UpGrad vs ExcelR Data Science Course Comparison…Which One Should You Choose?
UpGrad vs ExcelR Data Science Course Comparison
The choice of whether or not to get a platform to learn Data Science. UpGrad or ExcelR may be a tricky one relative to the fact that these two e-learning platforms are giants in today’s market with distinguishing factors on the type of course they offer, cost, level of uniqueness and reviews gotten from learners. UpGrad also provides for the application of concepts through assignment and provides industry integrated career support as well as dedicated placement service for its students. This structure of the course offered by ExcelR is more structured and flexible where the students can learn the required Data Science knowledge and at the same time get the relevant certification. Based on the above details of the courses and fee structure of both UpGrad and ExcelR, the major points as well as the reviews of others which are mentioned below will help you decide to choose the right platform for learning Data Science.
upGrad Data Science Course: Courses, Key Highlights, Syllabus, Placements, Fees, Reviews
upGrad Data Science Course
One of the significant points that should be taken into account when deciding on the upGrad for the Data Science education is its focus on the longer course’s length and relatively higher prices compared to other educational platforms. However, what makes upGrad stand out from the rest is the well-stock array of features such as the Post Graduate Programs and collaborations with renowned universities from across the world. Such collaborations make a certain that students get value oriented curricula that aims at making the students job competent.
The company upGrad in its portfolio provides a range of programs in different fields that include MBA, Data science and analytics, the artificial intelligence, and machine learning, etc. If you want to advance in the corporate world, pursue a master’s degree, or attend an intensive BootCamp, upGrad has programs to meet any educational scenario. Thus, students gain opportunities to learn from the specialists of the industry who are more involved in the learning process, making it effective and informative.
upGrad Data Science Course Key Highlights
| Attribute | Details |
|---|---|
| Generative Artificial Intelligence Integration | Courses include AI components to stay updated with industry trends. |
| Real-World Projects and Case Studies | Hands-on experience with projects that reflect actual industry challenges. |
| Placement Assistance | Dedicated support to help learners secure jobs after course completion. |
| 1:1 Mentorship Sessions | Personalized guidance from industry experts to enhance learning and career development. |
| Exclusive Job Portal Access | Access to a specialized job portal with significant opportunities and potential salary hikes. |
upGrad Data Science Course Syllabus
| Module | Sub-Modules / Topics |
|---|---|
| Foundation Modules | |
| Introduction to Data Science | Overview of data science concepts and the industry. |
| Mathematics for Data Science | Basic mathematics, statistics, and probability essential for data science. |
| Programming Basics | Introduction to Python and R programming languages. |
| Data Handling | Techniques for data cleaning, preprocessing, and transformation. |
| Core Data Science Modules | |
| Data Analysis and Visualization | – Exploratory Data Analysis (EDA) – Data visualization using tools like Matplotlib, Seaborn, and Tableau |
| Machine Learning Fundamentals | – Supervised Learning: Linear Regression, Logistic Regression – Unsupervised Learning: Clustering, Principal Component Analysis (PCA) – Reinforcement Learning basics |
| Advanced Data Science Modules | |
| Deep Learning and Neural Networks | – Introduction to Neural Networks – Convolutional Neural Networks (CNN) – Recurrent Neural Networks (RNN) – Transfer Learning |
| Natural Language Processing (NLP) | – Text Mining – Sentiment Analysis – Word Embeddings – Advanced NLP techniques |
| Big Data Technologies | – Introduction to Big Data – Hadoop and Spark – NoSQL Databases |
| Specialized Modules | |
| AI and Machine Learning Applications | – Predictive Modeling – Time Series Analysis – Recommendation Systems |
| Business Analytics | – Data-Driven Decision Making – Business Metrics and KPIs – Case Studies in Business Analytics |
| Capstone Projects | – Real-world projects – Hands-on experience with industry datasets |
| Tools and Technologies | |
| Programming Languages | Python, R |
| Data Handling | MySQL, Pandas, NumPy |
| Machine Learning Libraries | Scikit-learn, TensorFlow, Keras, PyTorch |
| Data Visualization | Matplotlib, Seaborn, Tableau, Power BI |
| Big Data | Hadoop, Spark |
| Database Management | SQL, NoSQL |
| Capstone Projects and Industry Projects | – Real-world Scenarios: Work on projects from various industries like finance, healthcare, e-commerce, and more – Guidance from Mentors – Portfolio Development |
upGrad Data Science Course Placements
UpGrad provides great placement support
- 57% Average Salary Hike: Significant salary increase post-course.
- Highest Salary Offered: ₹1.23 Cr per annum.
- 6000+ Career Transitions: Successful career changes for many learners.
- 300+ Hiring Partners: Top companies like Amazon, Microsoft, and Tata.
upGrad Data Science Course Fees
Fees vary by program and university
- MS in Data Science (Liverpool John Moores University): ₹3,00,000 to ₹5,00,000.
- Post Graduate Programme in Data Science & AI (IIIT Bangalore): ₹2,50,000 to ₹4,00,000.
