ExcelR vs. Simplilearn…Which Data Science Course is Better for Your Career?
ExcelR vs. Simplilearn: Which Data Science Course is Better for Your Career?
Among top e-learning giants like ExcelR and Simplilearn, Deciding the Best Platform to learn Data Science is one of a difficult task. Both platforms have their own benefits and advantages according to users learning needs. Simplilearn offers its hands-on learning through real-world projects, industry-recognized certifications and career support with job placement assistance. In contrast, ExcelR gives a very structured and flexible learning process of getting the Data Science education an individuals while also earning verifiable certificates from IIT Madras as well as Steinbeis University. Through this article, we will compare ExcelR with online learning juggernaut Simplilearn in an effort to help you make the best decision possible for your Data Science career and provide insights into their key features, course structure cost as well student reviews.
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.
Simplilearn Data Science Course: Overview, Key Highlights, Syllabus, Placement Support, Skills Covered, Fees, Review
Simplilearn Data Science Course Overview
Students will learn to work with various tools and software commonly used in the industry, including Python, SQL, Machine Learning, and Tableau. The course is structured to provide practical, hands-on experience through real-world projects and case studies. With the booming demand for data scientists, this course aims to prepare you for the future.
But is it worth it? Let’s dive into the details to find out.
Simplilearn Data Science Course Key Highlights
| Key Highlights | Description |
|---|---|
| IBM Advantage | Access hackathons, masterclasses, and AMA sessions. Earn IBM certificates for IBM courses. |
| Generative AI Edge | Live sessions on the latest AI trends, generative AI tools, prompt engineering, and more. |
| Applied Learning | Capstone and 25+ industry-relevant data science projects ensure comprehensive learning. |
| Top-notch Data Science Curriculum | Comprehensive data science curriculum with live online classes by industry experts. |
Simplilearn Data Science Course Syllabus
| Module | Topics Covered |
|---|---|
| Programming Essentials | – Python Basics: Setting up Python, using Jupyter Notebook, understanding data types, operators, and string functions. – Procedural Programming: Loops, conditionals, and functions. – Object-Oriented Programming (OOP): Classes, objects, methods, attributes, and access modifiers. |
| SQL Certification Course | – Basics of SQL: Queries, joins, subqueries, and data manipulation. – Advanced SQL: Stored procedures, triggers, and performance optimization. |
| Python for Data Science by IBM | – Data Science Libraries: NumPy, Pandas, and SciPy. – Data Manipulation and Analysis: Handling data frames, statistical analysis, and data visualization. |
| Applied Data Science with Python | – Data Analysis: Exploratory data analysis, descriptive and inferential statistics. – Machine Learning: Supervised and unsupervised learning, linear and logistic regression, clustering, and dimensionality reduction. |
| Machine Learning using Python | – ML Models: Regression models, classification techniques, K-NN, and decision trees. – Model Evaluation: Cross-validation, hyperparameter tuning, and model performance metrics. |
| Tableau Desktop Specialist Certification Training | – Data Visualization: Creating interactive dashboards, data blending, and advanced chart types. – Tableau Features: Calculated fields, parameters, and sets. |
| Data Scientist Capstone | – Capstone Projects: Apply all learned concepts in a comprehensive project. Choose from domains like sales, employee performance, and crime analysis. |
| Electives | – R Programming for Data Science: Basics of R, data manipulation, and statistical modeling. – Business Analytics with Excel: Excel functions for data analysis, pivot tables, and data visualization. – PL-300 Microsoft Power BI Certification Training: Data modeling, DAX, and creating reports and dashboards. – Essentials of Generative AI, Prompt Engineering & ChatGPT: Techniques in generative AI, prompt engineering, and applications of ChatGPT. – PGP DS – Industry Masterclass by IBM: Advanced topics and case studies presented by IBM experts. |
| Career Support | – JobAssist Program: Resume building, interview preparation, and job placement assistance through IIMJobs. – Hackathons and AMA Sessions: Participate in exclusive events and ask-me-anything sessions with industry leaders. |
| Learning Path | 1. Start with foundational courses: Programming Essentials, SQL, and Python for Data Science. 2. Advance to Applied Data Science: Machine learning, data analysis, and visualization. 3. Complete elective courses: Choose from R, Power BI, Excel, or advanced AI topics. 4. Finish with Capstone Project: Apply all your skills in a real-world project. |
| Tools Covered | – Programming: Python, R, SQL. – Libraries: NumPy, Pandas, SciPy. – Visualization: Tableau, Power BI. – Generative AI: ChatGPT, Dalle.2. – Others: MySQL, Microsoft Excel. |
Simplilearn Data Science Course Placement Support
- JobAssist Program: Offers help with building resumes, preparing for interviews, and finding job opportunities through job portals like IIMJobs.
- Industry Connections: Works with top companies to help students find jobs and start their careers.
- Hackathons and AMA Sessions: Provides opportunities to participate in hackathons and “Ask Me Anything” sessions with industry experts to build networks and gain valuable insights.
- Capstone Projects: Includes real-world projects that help students apply what they have learned and build strong portfolios to show potential employers.
- Career Mentoring: Provides one-on-one mentoring with industry professionals to guide students on their career paths and job search strategies.
Simplilearn Data Science Course Fees
The course costs ₹57,000 (including taxes), with financing options starting at ₹4,750 per month.
Simplilearn Data Science Course Fees
Simplilearn Data Science Course Review
The Data Science Course at Simplilearn provides a thorough curriculum together with real-world projects and industry-recognized certifications. A complete education for aspiring data scientists, it offers substantial value with IBM masterclasses and certifications. Given the various financing options, the course tuition is affordable, and the JobAssist program offers helpful job placement assistance.
