Data science is the field of finding out about that involves the extraction, analysis, and interpretation of data to find insights and support decision-making. It involves a combination of statistics, mathematics, computer science, and domain expertise to perceive patterns and trends in data, and then use that records to inform commercial enterprise decisions, force innovation, and resolve complicated problems. Artificial intelligence or brain (AI), on the other hand, is the field of study that focuses on designing intelligent models that can perform tasks like human intelligence, such as speech detection models, understanding natural language, making predictions using data, and figuring out patterns in data. It includes growing algorithms and laptop packages that can analyze data, make decisions, and enhance over time. Data science and AI are closely related, as AI depends on the processing and analysis of large amounts of facts to analyze and make decisions.

Data science and artificial intelligence (AI) are two rapidly growing and highly influential fields that are revolutionizing industries and society as a whole. But what exactly are these fields and how do they relate to one another? Data science is a interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It involves a combination of statistical and computational techniques, as well as domain expertise and business acumen, to uncover patterns, trends, and relationships within data sets. Artificial intelligence, on the other hand, is the development of intelligent machines that can think and act like humans.

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With artificial intelligence and analytics being the talk of the hour, there cannot be a better time to get started with these technologies. COVID pandemic outbreak has further increased the demand for data scientists thus learning data science skills, in the current situation, can present high employment chances. Till now, the field of data science and AI has been a preferred choice for postgraduate programs; however, the increasing demand for data professionals is making it imperative for students to start early. And that's where an undergraduate AI and data science course can help. Now that the results for Class XII board exams are out, this could be the perfect chance for the pass out students to build a career in the most demanding profession of the world.

Python removed two fake libraries from Python Package Index (PyPI) after a German developer, Lukas Martini, reported about the packages stealing critical information. Python was released almost three decades ago, but it was only embraced in the last few years due to the increase in artificial intelligence and data science-based third-party libraries. However, these very libraries can become the prime reason for Python's downfall. This is the third time Python org witnessed infiltration and extracting information -- the other three occurred in July 2019, October 2018, and September 2017. Typosquatting – a form of cybersquatting technique that takes advantage typos made by users to hack into information – was used for deceiving and getting access to sensitive data. The idea behind such a technique is to register a look-alike name for the genuine package name, so that when a developer makes a typo he/she might import the phoney library instead of the desired one.