IIT Madras and NPTEL teaming up to provide Python for Data Science in Tamil is a step toward a higher level of raising the standards of data science education availability. This course is the one that develops the fundamentals of Python programming to address data science issues. Its target group is students, professionals, and everyone who wishes to ameliorate their data science ability.
The online course titled "Python for Data Science" on the Swayam Nptel platform offered by IIM Madras is an extensive four-week training program whose main aim is to sharpen the participants' Python programming skills and enable them to apply those skills efficiently in the domain of data science. Helmed by Professor Ragunathan Rangaswami, a highly experienced faculty member at IIT Madras with a long association in academics, this course provides you with technical knacks as well as in-depth experience in using Python for data analysis and problem-solving.
The program curriculum is carefully designed in such a way as to incorporate core areas of Python which are specifically vital to data science. Participants will go through topics including basic IO, file manipulation, string manipulation, formatting of output, and () the advanced stuff such as back-tracking, search trees, class, and objects, as well as matrix multiplication. Upon course completion, learners will be able to grasp the role of Python in data science perfectly and implement the code in different data science tasks, especially in a data analysis context.
The students will be awarded a certificate when they pass the whole course. Also, they will be paid a nominal amount after the final test. The that we are informing you will make learners confident that they have perfectly memorized the hit of the course and they have mastered the skill of data science using Python. This leaves entry to the field of data science through a certification body that is recognized and can be displayed with pride with a logo of NPTEL and IIT Madras. Such an accreditation will not only serve the participant's skill and knowledge in the Python program for data science but can also be instrumental in this modern field (data science) that is with many booms. One of the industries that are very dependent on data
Enrolling in the Python course for intro fights to get yourself a seat is simple; participants need to a sign-in page and proceed to register before a deadline is specified. The course is designed in such a way that it does not create any difficulty for anyone regardless of their academic background in Machine Learning algorithms and Python Programming. This way, they can practice what they know already which aids them in becoming data analysts and problem solvers. Through the deployment of features such as SWAYAM, Facebook, Google, and Microsoft accounts for enrollment, an interested individual has a convenient piercing procedure.
This course offers an opportunity for Tamil speakers to learn data science in their familiar tongue, while also offering new prospects for those enthusiasts who never taught in this language. Through quality education in the local language, IIT and NPTEL are not only promoting inclusiveness but also helping learners with different backgrounds from different regions to get into data science professions. The course combines hands-on training and theory to ensure students learn how to apply their new skills to address practical problems faced in their job and get ready for a career path in this rapidly evolving field.
Eventually, the course on Python for Data Science prepared by NPTEL IIT Madras in Tamil is a remarkable development to cut the data science education digital divide and to develop the skill of Python programming among data learners to analyze the data. This course had the opportunity to set the standard by using the rich experience base and wide scope of online platforms taken by top engineers, and it is currently in the process of distributing itself among the most desired ones in the data science perimeter, thereby, creating a new team of competent specialists able to operate with Python and data science tools.
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