Introduction
As we all know today there is a ton of data being generated around the world that is growing at an extremely fast level. This gives data scientists and AI algorithms a massive amount of information to analyze it and give us exact insights and solutions.
This huge amount of data comes from many places, like social media, Websites, sensors, devices, finance, education, e-commerce, agriculture, healthcare and many more. So we can say that data science and artificial intelligence are used everywhere today.
Additionally recently in the Cricket world cup match these two technologies are used. In cricket, the Decision Review System (DRS) uses technology to help umpires make correct decisions. AI and data science help make this method very accurate.
Data scientists use information about how a cricket ball behaved in previous games to help predict its future movements more accurately. AI algorithms analyze details like how the ball is spinning, where it hits the bat, and where it’s likely to end up.
Because of this better analysis, tools like the Decision Review System (DRS) are more reliable, So basically the DRS (Decision Review System), which is also known as the umpire decision review system, makes decisions accurately because of this better analysis, which means there are very low chances of mistakes during important match situations.
In this blog, we will explain about data science and artificial intelligence, their future scope and salary, and explore the differences between data science and artificial intelligence.
Let’s first understand what is data science and artificial intelligence?
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What Is Data Science?
Data science is everything and everywhere especially in businesses. Without data science, there is no balancing between businesses because it plays a very important role in understanding customer requirements. It combines statistical knowledge and domain specific expertise to extract invaluable insights from both organized and unorganized data.
In 2024, choosing to learn data science is a smart move.The field is growing fast, and there’s a growing need for people who are passionate about learning data science. As per linkedIn statistics 93,000+ data science jobs are available in India.
Also Read: What is Data Science?
What Is Artificial Intelligence?
As we all know today Artificial Intelligence is a rapidly advancing field in the world. Artificial Intelligence (AI) is like giving machines a brain to think, learn, and do things that humans usually do. It uses different technologies to help machines understand information like Machine Learning, Deep Learning, NLP (Natural Language Processing) and more.
Everybody’s talking about how “AI replaces human jobs.” While it’s true that AI can automate certain tasks, it is also true that there is no guarantee that AI (artificial intelligence) will replace all human jobs.
But in some cases Artificial Intelligence creates new jobs as well such as data scientists, AI engineers, and machine learning specialists.
So if you want to start a career in Artificial Intelligence you have to develop your skills accordingly and work hard to achieve this goal.
Also Read: How to Choose the Right Algorithms for Machine Learning?
Is AI more difficult than data science?
Is it hard to say which one is difficult (AI or Data Science) because it depends on your educational background, skill sets and what field you are interested in?
| Feature | AI | Data Science |
| Educational Background | You must have strong knowledge in statistics, computer science, and mathematics such as Calculus, Linear algebra, probability and probability | You must have knowledge in mathematics, statistics, and computer science but you have to strong knowledge of Statistical Analysis such as Descriptive statistics, Statistical modeling and more |
| Skill Set | Proficient in programming languages like Python and R, as well as machine learning frameworks like TensorFlow and PyTorch. Strong problem solving and analytical skills | Strong knowledge in data visualization techniques (Tableau, Power BI) and Strong communication |
| Interests | Broad field with subdomains like robotics, natural language processing, and computer vision. Suited for those interested in creating intelligent machines. | Mostly about getting useful information from data to fix business issues. Good for people who like working with data and finding trends in it. |
If you are more interested in developing algorithms and solving complex problems, then Artificial Intelligence might be a better fit for you. If you are more interested in analyzing data and extracting meaningful insights, then data science might be a better fit for you.
Learning about both fields and exploring your interests is the greatest approach to choose one. Many online and library resources can help you get started.
Also Read: Generative AI Models: How Generative AI Is Changing Creative Work
Which Profession offers a higher salary: AI or data science?
AI and data science are in demand in India and earn well. On average, AI engineers earn somewhat more than data scientists.
As per recent Naukri.com statistics indicates that the average yearly compensation for an AI engineer in India is ₹12 lakhs, while that of a data scientist is ₹11 lakhs.
Keep in mind that salaries depend on experience, Job location, Company and most importantly your skills. Both fields offer rewarding careers with high earning potential.
Here is a table comparing the average annual salaries for AI engineers and data scientists in India, based on experience level:
| Experience Level | AI Engineer | Data Scientist |
| Less than 1 year | ₹7 lakhs | ₹6 lakhs |
| 1-3 years | ₹8 lakhs | ₹7 lakhs |
| 4-6 years | ₹9 lakhs | ₹8 lakhs |
| 7-10 years | ₹10 lakhs | ₹9 lakhs |
| 10+ years | ₹12 lakhs | ₹11 lakhs |
Conclusion
In this blog we conclude that –
- Both data science and Artificial Intelligence field has booming career today
- Artificial Intelligence is the right field for you if you like mathematics and Algorithms.
- If you are interested in statistics, analyzing and extracting data then you should go for data science.
- Ultimately, choose a field based on what you’re interested in and what you like.
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FAQ’s
What is the scope of artificial intelligence and data science?
Both Artificial Intelligence (AI) and Data Science have the best scopes in today’s job market.
AI is used in various industries, from healthcare to finance, while Data Science is very important for extracting insights and making decisions based on data.
Which degree is best for a data scientist?
- Bachelor in Computer Science
- Bachelor in IT (Information Technology)
- MSC in Computer Science
- MSC in Statistics
- MSC in IT (Information Technology)
Who is eligible for the Artificial Intelligence course?
There is no eligibility criteria for Technogeeks Artificial Intelligence course in Pune but background in computer science, engineering, or a related field is more beneficial.
Which Institute is best for learning Data Science and Artificial Intelligence?
Technogeeks is the best place to learn Data Science and Artificial Intelligence. These courses are designed by working professionals so get knowledge as per current market demand. After completing the course you will go through Multiple mock interviews, CV Preparation, Hands-on projects.
