Course Comparison> Simplilearn Vs Upgrad > Year – 2024
Data Science Course Comparison
Are you tired of searching for the best data science course and feel confused about what to choose? Which institute provides the best placements? Are these courses worth your hard-earned money?
So, no worries. We have curated this comparison between the two emerging ed-tech institutes – Simplilearn Vs Upgrad. This comparison will be your genuine answer for their course content, fees, mentors, query resolution support, and especially placements.
Let us go through the important parameters to be considered for the Simplilearn data science course and Upgrad data science course.
Founders – Founders are the main leaders of the organization who lead the path of an organization. Their values and thinking of developing the organization creates a huge impact on the employees and consumers/students. It is important to know about the organization’s founders to get a perspective of the real world.
Founders
Krishna Kumar & Kashyap Dalal
Ronnie Screwvala, Mayank Kumar, and Phalgun Kompalli
Course Duration – Choose a data science course with at least 6 months of duration. This is the minimum duration required to acquire good theoretical and practical knowledge about data science to get your dream job.
Course Duration
11 months
12 Months
Mode of Training – Opt for the mode of training as per your preference. For example, a fresher can choose regular classroom sessions. A working professional can choose weekend online classes. A homemaker can opt for self-paced online videos. So, the organization should provide all types of mode of training for the ease of students.
Mode of Training
Online/Live
Online/Live + Self-paced classes
Program Fee – Depending upon the course duration, mentors, mode of training, curriculum, and many other factors, the program fee is decided by the organization. Students should get the EMI payment options to avoid burdening their parents with finance.
Data Science Course Fee
₹ 57,000
₹ 4,48,000
Course Curriculum – The course curriculum should be different for a novice and a working professional. Novices have to learn everything from the beginning, but a professional may already have the basic knowledge. The curriculum should be industry-relevant and full of quizzes, tests, and minor projects to guide all the topics to students.
Data Science Course Curriculum
- Programming Essentials
- SQL Certification Course
- Python for Data Science by IBM
- Applied Data Science with Python
- Machine Learning using Python
- Tableau Desktop Specialist Certification Training
- Data Scientist Capstone
- Data Toolkit
- Machine Learning
- Business Intelligence/ Data Analytics
- Deep Learning
- Data Engineering
- Natural Language Processing
- Business Analytics
Query Resolution – Tickets can be a way of dealing with students’ queries related to anything and everything about the course or institute. Query can be related to classes, fees, mentors, placements, LMS, and many more that should be solved as soon as possible.
Query Resolution
Ask-Me-Anything (AMA) sessions with IBM leadership
Support is available all days for 24 hours
Student-Faculty Ratio – This means that the number of mentors is in ratio to the number of students. This ratio will help to know the number of students in the batch so that the mentor can concentrate properly on every student.
Student-Faculty Ratio
Small Batches
Small Batches
Industry Projects – After completing the course, a student learns everything theoretically. Industry projects, on the other hand, are essential for putting all of these theories into practice. Always guarantee that the learning platform includes industrial assignments to prepare you for the corporate environment.
Industry Projects
25+ Projects
- Sales Analysis
- Employee Performance Analysis
- Classification of Songs
- Interactive Sales Dashboard
- Crime Analysis with Tableau Dashboard
- Marketing Strategies with Exploratory Data Analysis
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
Capstone Projects – At the conclusion of a course or program, students complete a comprehensive capstone project that serves as their final project. It gives them the chance to apply their knowledge in a real-world setting, develop critical skills, sharpen their problem-solving abilities, and provide a valuable portfolio item for employers, which boosts their confidence and future job prospects.
Capstone Project
Capstone Project from 3 Domains
No Capstone Project
Internship – If the organization offers the students internship chances, that is an excellent thing. An internship will give students an extensive understanding of the corporate sector in addition to assisting them in handling real-life situations. Students can work an internship, specifically in the data science industry, to learn more about their career options.
Internship
No Internship
No Internship
Final Placements – Before enrolling for any course, always make sure the placements have received favorable ratings. The organization should be transparent about the placement support or guarantee that they provide. Check out reviews from former students to see if the placement opportunities are genuine. It’s crucial to ask questions about things like placement guarantee and support.
Final Placements
Placement Support (IIM Jobs Pro-Membership of 6 months for free & Resume building assistance)
360 Degree Career Support
Analytics Jobs Reviews – Make sure to check out genuine reviews and ratings of a data science course on Analytics Jobs to choose the right learning platform.
Analytics Jobs Reviews
To wrap it all up, here’s a comparison summary between the Great Learning data science course and the Upgrad data science course.
Comparison Summary (Simplilearn Vs Upgrad)
Founders
Krishna Kumar & Kashyap Dalal
Ronnie Screwvala, Mayank Kumar, and Phalgun Kompalli
Course Duration
11 months
12 Months
Mode of Training
Online/Live
Online/Live + Self-paced classes
Data Science Course Fee
₹ 57,000
₹ 4,48,000
Data Science Course Curriculum
- Programming Essentials
- SQL Certification Course
- Python for Data Science by IBM
- Applied Data Science with Python
- Machine Learning using Python
- Tableau Desktop Specialist Certification Training
- Data Scientist Capstone
- Data Toolkit
- Machine Learning
- Business Intelligence/ Data Analytics
- Deep Learning
- Data Engineering
- Natural Language Processing
- Business Analytics
Query Resolution
Ask-Me-Anything (AMA) sessions with IBM leadership
Support is available all days for 24 hours
Student-Faculty Ratio
Small Batches
Small Batches
Industry Projects
25+ Projects
- Sales Analysis
- Employee Performance Analysis
- Classification of Songs
- Interactive Sales Dashboard
- Crime Analysis with Tableau Dashboard
- Marketing Strategies with Exploratory Data Analysis
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
Capstone Project
Capstone Project from 3 Domains
No Capstone Project
Internship
No Internship
No Internship
Final Placements
Placement Support (IIM Jobs Pro-Membership of 6 months for free & Resume building assistance)
360 Degree Career Support
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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