Both Data Science & Artificial Intelligence are known throughout the world as the most advanced digital technologies. The two techniques have been used in different fields for making work easier and help people to find a solution to any problem easily. Both Data Science and AI are dependent on each other in many ways. A great revolution has occurred throughout the globe due to the development of both these tools.
Data science is a branch of science and technology through which data is collected and prepared. The selected data is then used by AI for different applications. Data helps engineers to make predictions for the future and AI helps in developing different systems with the help of different methodologies.
Many young individuals are trying to make a career in the field of Data Science and AI as both are the top fields. Data science course fees in India are comparatively less than what is in other countries. Several institutes are offering courses in data science and AI at affordable prices. One must ensure that the organization through which he/she is joining a course must be recognized by a suitable body so that they can get an accredited & valuable certificate.
What is Data Science?
Data science deals with the collection of data, its source, and value, and turning it into useful data to get proper information. Every organization has massive data related to their businesses. Data is processed for different business operations. Data scientists use a wide range of tools for data processing. Data can be processed from different sources. If you want to learn skills in data science you can join an online course.
What Are the Different Methods Available in Data Science?
As we know that data science and AI are interrelated. In data science, different methods are available that make it possible to use data science in artificial intelligence. Various methods of data science form a complete lifecycle. Various methods of data science are:
- Capture the Data
This step deals with collecting raw data. Raw data is collected from different sources such as data entry, emails, etc. After this data collection, useful data is extracted that is useful for developing different applications.
- Maintaining the Data
The collected data is then cleaned and processed and it is stored in the warehouse for future use.
- Processing of Data
Once the data is stored it is then processed. Processing of data helps in creating different useful apps.
- Analyzing the Data
The processed data is finally analyzed by performing different functions. Analyzing data is important as it helps in finding errors and correcting them.
- Getting Results
Finally, results can be obtained by using different tools of artificial intelligence.
Different Applications of Data Science
Data science is useful in many ways. The techniques used in data science help in making inferences for the future. The data can also help in making future predictions and making changes accordingly in business strategies. Making changes in data also helps in fulfilling customer needs depending on the latest market trends.
The knowledge and tools of data science are used in various fields. Organizations use a large amount of data for business operations and therefore they hire data scientists to deal with the massive data. Different applications of data science are given below:
Banking Sector: Data science is used effectively in the field of banking. It helps in preventing fraud. Software engineers are hired by banks for managing risks by verifying consumer information. Data collected from different customers give accurate information to the bankers that help in preventing fraud.
Transportation Industry: Data science technology is useful in the transportation industry. The technology is used in developing self-driven vehicles. Data science also helps in monitoring the movement of vehicles and the consumption of fuel.
Healthcare Industry: Data science tools are also useful in the healthcare industry. Data science helps in making a quick diagnosis. Data science technology is also used in the discovery of new and improved drugs for improving the lives of people. Data science has helped in developing new machines for getting accurate images of different body parts for quick diagnosis of diseases.
E-Commerce: Data science is used widely for the successful operation of an online business. The technique is used by data scientists for finding customers for particular brands and businesses. This gives the best opportunities for businesses to enhance customer support and satisfy customers depending on their needs.
Manufacturing Industry: Data science is also used in the manufacturing industry as it helps in enhancing the production of materials while reducing costs. It also helps in increasing the profit. Data collected from different sources help to find errors and immediate solutions for the same. The technique and tools of data science also help in improving the quality of products.
What is Artificial Intelligence?
Artificial intelligence is a study of techniques used by computers to make tasks easier. Now, the tasks performed by human beings can be done by machines using artificial intelligence. The machines that work through the technique of AI behave like human beings and the machines also can make a decision, solve problems, and reason.
What Are the Different Types of Artificial Intelligence?
There are three types of artificial intelligence. We will discuss each in brief:
Artificial Narrow Intelligence (ANI): It is the most basic type of AI and a person can only find a solution to a single problem by using this type. People using this technique can work in a particular field only. It has several limitations and capabilities.
