ExcelR vs Udemy Data Science Course Reviews…Which To Choose?
ExcelR vs Udemy Data Science Course Reviews
Deciding between which programs to use in order to study Data Science, with ExcelR and Udemy, can be a very difficult task. Both are familiar e-learning platforms that possess slightly differing elements in terms of course formats, costs, key features, and students’ testimonials.
ExcelR is centered on knowledge application through the relevant projects, and provides maximum career assistance with placement opportunities. On the contrary, with Udemy you will be able to take an all-rounded and flexible course in Data Science, comes with lifetime access and is activity based.
Here you will get comparable details of the course like the course provided by ExcelR and Udemy, fees structure, important features and students’ feedback for the Data Science course.
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.
Udemy Data Science Course: Courses, Key Highlights, Syllabus, Placements, Fees, Reviews
Udemy Data Science Course
Udemy’s “The Data Science Course: “Complete Data Science Bootcamp 2024” belongs to the popular Udemy courses and is focused on the comprehensive training in data science. While other similar and even cheaper programs can be obtained at AnalytixLabs or other institutions, this and other Udemy courses are perfect for everyone from novices to those who want to upgrade their knowledge.
This course offers a large variety of materials and consists of the basics of Data Science, AI, and Machine Learning divided into lessons. They include the real-life coding activities, case studies, and the real observation that the students get in taking the course as a means of preparing the students’ interest for real life applications in the job market. Constant assistance from the active users, coupled with lifetime membership to Udemy provides the learner all the necessary tools to deal with real life challenges in the field of data science.
Udemy Data Science Course Key Highlights
| Attribute | Details |
|---|---|
| Comprehensive Coverage | Extensive curriculum that includes all essential data science topics. |
| Practical Coding Exercises and Case Studies | Includes hands-on coding exercises and real-life business case studies to enhance practical skills. |
| Step-by-Step Installation and Setup Instructions | Provides detailed guidance on how to install and set up required software. |
| Active Q&A Support and Community Engagement | Offers ongoing support through Q&A sessions and engagement with the course community. |
| Access to Future Updates and Additional Resources | Learners receive updates and additional resources as they become available. |
| 30-Day Money-Back Guarantee | Provides a risk-free trial with a guarantee of a full refund within 30 days if not satisfied. |
Udemy Data Science Course Syllabus
| Module | Topics |
|---|---|
| 1. Introduction to Data and Data Science | – Big Data – Business Intelligence (BI) – Business Analytics – Machine Learning (ML) – Artificial Intelligence (AI) |
| 2. Mathematics | – Calculus – Linear Algebra |
| 3. Statistics | – Statistical Analysis – Hypothesis Testing |
| 4. Python Programming | – Python Basics – Libraries: NumPy, pandas, matplotlib, Seaborn |
| 5. Data Visualization | – Tableau – Data Storytelling |
| 6. Advanced Statistics | – Regressions – Clustering – Factor Analysis |
| 7. Machine Learning | – Supervised and Unsupervised Learning – Model Evaluation – Hyperparameter Tuning |
| 8. Deep Learning | – Neural Networks – TensorFlow |
Udemy Data Science Course Placements
Even though Udemy doesn’t provide direct placement services, finishing this course will provide you with the skills and knowledge needed to apply for jobs in data science. The course contains projects and real-world business case studies that you may add to your portfolio to increase your employability.
Udemy Data Science Course Fees
Udemy Data Science Course Fees
Udemy Data Science Course Reviews
The course has received a good rating of four. 6 out of 5 from 142,118 people. Concerning the strength, the identified strength include the provision of comprehensive content, integration of practical exercises and the effective organizational of the content to teach the learners complex concepts. However, from the learners’ perspective, some have suggested that more reinforcement on some of the covered machine learning methods like Random Forest and Support Vector Machines would complement the course.
