How graduates in the Humanities, Arts, and Commerce can master AI/ML using Online Internship

Can a student ?studying science, business, or the arts understand artificial intelligence, machine learning, and data science with an online internship? Do they possess the prerequisite knowledge? Can a data science curriculum be developed that fits their requirements and makes them successful?

Before diving into the world of IT online internship, it’s crucial to understand the landscape. Many IT firms today are looking for diverse skill sets beyond traditional coding. Skills such as project management, communication, and problem-solving are highly valued. Recognizing and showcasing your unique strengths, even if they aren’t purely technical, will set you apart.

So without a doubt, the answer is yes. If one is willing to put in the time and effort, anyone from practically any background can master not only data science but also programming and application development concepts that add significant value to a data science degree. You can learn all three by enrolling in JhaMobi Technologies Private Limited's JOIP program an online internship platform .

Data science and artificial intelligence

Foundational ideas in computer science, statistics, and mathematics form the basis of data science and artificial intelligence. Among the foundational courses that must be taught are calculus, probability, linear algebra, discrete mathematics, statistics, estimation, inference, computational thinking, and Python programming.

Mathematics and computer science

Mathematics and computer science are taught in the 11th and 12th grades curriculum. Others can begin learning these topics at an introductory level even after they have completed their formal schooling. Within the program's first year, these topics can be introduced from elementary concepts and gradually developed to the college level using a well-constructed foundational course set.

All JOIP requires is a background in mathematics from Class 10. Students can learn the fundamental skills needed to become data scientists and application programmers after they have mastered the foundations. This calls for more data science expertise in the areas of optimisation, probabilistic modeling, and linear algebra.

Application development

Application development requires knowledge of data structures and algorithms (DSA) and databases. With this knowledge, students can begin constructing live projects/applications by joining JOIP for Python programming.