What is DATA SCIENCE & AI course? 

Data science is a method for locating important information in data by utilizing computers, mathematics, and knowledge of other subjects. That data could be unstructured (like text or pictures) or structured (like spreadsheets). To help us make wise decisions, forecast future events, and identify patterns or trends, data science helps us collect, organize, analyze, and understand large amounts of data.

Data science uses instruments like:

• Analyzing and visualizing data involves interpreting it using summaries, charts, and graphs to gain a deeper understanding.

• Machine learning is the process of developing intelligent computer programs that have the capacity to learn and get better over time.

• Coding to work with data and run computer programs is known as programming.

• Domain Knowledge, Applying what you understand about a domain such as business, healthcare, or finance to tackle actual problems using data.

• Data Science is highly relevant today because it enables businesses and organizations to make fact-based and evidence-driven decisions. It is also related to Machine Learning and Artificial Intelligence, making it an immensely practical skill to possess.

• Artificial Intelligence (AI) is when computers are programmed to act humanly. They can think, learn, and decide, just like humans. AI enables machines to do things such as recognize speech, identify pictures, solve problems, and make decisions.

There are various types of AI:

• Narrow AI: This is designed to only perform one task, such as Siri or Google Assistant. It can take voice commands but can't perform all tasks a human would.

• General AI: This is something that's dreamed up for the future. It would be an AI capable of doing anything a human could do.

• Super intelligent AI: This is a hypothesis regarding AI which would be even more intelligent than human beings in all aspects. It isn't there yet.

AI finds applications in a lot of fields such as medicine, schools, banks, and even in autonomous cars

What you will learn in this course:

• How to collect and organize different kinds of data

• How to apply data science to real-world problems in areas like business, healthcare, and marketing

• What AI is – how we make computers think and behave like humans.

• Real-world applications of AI – such as voice assistants (Siri, Alexa), autonomous vehicles, game bots, and others.How

• Machine Learning works – how computers learn from data and get better by themselves.

• Machine Learning types – such as supervised, unsupervised, and reinforcement learning.

• How computers recognize images, speech, and patterns – and how they apply it to make decisions.

Eligibility:

• Educational Qualification:
  A bachelor's degree (Science, Engineering, Commerce, or Arts). Final-year students may also apply.

• Mathematical Aptitude:
  Basic understanding of high school-level mathematics (algebra, probability, and statistics) is recommended.

• Computer Literacy:
  Proficiency in basic computer operations and internet usage is expected.

• Language Proficiency:
  Ability to read, write, and understand English, as the course materials and instruction will be delivered in English.

Ideal for:

• Fresh graduates aiming to start a career in data or AI

• Working professionals seeking a career transition

• Entrepreneurs and business managers looking to implement AI solutions

• Tech enthusiasts eager to explore the field of intelligent systems

Why Should You Take This Course?

• Data Science and AI are the way of the future — learning them early is a big help!

• You'll be able to solve problems in a fun and creative manner

• You'll create awesome projects and learn how smart machines think

• It's a fantastic first step if you want to learn computers, tech, or science.