education era. Many education platforms use data science to measure the instruction levels compared to the student learning rate to make the teaching more student-oriented and friendly. The platforms use data science to observe and understand individual student learning rates and suggest courses that can help them grow and improve.
9. Transportation and self-driving cars:
Data science is used in the automotive and transportation industry to predict the possible failures in new designs. The machine algorithms will be fed the previous production line-up data to improve the vehicle’s performance and reliability. The vehicle dynamics can be improved a lot by the prediction and understanding provided by data science. Self-driving cars use data science to improve their algorithm’s efficiency through the prediction and understanding of previous experiences. Reinforced learning improves the stability of the systems used in automobiles.
10. Airline route planning:
Airlines use data science to predict the weather conditions, thereby predicting the delays in the flight timings. They use data science to benefit their regular customers by analyzing their behavior and predicting their future travels based on their past data. They can decide the route they will take from the source to the destination based on the frequency, the risk involved in taking that route, etc.
Closing thoughts:
Data science has applications in almost every field in today’s world, making it the most favorite career choice for today’s youngsters. Learning data science in the current scenario seems logical because the demand for data science is very high at the moment. Join the Data Science course offered by Excel to start your career as a data scientist to earn a maximum income today!