- Data Science Bootcamp: ₹1,50,000 to ₹2,50,000.
upGrad Data Science Course Fees
upGrad Data Science Course Reviews
The learners also appreciate upGrad for the rich content of the program, practical assignments and quality of trainers. The best aspects are, indeed, placement assistance and support from mentors. Its Data Science courses are evidently lucrative with graduates testifying to a successful career switch and increase in remunerations.
Success Stories:
- Abhinay Bandaru: The configurational analysis shows that the following specific configurations were instrumental in learning: The mentors who helped me understand new things that I came across.
- Bhagvathi: I particularly got a job as Data Analyst at Kantar with the help of upGrad’s content and placement drive.
- Moulik Srivastava: ‘The ability to engage in projects and to be mentored was proven to be very effective.’
- These programs are recognized for high academic affiliation coupled with an emphasis on the operations aspect and extensive career support hence upGrad’s Data Science programs are ideal for a professional seeking upward mobility.
ExcelR Data Science Course: Course, Key Highlights, Syllabus, Placement Support, Fees, Review
ExcelR Data Science Course
Course Name: Data Science Course
Duration: 6 months
Certification:
- Certificate from IIT Madras Pravartak (for training at IIT Madras)
- Certification from SGIT, Steinbeis University, Germany
Training Format:
- 15+ hours of training at IIT Madras over 2 days
- Live online classes
- Recorded sessions available on ExcelR’s Learning Management System (LMS)
Mode of Study: Online and Classroom
Excelr’s Data Science course is a 6-month program that offers both online and classroom learning options. It is designed to help beginners and professionals master data science. The course covers essential topics such as Python, R, statistics, machine learning, and data visualization. With flexible learning schedules, it allows students to study at their own pace. The course also includes real-world projects, helping participants apply their knowledge practically.
ExcelR Data Science Course Key Highlights
| Attribute | Details |
|---|---|
| Complete Curriculum | Includes Python programming, statistical analysis, machine learning, data visualization tools like Tableau, and big data technologies like Hadoop and Spark |
| Expert Instructors | Taught by industry experts who share practical knowledge and real-world experiences |
| Practical Projects | Students work on real-world projects and case studies to apply what they learn |
| Flexible Learning | Available online and in-person, with weekend and weekday options |
| Certification | Graduates receive a certificate recognized by many companies, enhancing their professional credentials |
ExcelR Data Science Course Syllabus
| Module | Topics Covered |
|---|---|
| Data Science | Module 1 – Statistical Analysis Module 2 – Hypothesis Testing Module 3 – Linear And Logistic Regression Module 4 – EDA Module 5 – Unsupervised ML Algorithms Module 6 – Machine Learning Models Module 7 – Neural Network Module 8 – Bagging And Boosting Module 9 – Text Mining Module 10 – Forecasting |
| Core Python | Module 11 – Introduction Module 12 – Variables Module 13 – Code Practice Platform Module 14 – Operators, Loops & String Module 15 – List, Tuples, And Dictionary Module 16 – Function & Modules Module 17 – Files & Directories Module 18 – Exception Handling Module 19 – OOP Module 20 – Regular Expressions Module 21 – SQLite And MySQL |
| Tableau | Module 22 – Tableau Products And Usage Module 23 – Charts On Tableau Module 24 – Filters And Calculations Module 25 – Data Combining Techniques Module 26 – Grouping The Data Module 27 – Analytics & Dashboard |
| MySQL | Module 28 – Introduction To MySQL Module 29 – SQL Commands Module 30 – DQL Operators Module 31 – Functions Module 32 – Constraints Module 33 – Joins Module 34 – SQL Concepts |
| Artificial Intelligence | Module 35 – Introduction To Neural Network & Deep Learning Module 36 – Parameter & Hyperparameter Module 37 – CNN Module 38 – RNN |
| Big Data Tools | Module 39 – Hadoop Module 40 – Spark & Data Bricks Module 41 – Azure |
| Basics Of R | Module 42 – R And RStudio |
| ChatGPT | Module 43 – ChatGPT |
ExcelR Data Science Course Placement Support
- Resume building
- Interview Preparation
- Networking with top companies
- Successful job placements
ExcelR Data Science Course Fees
ExcelR Data Science Course Fees
ExcelR Data Science Course Review
Excelr’s Data Science course is highly regarded due to its practical approach, experienced instructors, and complete syllabus. The hands-on projects and case studies give students important hands-on training that helps them move into data science careers. A further important advantage is the strong placement support.
Advantages:
- A complete and current syllabus
- knowledgeable and inspiring teachers
- Adaptable educational alternatives
- solid placement assistance
Disadvantages:
- More expensive than some other courses
- Even for total beginners, the course could be difficult.
