Data Science Course Comparison: Intellipaat Vs Edureka

Course Comparison > Intellipaat Vs Edureka > Year – 2024

Data Science Course Comparison

In India, the education landscape offers numerous opportunities tailored to diverse interests and schedules, especially in tech-related fields crucial for thriving in today’s digital era.

Intellipaat and Edureka are two rising stars in this field, offering industry-relevant training and promising placement support. Choosing between them can be daunting, but we are here for you.

We’ve analyzed the Intellipaat data science course in collaboration with IIT vs. the Edureka data science course across key factors to simplify your decision-making process. Let us examine these key factors and make the right decision.

Founders – Founders are important to learning platforms because they promote innovation and a growth mindset. They encourage a culture of constant development, encouraging employees to keep up with industry changes. This allows startups to adjust to changing conditions and remain competitive.

Founders

Course Duration – Enroll in a course with a good duration. The duration of at least 4 months is perfect to make a novice, a professional data scientist. If you choose any short-term course, it will not be much beneficial in terms of getting a job.

Course Duration

Mode of Training – Institutions offer different types of modes of training that a student can choose from. Offline classroom training, virtual sessions by mentors, or self-paced learning videos are all the modes of training offered by an institute.

Mode of Training

Program Fee – Program fee depends upon various aspects of course duration, curriculum, mode of training, and many more. It is important for an institute to provide options for EMI Payments to the students so that they do not feel any financial burden.

Data Science Course Fee

Course Curriculum – Intellipaat and Edureka both have a detailed curriculum designed by industry experts. The curriculum is crucial for a data science class or program, ensuring it is comprehensive and includes both fundamental principles and complex approaches. It should be based on tools, live sessions, pre-recorded content, industry projects, and capstone projects. It is essential to examine the course curriculum to ensure it meets the skills needed for a specific data science profession.

Data Science Course Curriculum

Query Resolution – Query Resolution means the support a student needs from the organization’s additional benefits. It includes support or issues regarding mentors, LMS, placement, fees, or anything related to the organization or course they opted for. The organization should ensure a smooth query resolution process for students.

Query Resolution

Student-Faculty Ratio – The organization should ensure that there should be small batches with less number of students. Before enrolling in any course, the student should ask for the student-faculty ratio so that the student do not face any problem in asking the doubts during the class.

Student-Faculty Ratio

Industry Projects – The course materials should include numerous industrial projects, which are practical applications of academic knowledge in real-world corporate environments. In data science, an exclusive data set for a specific business or industrial challenge is crucial. Ensure the course includes a large number of real-world industry data sets for industrial projects.

Industry Projects

200 Hours Projects & Exercises

Industry Projects included

Capstone Projects – An ideal Capstone Project aims to address specific problems within the organization and provide strategic and operational advice. Teams design web-based apps to address these issues. The project teaches students data collection and analysis for real-world problem-solving. Job interview questions will primarily focus on the Capstone Project for new data science students.

Capstone Project

Internship – An internship is a brief, employment opportunity provided by an organization to students to allow them to apply their academic knowledge and explore career options. It would be helpful if the learning platform provided internship chances to students.

Internship

Final Placements – Placements are important for students as it provides a guidance to the students to start their journey of job. Sometimes, the students even get placements surety by the learning platform.

Final Placements

Analytics Jobs Reviews – Check the courses and learning platforms reviews on Analytics Jobs to find the right learning platform.

Analytics Jobs Reviews

For summing up everything, here is the comparison table that covers all the important factors of Intellipaat data science course and Edureka data science course.

Comparison Summary (Intellipaat Vs Edureka)

Founders

Course Duration

Mode of Training

Data Science Course Fee

Data Science Course Curriculum

Query Resolution

Student-Faculty Ratio

Industry Projects

200 Hours Projects & Exercises

Industry Projects included

Capstone Project

Internship

Final Placements

Analytics Jobs Reviews

Other comparisons

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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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