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I was the former student of the course. Prof. Chandrasekhar Ramanathan and Prof. G Srinivasaraghavan will teach R programming and Machine Learning topics, respectively. Both of them were named to Analytics India Magazine’s list of the top twenty most influential Data Science scholars.
As a result, you do not need to be concerned about the program’s instructional quality. They’re fantastic guys, so go for it. It’s well worth the money.
According to me Data science is not easy, and people sometimes have unrealistic expectations of the courses/classes they participate in. Be wary of persons who promise you that you will grasp data sciences in 3–4 months. Full of nonsense, in my opinion, because a subject like data science can never be learned in 3–4 months.
The foundation for data science will take 3–4 months to lay. Tools, data visualization, hands-on experience with libraries like NumPy and pandas, understanding the math behind the statistical analysis, hypothesis testing, and so on. Each component of a module will take 5–10 hours to complete, depending on the topic, and the deadline will be the following weekend.
Consider devoting 5–10 hours per week to either lectures or assignments for the duration of a year. Some of the instructors are world-class. Not all of them, but major topics are covered by competent faculty, and industrial applicability is supplied as optional material.
To give real-time relevance, industrial modules will be covered by people who work in the industry. if you have that level of commitment and capacity, go for it; if not, try other short-term courses.
If you ask me Upgrad is a well-known e-learning platform that offers enticing and rewarding courses for those seeking a prosperous and healthy job in some of the most difficult fields. The UpGrad team has compiled a list of the top online courses to assist anyone looking to learn and advance in their career.
You may be aware that UpGrad offers courses in a variety of areas, ranging from data science to law. Upgrad offers some of the greatest courses in data science, AI, machine learning, software development, and other fields, and their programs are designed to benefit both newcomers and experienced professionals.
Several eligibility requirements must be met to enroll in their courses. Professionals may not be required to have prior coding expertise or experience in a certain industry. You could be a student or recent graduate with a strong interest in a subject and a desire to learn more about it.
Alternatively, you could be a seasoned professional who wishes to pursue a degree due to a strong interest in the subject or a growing need for a specific role.
We all know that data science is an exceptionally complicated and vast course. Moreover, if you don’t get the perfect guidance, you can face obstacles in making your career as a data scientist. I just have completed the Executive Post graduate program in Data Science from UpGrad.
UpGrad provides the best training and guidance in transforming you into a data scientist but there is a drawback and i.e. UpGrad does not give a job placement guarantee. According to me if you are investing your time and money into learning a skill then you at least want to get a placement in a well-known firm after completing your course.
However, there is no guarantee that UpGrad will give you a reasonable package job. Also, if you are a working professional, then UpGrad is not a platform for you. This is because UpGrad does not provide a flexible schedule for its candidates. So, it’s a bit tough for the working professional to attend their classes. The Upgrad Data Science Courses are not budget friendly if you compare them with other e-learning platforms like Udacity, Simplilearn, DataTrained, etc. According to me, the data science courses at UpGrad are a bit expensive. UpGrad provides multiple courses in different fields from full-time MBA to management courses. They are not limiting practical experience in one specific field which is a disadvantage as domain specialization presents a significant part in today’s era.
So, I would suggest that before applying for any institution just go through their reviews once and get registered with an institution that provides both job guarantee placement and advanced level skills as I faced many problems in getting a good job placement after having quality knowledge in data science.