Great Learning Vs Simplilearn - Data Science Course Comparison

Course Comparison> Great Learning vs Simplilearn > Year – 2024

Data Science Course Comparison

When you are looking for the best data science course from the option available on different ed-tech platforms can be quite tough task. As in looking for course reviews, student-faculty ratio, fee and placements. We are here to help you choose the best data science course.

Let’s look into the data science course comparison between Great Learning PG Program in Artificial Intelligence & Machine Learning and Simplilearn Professional Certificate Program In Business Analytics & Generative AI. When we are looking into the data science course comparison there are 4-5 points that should be kept in mind.

Course Content

Faculty and Support

Reputation and Placements

Founders

Founders and Promoters, with their goodwill, help every organization succeed. As a result, this goodwill assures trust among the learners when it comes to selecting the course. Everyone knows about the Great Learning data science course, as well as the Simplilearn data science course. This trust and compatibility with the learner have been developed via ongoing efforts and modifications.

Founders

Course Duration

The Great Learning data science course, also known as the PG Program in Artificial Intelligence & Machine Learning, normally lasts 12 months. It blends online and in-person instruction to provide a thorough knowledge of data science ideas and practical applications.

The Simplilearn data science course, also known as the Professional Certificate Program In Business Analytics & Generative AI, typically lasts 6 to 11 months, depending on the selected learning route and the learner’s pace. It provides a flexible schedule that includes self-paced study, live online seminars, and hands-on projects to ensure real data science abilities.

Course Duration

Mode of Training

With the advancement of contemporary learning methodologies, learners began to actively shift toward hybrid learning approaches in order to meet their employment requirements outside of skill building programs. Approximately 1% of students attend these data science seminars with the purpose of learning something, while the remaining 99% do so to progress their professions and increase their skill sets. Analytics Jobs has selected a data science course that can be completed both online and offline, taking this information into mind. Someone who works as a professional must balance their job and learning hours. The essential premise is that the data science education should be available at all times and from any location. As we studied Great Learning vs Simplilearn: Data Science Course Comparison, both institutes provide online and offline sessions, as well as live sessions if necessary.

Mode of Training

Program Fee

The student who applies for skill development is either a new graduate or a working professional who is investing their hard-earned money and expects it to be returned at the rate of investment. And we at Analytics Jobs chose this Great Learning PG Program in Artificial Intelligence & Machine Learning course or Simplilearn Professional Certificate Program In Business Analytics & Generative AI course comparison to help you understand why you should invest your money in a platform that may provide you with a high return in terms of job progress.

Data Science Course Fee

Course Curriculum

The Great Learning and Simplilearn data science courses include fundamentals, programming languages, data management, machine learning, advanced subjects, business applications, and tools such as Tableau, Excel, and TensorFlow. The Great Learning course teaches data science fundamentals, computer languages, data manipulation, machine learning techniques, artificial intelligence, natural language processing, big data visualization, and capstone projects. Both courses aim to give a thorough grasp of data science ideas, as well as hands-on experience with industry-relevant tools and technologies

Data Science Course Curriculum

Python for AI & ML Applied Statistics
Python Bootcamp for Non-Programmers
PG Certificate from UT Austin and Great Lakes
Capstone Project Career Assistance: Resume building and Mock interviews
Reinforcement Learning Self-paced Module: Recommendation Systems
Model Deployment Visualization using Tensor board GANs (Generative Adversarial Networks)
Time Series Forecasting Pre Work for Deep Learning
Self-paced Module: ChatGPT: The Development Stack Additional Modules

Business Analytics with Excel
Database Management Using SQL
Extract, Transform and Load (ETL)
Tableau for Business Intelligence
Fundamentals of Python Programming
Business Analytics With Python
Data Analysis and Visualization With
Python by IBM
Essentials of Generative AI, Prompt
Engineering & ChatGPT
Applications of Generative AI in Data
Applications of Generative AI in Data
Data Storytelling using Power BI

Query Resolution

When a professional is working on a certain project and has to settle a question that arises throughout while taking data science course, it is critical that they have a query system. As a result, the only option may be on-time inquiry resolution with a focus on mentorship, even for abroad applicants attending the course. One should understand the technicalities of their institution. For ed-tech students, inquiry resolution is critical since it has a significant influence on their comprehension and recollection of the material. Precise replies eliminate uncertainty, reinforce knowledge, prevent misunderstandings, encourage engagement, ensure continuous development, boost self-confidence, and improve academic accomplishment. Effective question resolution provides a pleasant learning environment by encouraging participation and asking for help when needed. Great Learning query resolution or Simplilearn query resolution ensure the 24/7 to get help for any issue.

