Course Comparison> Upgrad Vs Hero Vired > Year – 2024
Data Science Course Comparison
In today’s digital age, institutions are offering extensive training in tech fields to prepare students for their dream careers. However, evaluating a company’s training quality, mentors, fees, placements, and other factors can be challenging.
To simplify this decision, we’ve curated a comparison between two ed-tech companies: Upgrad and Hero Vired. This comparison covers all essential aspects to consider before enrolling in any course.
Let’s explore these critical parameters together to help you make an informed choice for your future.
Founders – The founders of the company create the base of the organization. They set the policies, rules, values, and ethics of the organization that need to be followed by the whole organization. These factors not only influence the working of the organization but also guide their customers/students in becoming successful in their respective careers.
Founders
Ronnie Screwvala, Mayank Kumar, and Phalgun Kompalli
Akshay Munjal
Course Duration – A student who wants to pursue a career in data science needs at least 10-12 months to learn everything from zero to become a professional in data science. We have selected the courses from Upgrad and Hero Vired both that are beginner-friendly and guide the students towards their dream job in a specific duration of months.
Course Duration
12 Months
11 Months
Mode of Training – The mode of learning depends upon the students as per their convenience. They should have the option to choose from offline classroom learning, virtual live sessions, or self-paced learning. It is better to check the mode of training before choosing any learning platform. Upgrad and Hero Vired both offer online live training by mentors.
Mode of Training
Online/Live
Online/Live
Program Fee – The Program fee of different organizations is based upon the additional facilities they are offering, such as placement guarantee, query resolution support, course duration, course curriculum, and many more. These factors are important to be considered by the organization before finalizing the fee for students. There should be EMI Options available for students so that they can easily afford their studies without financially burdening their parents.
Data Science Course Fee
₹4,48,000
₹4,25,000 + GST
Course Curriculum – It is an important aspect that assists in decision-making. To choose a course, first know your goals. Look at the topics to see if they interest you, check if the lessons make sense, and see if they include helpful resources. Make sure there’s support from teachers or tutors, and read reviews from past students. Pick a course that fits your interests, offers both theory and practice and has good reviews to meet your education and career goals.
Data Science Course Curriculum
- Data Toolkit
- Machine Learning
- Business Intelligence/ Data Analytics
- Deep Learning
- Data Engineering
- Natural Language Processing
- Business Analytics
- Python Programming
- Data analysis with Python
- ML Mathematics
- Predictive Modeling and ML
- Machine Learning with Python-From Linear Models to Deep Learning
- Statistics Basics
- Foundations of Statistics
- Deep Learning
Query Resolution – Efficient query resolution in a learning platform enhances learning quality by providing timely, clear responses to students’ questions or difficulties. This enhances active engagement, builds trust, and maintains motivation. Support can be provided through FAQs, forums, live chats, or direct contact with instructors. Thus, it is a crucial aspect of any successful learning platform.
Query Resolution
Support available all days for 24 hours
Discussion Forums and Community
Student-Faculty Ratio – Before enrollment, always ask about the number of students in your batch. It might create issues if there is a large group of students. Some students might not feel comfortable in asking their doubts in the class or sometimes, a single mentor is not able to deal with so many students in a single huge batch. So, it is better to check student-faculty ratio.
Student Faculty Ratio
Small Batches
Small Batches
Industry Projects – Industry projects offer students hands-on experience, crucial skill development, industry exposure, portfolio building, and networking possibilities. They enable the connection between academic knowledge and practical application, allowing students to use theoretical knowledge in real-life situations, establish a solid portfolio, and connect with experts and corporations, which may lead to internships or career prospects.
Industry Projects
60+ Projects and 60+ Case Studies
- IMDb Movie Analysis
- Uber Supply-Demand Gap
- Lead Scoring
- Fraud Detection
- Social Media Listening Telecom Churn Interactive Market
- Campaign Analysis
- Retail Giant Sales
- Forecasting
Industry Simulation Projects & Case Studies
Capstone Projects – A capstone project is a comprehensive, final project students complete at the end of a course or program, allowing them to apply their knowledge in a real-world setting, develop essential skills, improve problem-solving abilities, and provide a valuable portfolio item for employers, enhancing their confidence and future employment prospects.
Capstone Project
No Capstone Project
No Capstone Project
Internship – An internship is a temporary work experience in which students or recent graduates learn practical skills in a real-world situation. It allows students to learn about a particular industry, enhance their resume, and make professional connections.
Internship
No Internship
No Internship
Final Placements – Always check the genuine reviews of the placements before enrolling in any course. It should be clear to the organization about the placement support or guarantee they are offering. Read alumni reviews that whether their placement offerings are real or not. Questions like what is included in the placement assistance or placement guarantee are important.
Final Placements
360 Degree Career Support
Placement Support (Career Assistance and Workshops)
Analytics Jobs Reviews – To know more about the genuine reviews and ratings of different institutes, check out India’s first and only Questions and Answers format discussion forum Analytics Jobs.
Analytics Jobs Reviews
Considering all these factors, we have curated a comparison summary to conclude your decision-making process.
Comparison Summary ( Upgrad Vs Hero Vired )
Founders
Ronnie Screwvala, Mayank Kumar, and Phalgun Kompalli
Akshay Munjal
Course Duration
12 Months
11 Months
Mode of Training
Online/Live
Online/Live
Data Science Course Fee
₹4,48,000
₹4,25,000 + GST
Data Science Course Curriculum
- Data Toolkit
- Machine Learning
- Business Intelligence/ Data Analytics
- Deep Learning
- Data Engineering
- Natural Language Processing
- Business Analytics
- Python Programming
- Data analysis with Python
- ML Mathematics
- Predictive Modeling and ML
- Machine Learning with Python-From Linear Models to Deep Learning
- Statistics Basics
- Foundations of Statistics
- Deep Learning
Query Resolution
Support available all days for 24 hours
Discussion Forums and Community
Student Faculty Ratio
Small Batches
Small Batches
Industry Projects
60+ Projects and 60+ Case Studies
- IMDb Movie Analysis
- Uber Supply-Demand Gap
- Lead Scoring
- Fraud Detection
- Social Media Listening Telecom Churn Interactive Market
- Campaign Analysis
- Retail Giant Sales
- Forecasting
Industry Simulation Projects & Case Studies
Capstone Project
No Capstone Project
No Capstone Project
Internship
No Internship
No Internship
Final Placements
360 Degree Career Support
Placement Support (Career Assistance and Workshops)
Analytics Jobs Reviews
Other comparisons
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Still Undecided?
Data science is a multidisciplinary field that combines computer science and math. The objective of data science is to pull insightful and useful knowledge out of datasets to make smart business decisions. The average salary of a data scientist is $80,265.
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