Data Science is considered the hottest job of this decade and is also predicted to take over the world of IT and future employees or working professionals from this domain are likely to get the maximum offers both in terms of opportunities and packages. That being said, have you ever wondered and thought about taking up the right way or structured program to learn this skill so that you would be a future leader in the town?
So we are here for upGrad Master of Science In Data Science Course Review 2024 today, we’ll speak about everything about the course and try to understand whether or not to consider this program! Especially this course is a bit unique for missing on campus experience with an online mode of learning.
upGrad is one of India’s leading ed-tech platforms which has millions of students enrolled in various domains and also across 50 countries. It is highly reputed and also provides its students with 24/7 support and placement opportunities with its job portal.
It offers its extensions of domains right from AI & ML to Law and also is legit because it has collaborated with many top colleges in India and around the world. It aims for its students to get maximum benefit and also it is not just for beginners alone, anyone interested even in career transition also can grab the opportunities.
The above image gives you a few understanding about the course. Now the most important point of all we would like to tell is that this course is backed by experts from LJMU and IIITB in the form of instructors and also is a blended mode of learning.
Now let us go even more in-depth for a better understanding
Students who need not take the exam-
Course/Specialisation | Duration | Topics Covered |
---|---|---|
Course 1: Data Toolkit | 13 Weeks | Programming in Python Introduction to Python |
Course 2: Machine Learning – I | 10 Weeks | Linear Regression – I Linear Regression – II + Gradient Descent for SLR |
Specialisation – Data Analytics | 29 Weeks | Data Modelling Advanced SQL Programming |
Specialisation – Business Analytics | 29 Weeks | Bagging & Random Forest Model Selection – I |
Specialisation – Natural Language Processing | 22 Weeks | Bagging & Random Forest Model Selection – I |
Specialisation- Deep Learning | 29 Weeks | Bagging & Random Forest Boosting |
Download the whole syllabus here
Now the course fee is of two types based on the variation it offers!
If you want it all online for learning:
For people who want a mixture of both on-campus experience and online
For further clarification and fee concession, you can contact
Let us come to the main section of the upGrad Master of Science In Data Science Course Review looking through both the sides
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