How tough is Coursera Data Science specialization?
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How tough is Coursera Data Science specialization?
The coursera data science course was very tough for me as I did not had any knowledge of its subjects. Some of my friends did this course so I thought I should also join this course. I had PCM in 12th so I thought I might be able to grasp data science concepts but I was wrong. coding, programming, machine learning, AI all of it went over my head. So yeah it was not for me and maybe not for some others like me too who donot like coding.
A Coursera data science Specialization is a collection of courses that will help you master a specific skill. To begin, enroll in the Specialization directly or review its courses and select the one you want to start with. When you enroll in a course that is part of a Specialization, you are automatically registered in the entire Specialization.
It totally depends on your grasping capabilities and understanding. If you have basic knowledge of some of the topics beforehand it would be beneficial for you. Major topics that are included in the data science course are maths, stats, machine learning, artificial intelligence, etc. So, it’s important that you have some fundamental skills in these areas.
This course will prepare you how to clean, analyze, and visualize data using R. From data acquisition to publication, navigate the entire data science pipeline. To manage data science projects, use GitHub. Using regression models, perform regression analysis, least squares, and inference. So it’s better you have some knowledge of these topics.
Coursera data science courses are not tough at all. They teach everything from scratch. Their trainers and coaches are highly skilled, and their teaching methods are easy and simple to understand. Coursera is a reputed organization, and it has tie-ups with multiple partner universities.
After completing their course, I found it to be quite interesting and useful. it appears to be a brief course that covers specialized subject principles. While I provide you with more knowledge, I recommend that you look at Coursera Data Science course contents.
The data science domain in itself is preety challenging and it also depends on the candidate the amount of time and effert he is ninvesting into thaat course provided by the Coursera. I reccommend this course to all the data science enthusiasts. You can just go for this course and must put atleast 4 houts of daily practice.
The Data Science Specialization Course on Coursera is a ten-course introduction to data science developed and delivered by John Hopkins University faculty. This specialized track offers all a student needs to know about data science. You can enroll in classes for free or for a fee. Several premium courses are available for free, but if you choose the “free” option, you will miss out on many of the course’s features.
To Excel in the domain of data science this course is one of the best choice and this will help you to develop strong foundation in the field of data science. This course cover the major and main topics. For me its a !0/10. Just go or it.
Coursera is an ideal spot for courses that can offer you with knowledge in almost any topic. Coursera is popular among students since it offers free registration and is connected with top institutions. Domain specialization comes into the picture because they aren’t for everyone. To learn the abilities of a particular sector, you must first choose a sector and work within it.
Because as much as I know Coursera does not offer domain specialisation It can only provide you course that will enhance your knowledge, I believe the courses are not enough its your effort too.