Featured Review
Janaki Ballav Mohapatra: As always, 365 careers is fantastic. I loved the Deep Nets part mostly. However, there are other significant Machine Learning techniques such as Random Forest Classification/Regression and Support Vector Machines/Regression I wish were covered. Nonetheless, the course is exceptional, which covers almost everything. Thank you 365 team, you all are simply the best. Janaki Mohapatra, India
This course is good for those who wish to become a data scientist or those who want to learn the upgraded version in data science and related careers.
ExcelR vs Udemy Data Science Course Differences
| Feature | ExcelR Data Science Course | Udemy Data Science Course |
|---|---|---|
| Course Duration | 6 months | Self-paced |
| Certification | Certificate from IIT Madras Pravartak, SGIT, Steinbeis University | No official certification |
| Training Format | Live online classes, recorded sessions, classroom option | Pre-recorded video lectures |
| Mode of Study | Online and Classroom | Online only |
| Curriculum Coverage | Extensive, includes Python, R, Machine Learning, AI, Big Data | Comprehensive, includes Python, Machine Learning, AI, Deep Learning |
| Practical Projects | Real-world projects and case studies | Hands-on coding exercises and real-life case studies |
| Instructor Support | Industry experts with live interaction | Community-driven Q&A, no direct instructor interaction |
| Placement Support | Resume building, interview preparation, job placement assistance | No placement support |
| Learning Flexibility | Fixed schedule with online and classroom options | Learn at your own pace with lifetime access |
| Cost | Higher cost due to certifications and live training | Generally more affordable |
| Target Audience | Beginners and professionals seeking structured learning | Beginners and self-learners preferring flexible, affordable options |
Conclusion
It is seen that both the organizations ExcelR as well as the Udemy have good courses on Data Science, but they may not be suitable for the same exigency. ExcelR is suitable for those who prefer online classes and want to get hired, have certified trainers, and structured classes. Alternatively, Udemy is preferable if you are interested in a more individual approach with no strict schedules and the course that does not cost much. Thus, if you are looking for practical classes and verified certification ExcelR may be worth the cost. Nevertheless, if your aim is to find a course that you can take without having to attend regular classes or one which is cheap and self paced, then you will find Udemy helpful.
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ALSO READ: UpGrad vs Coursera Business Analytics Course Reviews: Which One is Right for You?
Frequently Asked Questions
1. Which course is better for beginners, ExcelR or Udemy?
ExcelR is great for beginners who prefer a structured learning path with live classes, hands-on projects, and career support. Udemy is also beginner-friendly but offers more flexibility with self-paced learning and lifetime access to course materials.
2. Do ExcelR and Udemy provide certificates upon course completion?
Yes, ExcelR provides certificates from IIT Madras Pravartak and SGIT, Steinbeis University. Udemy also offers a certificate of completion, but it’s not as widely recognized as ExcelR’s certification.
3. Can I access course materials after completing the course?
With ExcelR, you have access to recorded sessions on their Learning Management System (LMS) for a limited period. Udemy, on the other hand, offers lifetime access to all course materials.
4. Does Udemy offer any placement support like ExcelR?
No, Udemy does not offer placement support. ExcelR provides resume building, interview preparation, and job placement assistance as part of their course package.
5. How do the course fees compare between ExcelR and Udemy?
ExcelR tends to be more expensive due to the live training, certifications, and placement support included. Udemy is generally more affordable, offering high-quality courses at a lower price.
6. Are the instructors for ExcelR and Udemy courses industry professionals?
Yes, both ExcelR and Udemy courses are taught by industry professionals. ExcelR offers live interaction with instructors, while Udemy provides pre-recorded lectures with Q&A support through the platform.
7. Which platform offers more flexibility in learning?
Udemy offers more flexibility as you can learn at your own pace and access the course materials anytime. ExcelR offers some flexibility with weekend and weekday options but follows a more structured schedule.
8. Can I switch between online and classroom learning with ExcelR?
Yes, ExcelR offers both online and classroom learning options, allowing students to choose the mode that best suits their needs.