UpGrad vs ExcelR Data Science Course Comparison
| Feature | UpGrad | ExcelR |
|---|---|---|
| 1. Course Duration | 6-12 months (varies by program) | 6 months |
| 2. Learning Format | Online | Online and Classroom |
| 3. Course Content | Comprehensive, includes foundation, core, advanced, and specialized modules | Extensive, includes Data Science, Core Python, Tableau, MySQL, AI, Big Data |
| 4. Key Highlights | 1. Industry-relevant projects 2. 1:1 Mentorship 3. Placement assistance | 1. Real-world projects 2. Expert instructors 3. Flexible learning |
| 5. Certifications | From universities like Liverpool John Moores University, IIIT Bangalore | Certification from IIT Madras Pravartak and SGIT, Steinbeis University, Germany |
| 6. Career Support | 1. Placement assistance 2. 6000+ career transitions 3. Access to exclusive job portals | 1. Resume building 2. Interview preparation 3. Networking with top companies |
| 7. Tools & Technologies | 1. Python 2. R 3. MySQL 4. Tableau 5. Hadoop 6. Spark 7. TensorFlow 8. Keras | 1. Python 2. R 3. Tableau 4. MySQL 5. Hadoop 6. Spark 7. Azure |
| 8. Real-World Projects | Yes | Yes |
| 9. Placement Record | 1. Average salary hike: 57% 2. Highest salary: ₹1.23 Cr | Strong placement support, with successful job placements |
| 10. Fees | ₹1,50,000 to ₹5,00,000 (depending on the program) | Detailed fee structure varies by course selection |
| 11. Student Reviews | 1. Rich content 2. Practical assignments 3. Strong placement support | 1. Practical approach 2. Experienced instructors 3. Comprehensive syllabus |
| 12. Pros | 1. Extensive university collaborations 2. Strong career support | 1. Flexible learning options 2. Recognized certification 3. Practical training |
| 13. Cons | 1. Higher cost compared to other platforms 2. Longer duration | 1. May be expensive for some learners 2. Challenging for beginners |
Conclusion
In conclusion, the UpGrad and ExcelR are two packing course full and mentally designed to teach Data Science to the different needs. UpGrad is a relatively expensive platform and it takes time to complete courses However, the benefit from it is very high with the identification of university collaborations, the broad curriculum coverage as well as strong career services hence a highly supportive learning process.
ExcelR unlike some other institutes conducts both online and classroom training, provides internationally recognized certification and above all practical training. It might be ideal for those learners who want working knowledge and those who can independently organize their classes; but it has its challenges for the complete beginners and slightly expensive.
The last will be for you to decide on which method you would want to use to learn and in this, UpGrad is cheaper than ExcelR though it comes with lesser intensive knowledge as compared to ExcelR. If you are especially concerned with academic credentials and especially intense career services then UpGrad may be the better choice. For those interested in Flexibility, practical training and professional certification, then ExcelR is probably the best place for you.
For further clarification and fee concession, you can contact
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- Contact Info– 7735361649
ALSO READ: UpGrad vs Coursera Business Analytics Course Reviews: Which One is Right for You?
Frequently Asked Questions
- What are the main differences between ExcelR and UpGrad Data Science courses?
Answer: The main differences between ExcelR and UpGrad Data Science courses lie in course duration, learning format, and fees. ExcelR offers a 6-month course with options for both online and classroom learning. UpGrad provides a range of programs with durations varying from 6 to 12 months and is primarily focused on online learning. - Which platform offers better career support: ExcelR or UpGrad?
Answer: UpGrad is well-known for its comprehensive career support, which includes placement assistance, resume building, and access to exclusive job portals. ExcelR also offers robust career support, featuring resume building, interview preparation, and networking opportunities. - What are the key highlights of ExcelR’s Data Science course?
Answer: Key highlights of ExcelR’s Data Science course include practical projects, flexible learning options, expert instructors, and certification from esteemed institutions such as IIT Madras Pravartak and SGIT. - What certifications are offered by UpGrad’s Data Science course?
Answer: UpGrad provides certifications from prestigious universities, including Liverpool John Moores University and IIIT Bangalore. - How does the course content of ExcelR compare to UpGrad?
Answer: Both ExcelR and UpGrad cover core Data Science topics. However, ExcelR’s syllabus includes additional modules on Core Python, Tableau, MySQL, and Big Data tools. UpGrad’s content is more comprehensive, featuring advanced modules in AI, NLP, and Business Analytics. - What is the fee structure for ExcelR vs UpGrad Data Science courses?
Answer: The fee structure for ExcelR varies by course, with detailed pricing available upon inquiry. UpGrad’s fees range from ₹1,50,000 to ₹5,00,000 depending on the specific program. - Are there any real-world projects included in the Data Science courses?
Answer: Yes, both ExcelR and UpGrad include real-world projects in their curricula, allowing students to apply their knowledge to practical scenarios. - How flexible are the learning formats for ExcelR and UpGrad courses?
Answer: ExcelR offers flexibility with both online and classroom learning options. UpGrad courses are primarily delivered online, with varying schedules and access to recorded sessions. - What are students saying about ExcelR and UpGrad Data Science courses?
Answer: Student reviews for UpGrad often highlight its rich content and strong career support. ExcelR is praised for its practical approach and experienced instructors.