Query Resolution

Student-Faculty Ratio

Great Learning and Simplilearn both provide data science course with student-to-faculty ratios of 15:1 and 20:1, respectively, assuring customized attention and efficient learning. Great Learning data science course strategy includes interactive sessions, individualized feedback, and assistance, whereas Simplilearn data science course emphasizes a supportive atmosphere with interactive live lessons and personalized advice.

When choosing a data course, make sure to question your counselor about the following in detail:

Total number of learners in your batch.
Student-faculty ratio
Can you switch on your mic during a live class or session?

Student Faculty Ratio

Industry Projects

Great Learning and Simplilearn offer data science courses that provide hands-on experience in various industries. Great Learning data science course covers banking, healthcare, e-commerce, and retail, focusing on data analysis, machine learning models, and business problem solving. Students work on actual datasets from industry partners, with a capstone project involving industry professionals. Simplilearn data science course covers banking, telecommunications, and social media, focusing on practical data science approaches like predictive models, data visualization, and analytics.

Industry Projects

Capstone Projects

The capstone project is an important component that allows students to apply their knowledge to real-world problems spanning from business to academia. It entails developing web-based apps to satisfy operational and strategic needs. A normal capstone project team comprises one faculty member and up to five individuals. The project is frequently mentioned in job interviews for data scientists and many more position in data science course domain. It includes data exploration, analysis, processing, machine learning approaches, performance evaluation, and stakeholder communication. The capstone project demonstrates students’ abilities to extract corporate value and address complicated challenges using a disciplined approach.

Internship

When one learns practical knowledge through the above-mentioned projects, the consequence is in the form of an internship where those approaches are used in the actual world. Many institutes also provide internships as a means of gaining experience. When enrolling in either the Simplilearn data science course or the Intellipaat data science course, ask your councilor about the perks that are included.

Internship

Final Placement

Great Learning and Simplilearn are two companies that offer data science courses. Great Learning data science course provides career support services, including resume building, interview preparation, and networking opportunities. It partners with leading companies across industries, enabling graduates to secure roles in data scientists, data analysts, business analysts, and machine learning engineers. Simplilearn data science course JobAssist, in collaboration with IIMJobs, offers certified learners additional assistance in landing their ideal employment in India. The program offers free resume building assistance, IIMJobs Pro-Membership, and a spotlight on IIMJobs to showcase profiles to recruiters.

Placements

Analytics Jobs Review

Analytics Jobs is India’s first question-and-answer review platform focused on analytics. It is a community-driven site where experts and aspirants may ask questions, exchange insights, and examine courses, tools, and industry practices relating to analytics and data science. The platform’s goal is to encourage information sharing and informed decision-making by pooling user experiences and comments, making it a significant resource for the analytics job landscape in India.

Analytics Jobs Reviews

This is data science course comparison summary with key difference between Great Learning and Simplilearn data science course.

Comparison Summary (Imarticus Learning VS Intellipaat)

Founders

Course Name

Course Duration

Mode of Training

Data Science Course Fee

Data Science Course Curriculum

Python for AI & ML Applied Statistics
Python Bootcamp for Non-Programmers
PG Certificate from UT Austin and Great Lakes
Capstone Project Career Assistance: Resume building and Mock interviews
Reinforcement Learning Self-paced Module: Recommendation Systems
Model Deployment Visualization using Tensor board GANs (Generative Adversarial Networks)
Time Series Forecasting Pre Work for Deep Learning
Self-paced Module: ChatGPT: The Development Stack Additional Modules

Business Analytics with Excel
Database Management Using SQL
Extract, Transform and Load (ETL)
Tableau for Business Intelligence
Fundamentals of Python Programming
Business Analytics With Python
Data Analysis and Visualization With
Python by IBM
Essentials of Generative AI, Prompt
Engineering & ChatGPT
Applications of Generative AI in Data
Applications of Generative AI in Data
Data Storytelling using Power BI

Query Resolution

Student Faculty Ratio

Industry Projects

Capstone Projects

Internship

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.