Is it worth it then? Simplilearn’s Data Science Course looks like a good investment for your career in data science based on the course structure, content, and extra benefits.
ExcelR vs Simplilearn Comparsion
| Feature | ExcelR Data Science Course | Simplilearn Data Science Course |
|---|---|---|
| Duration | 6 months | Varies (typically 6-12 months) |
| Mode of Study | Online and Classroom | Online |
| Training Format | Live online classes, classroom training, recorded sessions | Live online classes, recorded sessions |
| Certifications | – Certificate from IIT Madras Pravartak – Certification from SGIT, Steinbeis University, Germany | IBM certifications |
| Key Topics Covered | Python, R, statistics, machine learning, data visualization, big data (Hadoop, Spark) | Python, SQL, machine learning, data visualization, AI tools (ChatGPT, DALL-E 2) |
| Projects | Real-world projects and case studies | Capstone projects and 25+ industry-relevant projects |
| Instructors | Industry experts | Industry experts and IBM professionals |
| Learning Flexibility | Flexible scheduling with weekend and weekday options | Flexible pacing with access to learning resources |
| Placement Support | Resume building, interview preparation, networking with companies | JobAssist program, resume building, interview preparation |
| Cost | Higher compared to some other courses (exact amount not provided) | ₹57,000 (including taxes) with financing options |
| Advantages | Comprehensive curriculum, hands-on projects, strong placement support | IBM advantage (masterclasses, hackathons), applied learning focus |
| Disadvantages | More expensive, can be challenging for beginners | Not specified |
| Target Audience | Beginners and professionals seeking in-depth knowledge | Beginners and professionals interested in a broad curriculum with applied AI |
Conclusion
Similarities: Both are full-experience data science courses, but they typically suit different preferences as shown below in my next few paras.
All get past members can go through their own activity reinforce class in ExcelR Data Science Course Accreditation is the value remembered right presently like authentic foundations, for example, IIT Madras and SGIT-Steinbeis College HandwerksKammer University (Germany) Do. Provides both online and classroom training, its blends all learning methods. It is a advance course covers in details modules on Stats with R and Python, Machine learning methods and big data tools like Hadoop, Spark plus contingency module for those from non-engineering disciplines. It is also famous for its added strong placements but can be costlier and difficult as compared to others especially when you are a novice.
Featuring a partnership with IBM, Simplilearn Data Science Course is an excellent option for learners on the hunt for a more cost-effective data science online course that offers significant industry links. Through this course, you will learn Python, SQL basics and how to use several machine learning libraries as well as generative AI tools It helps you gain practical experience through real-world projects and offers great career support with its JobAssist program. For students looking for both a solid background in AI and some of the latest advances, this is an excellent course.
To wrap things upThe options between the two courses is entirely upto your learning preference & budget and meanwhile driving the path towards one of industry not in common though. However, for those looking to learn this on a more formal level with recognized certifications and an old school class room type learning setting then ExcelR would be better. Simplilearn would be ideal for you if flexibility is a factor, the cost of education pushes your boundaries or really want to get into practical skill training with industry credentials.
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Frequently Asked Questions (FAQs)
- What are the main differences between ExcelR and Simplilearn’s Data Science courses? Answer: The main differences lie in their course structure, learning format, and certifications. ExcelR offers a more flexible schedule with options for online and classroom learning, and provides certifications from IIT Madras and Steinbeis University. Simplilearn focuses on a purely online format, offering a comprehensive curriculum with practical projects and IBM certifications.
- Which course offers better career support: ExcelR or Simplilearn? Answer: Both ExcelR and Simplilearn provide strong career support, but in different ways. ExcelR offers resume building, interview preparation, and networking opportunities with top companies. Simplilearn, on the other hand, provides a JobAssist program that includes resume services, interview preparation, and access to exclusive job portals.
- Are there any prerequisites for enrolling in the ExcelR or Simplilearn Data Science courses? Answer: Both ExcelR and Simplilearn generally do not require specific prerequisites, as their courses are designed to accommodate beginners. However, having a basic understanding of mathematics and some programming knowledge can be beneficial for a smoother learning experience.
- How do ExcelR and Simplilearn differ in terms of course content and teaching methods? Answer: ExcelR offers a structured course that covers a wide range of topics, including Python, R, machine learning, and big data tools, with a mix of live online and classroom sessions. Simplilearn focuses on a comprehensive online learning experience with modules on Python, SQL, machine learning, and advanced AI techniques, complemented by real-world projects and industry expert-led sessions.
- What certifications do ExcelR and Simplilearn offer upon course completion? Answer: ExcelR provides certifications from IIT Madras and Steinbeis University, which are recognized globally. Simplilearn offers certificates from IBM and Simplilearn itself, which are also well-regarded in the industry.
- Which course is more cost-effective: ExcelR or Simplilearn? Answer: Simplilearn is generally more cost-effective, with lower fees and various financing options. ExcelR tends to be more expensive but offers prestigious certifications and flexible learning formats. The choice depends on your budget and the value you place on certifications and learning formats.
- Do both ExcelR and Simplilearn offer a refund policy or money-back guarantee? Answer: Yes, both platforms typically offer a refund policy, but the terms and conditions vary. It’s important to check their respective websites for detailed information on their refund policies before enrolling.
- Can I get hands-on experience with real-world projects in both courses? Answer: Yes, both ExcelR and Simplilearn include practical, hands-on projects in their curriculum. These projects are designed to give students real-world experience and help them apply theoretical knowledge to practical scenarios.