Artificial General Intelligence (AGI): It is a little advanced type and in this type, a machine can be used having the thinking power same as that of a human being. This can be used for various tasks such as computational purposes, language processing, and image processing. ANI can be used along with this type to get better results.
Artificial Superintelligence (ASI): It is the most advanced type and it is considered a superpower which means that this type can help in developing machines that can have more ability to think as compared to the human being. Machines based on this type can also be used for doing multiple works at a time. But, the computational ability of the human mind is still greater than that of machines.
Applications of Artificial Intelligence
The most important use of AI is to help human beings to develop machines that can be used faster than human brains and can help in predicting future results. AI can help human beings in reducing their mental labor.
Artificial intelligence is used in a wide range of fields. It helps in making lives easier to live. The most important applications are:
Video Gaming: Children love playing video games but do you know that video games are developed by using the tools and techniques of AI? The bots used in video games are managed by AI. Players can play a game depending on their intelligence level and the characters in the video games can also be changed. All of this can happen due to the techniques of AI.
Healthcare Industry: AI is very useful in the healthcare industry. The techniques of AI are used in finding and developing drugs and finding a cure for different diseases. The techniques are also used in determining the future outcomes of several viral and bacterial infections. Now, AI has also made it easier for surgeons to perform complicated surgeries easily and quickly by using robots.
Shopping: Online business operators also make use of AI for increasing their customer base. They can search the history of people and can advertise particular products. They can also enhance the production of new products depending on the demands of customers. Thus, online business owners are using the technique of AI for attracting potential customers. Due to the recent spread of the pandemic throughout the world more and more people are interested in online shopping as it also helps in saving time.
Chatbots: Many companies are using chatbots for running online businesses. Chatbots allow customers to get answers to their questions. Chatbots work through the technique of AI and help customers satisfy their queries immediately.
In conclusion, data science and artificial intelligence are extremely popular branches of technology. Data science and AI techniques have been used in different fields and have helped human beings in saving time. Now, machines are being used for completing tasks more quickly and efficiently than human beings.
Data science and AI together make an excellent combination that has brought a great revolution. There is a high demand for engineers skilled in data science skills and AI knowledge. So, if you want to grow your career in the field of technology you can choose either Data Science or AI and learn the essential tools and techniques of both.
- What are the skills required for becoming a data scientist?
A data scientist must possess knowledge of computer languages such as python, R, NLP, statistics, SQL, etc. A data scientist should also possess a B-tech degree.
- What are the skills required for learning AI techniques?
A person must have basic knowledge of computer languages such as Java, C++, or python. They must have deep knowledge of Tensorflow, Pytorch, etc.
- Which course is the best in data science?
Data science is a wide field. You must search on the internet for the best course depending on your interest. You must possess a B-tech degree in data science to pursue your career in this field.
- Is data science a good career choice for me?
Data science is growing rapidly and there is a high demand for data scientists throughout the world. If you have an interest in mathematics and programming then data science is the right career choice for you.
- What are the data science course fees in India?
The data science course fees in India vary from one region to another. You must search on the internet depending on the course you want to choose and the place where you want to do the course.
- What is the relationship between data science and AI?
Data science and AI are closely related to each other. You cannot use AI without the knowledge of data science. The data processed through data science is used for developing machines based on AI.
- What is the most important benefit of becoming a data scientist?
The most important benefit of becoming a data scientist is that you can get a high-paying job easily in any part of the world because there is a huge demand for data scientists.
- What are the different fields where you can work as an AI engineer?
AI knowledge and skills are used in different fields. Therefore, AI engineers can work in a wide range of fields such as banking, transportation, healthcare, manufacturing, insurance, etc.
- Name a few applications of data science.
Data science is used in different fields such as banking, healthcare, manufacturing, transportation, online shopping, etc.
- What is the main goal of artificial intelligence?
The main goal of AI is to work like a human brain using computers so that machines can work smartly to make decisions.