Data science and artificial intelligence (AI), are terms almost everyone has heard!
Do they deal with data? Yes! Are they useful? Undoubtedly! But are they the same? No.
Both are unique in various aspects.
As someone looking to enter the tech world and searching for a data scientist course in Pune or an artificial intelligence course in Pune, you must know what makes both different.
So, why wait and lengthen the introduction? Let’s get to the topic!
What is Data Science?
A subset of AI, data science involves collecting data and analyzing it. It uses various scientific methods, algorithms, processes, and insights from structured and unstructured data. Essentially, data science is about exploring answers to complex questions with data.
Hence, it is widely used across businesses, governments, etc., where transforming raw information into useful insights is crucial.
Data scientists play a core role in data science. They work like detectives, sifting through clues to uncover patterns, valuable information, and trends by using mathematics, statistics, and programming to perform data-related processes, including;
- Collection: Gathering large amounts of data from multiple sources
- Cleaning and Preparing: Ensuring data accuracy, completeness, and formatting
- Exploratory Data Analysis: Analyzing data to understand its patterns and properties
- Building Predictive Models: Extracting insights with statistical and ML techniques
- Communicate Findings: Presenting observations and insights clearly
For example, data science can help restaurant owners analyze which dishes are sold the most during monsoons in Pune. Data scientists can then build a model to predict its demand, enabling the owner to make an informed decision about their inventory.
What is Artificial Intelligence?
The talk of the town, the hero and so much more, AI is the hottest technology right now! It is evolving and improving to become more powerful with every passing second. But what is it? Let’s see with the help of an example.
AI is a broader domain that intends to create machines that can perform tasks that conventionally require human intelligence. You can think of it as building systems that can learn, reason, resolve problems, and make informed decisions – as much as a human.
An example of AI is voice assistants like Alexa, which are AI-driven and respond to voice commands to deliver the desired outcome.
Some key components of AI include;
- Machine Learning (ML): These are algorithms that enable systems to learn from data and keep improving with every interaction and experience.
- Natural Language Processing (NLP): It involves enabling machines to comprehend and respond to human language.
- Deep Learning: Deep learning is a subset of ML that uses neural networks with several layers to process complex data.
- Computer Vision: This is a capability that allows machines to interpret and make decisions, depending on visual inputs and insights.
Now that you have a basic understanding of data science and AI, let’s look at the differences that make them unique.
Data Science vs Artificial Intelligence – Key Differences
Here are the different areas in which data science and AI are different.
|
Aspect |
Data Science |
Artificial Intelligence |
| Basic Concept | It primarily involves pre-processing, analysis, visualization and prediction. | AI is a broad term used for machine-based applications that replicate human intelligence. |
| Primary Objective | Deriving insights from data. | Create intelligence systems to perform tasks otherwise performed by humans. |
| Data Types | Data science deals with different types of data, including unstructured, semi-structured, and structured. | AI involves using standardized data like embeddings and vectors. |
| Key Techniques Involved | Data visualization, statistics, data mining and machine learning, binary classification, anomaly detection, linear regression, logistic regression and more. | Deep learning, facial recognition, reinforcement learning, natural language processing, knowledge graphs, generative AI machine learning, robotics, computer vision, etc. |
| Tools | Data science uses many more tools than AI as data science involves numerous procedures to analyze data and derive insights from it. | AI doesn’t use as many tools as data science. |
| What is Used? | Data science uses graphical representation. | AI uses algorithms and network more representation. |
| Essential Skills | Mathematics, data visualization, extensive domain knowledge and statistics | Algorithms, computer science, exclusive AI domains, and machine learning |
| Applications | Data science has applications in multiple domains, including predictive modeling, business intelligence, process optimization, data-driven decision support, etc. | Virtual assistance, autonomous vehicles, facial recognition, intelligent robots, content generation, robotics, automation, etc. |
Data Science and Artificial Intelligence – Similarities
AI and data science aren’t different in every aspect. They have some similarities as well.
- Both fields are data-driven
- Both use ML to analyze data and build predictive or intelligent models
- Both integrate knowledge from various disciplines
- Both use programming languages R and Python
- Both intend to solve business problems
Prepare to Fulfill Your Data Science and AI Career Aspirations with Ethan’s Tech!
We hope the above cleared the differences between AI and data science.
And yes, similarities as well. However, did we forget to mention another similarity? The one associated with careers! Yes. Be it data science or AI, both are great careers, given the increasing importance of data, solving problems accurately and quicker decision-making.
However, how do you enter these domains? The answer is Ethan’s Tech.
We offer a comprehensive artificial intelligence course in Pune and data science classes in Pune that help you transform into a learned and prepared professional. Our courses help you learn the various techniques of data science and AI, develop a practical understanding, work on various challenging real-world projects, and transform yourself into a learned and prepared professional.
Moreover, our faculty members enhance the learning process by sharing their experiences, training you extensively on different concepts, and conducting abundant practical sessions.
Besides, we offer 100% placement assistance to help give you a start to your career.
Want to know more about our courses? Call us at +91 95133 92223.
