Courses FAQs

General Information

1. What types of courses are offered by Emancipation Edutech?

We offer a comprehensive range of courses in various technological domains, including:

  • Python Programming
  • Data Science
  • Machine Learning
  • Web Designing and Development
  • Java Programming
  • Advanced Java Programming
  • Full Stack Java Programming
  • C Programming
  • C++ Programming
  • Data Analysis with Python
  • Data Analysis with Power BI, Advanced Excel, and SQL
  • Node.js
  • MERN Stack

Course Durations

2. What is the duration of each course?

Our courses are designed to provide in-depth knowledge and practical skills. The typical durations are:

  • Python Programming: 16 weeks (4 months)
  • Data Science: 24 weeks (6 months)
  • Machine Learning: 24 weeks (6 months)
  • Web Designing and Development: 16 weeks (4 months)
  • Java Programming: 16 weeks (4 months)
  • Advanced Java Programming: 32 Weeks (8 Months)
  • C Programming: 8 weeks (2 months)
  • C++ Programming: 8 weeks (2 months)
  • Data Analysis with Python: 16 weeks (4 months)
  • Data Analysis with Power BI, Advanced Excel, and SQL: 16 weeks (4 months)
  • Node.js: 16 weeks (4 months)
  • MERN Stack: 24 weeks (6 months)

Pricing and Discounts

3. What is the pricing for each course?

Our pricing is competitive and varies by course. For detailed pricing, please contact us directly at +919264477176 or email us at teamemancipation@gmail.com.

4. Are there any discounts available?

Yes, we offer discounts upon calling and discussing your specific needs. Reach out to us to find out more about our current promotions and offers.

Course Customization and Flexibility

5. Do you offer customized courses?

Yes, we provide customized courses tailored to meet the specific needs of individuals or organizations. Contact us to discuss your requirements and we will design a curriculum that suits your needs.

6. Are on-demand tutors/trainers available?

Yes, we offer on-demand tutors and trainers for personalized learning experiences. This can be arranged based on availability and specific requirements.

Practical and Industry-Oriented Training

7. Are the courses industry-oriented?

Yes, all our courses are designed to be practical and industry-oriented, ensuring that students gain hands-on experience and skills relevant to the job market.

8. Do you provide LinkedIn integrated certificates?

Yes, upon successful completion of each course, you will receive a certificate that can be integrated with your LinkedIn profile to showcase your skills and achievements.

Attendance and Class Policies

9. Can I switch between classroom classes and live Zoom classroom programs?

Switching between classroom classes and live Zoom sessions is not possible. You must choose one mode of instruction at the time of enrollment.

10. Are printed materials provided?

We provide digital materials for all courses. If you prefer printed materials, the cost will not be covered by us and must be borne by the student.

11. What is the policy on leaves and absences?

  • Short-Term Courses: Leaves are generally not entertained. Absentees may incur penalties and will need to make up for missed classes on their own.
  • Long-Term Courses: Limited leave can be accommodated, but students must notify us in advance and arrange to catch up on missed content.

Additional Information

12. Are the classes and courses practical oriented?

Yes, all our classes and courses are practical-oriented, focusing on real-world applications and hands-on learning to ensure students gain practical experience.

13. Are the durations of courses fixed?

The durations mentioned are typical; however, they may increase or decrease based on requirements and situational factors.

14. Do you offer courses for students during summer or winter vacations?

Yes, we have special courses designed for students during summer and winter vacations, tailored to their specific requirements and schedules.

Projects and Internships

15. Do you offer project work and internships?

Yes, we provide opportunities for project work and internships to help students gain practical experience and enhance their skills.

16. Are internships paid or unpaid?

We offer both paid and unpaid internships. Paid internship seats are limited and competitive.

Tools and Topics Covered in Each Course

17. What tools and topics are covered in the Python Programming course?

  • Tools: Jupyter Notebook, Anaconda, PyCharm, VS Code
  • Topics: Basics of Python, Data Types, Control Structures, Functions, Modules, Exception Handling, File Handling, Object-Oriented Programming.

18. What tools and topics are covered in the Data Science course?

  • Tools: Python, Pandas, NumPy, Matplotlib
  • Topics: Data Analysis, Data Visualization, Machine Learning, Big Data, Data Wrangling, Predictive Modeling

19. What tools and topics are covered in the Machine Learning course?

  • Tools: Python, Scikit-Learn, TensorFlow, Keras, PyTorch
  • Topics: Supervised Learning, Unsupervised Learning, Neural Networks, Deep Learning, Model Evaluation, Natural Language Processing, Computer Vision
  • Projects: Real-world projects to apply machine learning techniques

20. What tools and topics are covered in the Web Designing and Development course?

  • Tools: HTML, CSS, JavaScript, Bootstrap, jQuery, React, Angular
  • Topics: Web Design Principles, Responsive Design, Front-End Development, Back-End Development, APIs, Database Integration

21. What tools and topics are covered in the Java Programming course?

  • Tools: Eclipse, IntelliJ IDEA, NetBeans
  • Topics: Basics of Java, Object-Oriented Programming, Data Structures, Algorithms, Multithreading, GUI Development, Networking

22. What tools and topics are covered in the C Programming course?

  • Tools: GCC Compiler, Code::Blocks, Dev-C++
  • Topics: Basics of C, Control Structures, Functions, Arrays, Pointers, File Handling, Dynamic Memory Allocation

23. What tools and topics are covered in the C++ Programming course?

  • Tools: GCC Compiler, Code::Blocks, Visual Studio
  • Topics: Basics of C++, Object-Oriented Programming, STL, File Handling, Exception Handling, Templates

24. What tools and topics are covered in the Data Analysis with Python course?

  • Tools: Python, Pandas, NumPy, Matplotlib
  • Topics: Data Wrangling, Data Cleaning, Data Visualization, Exploratory Data Analysis

25. What tools and topics are covered in the Data Analysis with Power BI, Advanced Excel, and SQL course?

  • Tools: Power BI, Excel, SQL
  • Topics: Data Modeling, Data Visualization, Power Query, DAX, Advanced Excel Functions, SQL Queries, Database Management

26. What tools and topics are covered in the Node.js course?

  • Tools: Node.js, Express.js, MongoDB, Postman
  • Topics: Basics of Node.js, Building APIs, Middleware, Database Integration, Authentication, Real-Time Applications

27. What tools and topics are covered in the MERN Stack course?

  • Tools: MongoDB, Express.js, React, Node.js, Git, Docker
  • Topics: Full-Stack Development, Front-End Development with React, Back-End Development with Node.js and Express.js, Database Management with MongoDB, RESTful APIs, Deployment and CI/CD

For more details and to enroll, please visit our website https://emancipation.co.in or contact us at +919264477176 or teamemancipation@gmail.com.

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