FAQ

Frequently Asked Questions

Our courses are designed for anyone who is interested in learning and mastering the skills required for a career in data science, regardless of their educational or professional background. Whether you are a student, a working professional, or someone looking for a career change, our courses are tailored to meet your needs and provide you with the necessary knowledge and skills to succeed in the field of data science.

 

Anyone is welcome to enroll in our programs, but we recommend a certain level of education to ensure that you are prepared for the coursework. Our Integrated Learning Programs are primarily designed for individuals with a Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Computer Applications, Information Technology, or Engineering (any stream). If you have a different degree but have taken mathematics courses at least upto 12th grade level, you may still be eligible for admission with additional preparation. Our Professional Training Program in Data Analytics/Business Analytics/Business Intelligence is open to graduates in any field, but a basic understanding of high school math, analytical skills and computer awareness is recommended. Our Fast Track Course in Data Science and Machine Learning is designed for professionals with prior experience in programming. While we do not restrict admission to anyone, we caution that those without the recommended educational background may find the courses more challenging. However, if you are willing to put in the hard work, we are happy to have you join our program. Ultimately, we are looking for motivated individuals who are willing to work hard to achieve their goals. For more information, please refer to the individual program pages on our website or contact our admissions team

We recommend that students have a strong foundation in high school math, including algebra and geometry. Additionally, some programming experience is helpful but not required. The only mandatory requirement is Analytical mindset. Our courses are designed to be accessible to learners from a variety of academic and professional backgrounds and help them build the necessary skills to pursue a career in Data Science

Absolutely! A technical background is not a mandatory requirement for pursuing a career in Data Science. we offer a free bridge course specifically for non-programming backgrounds to understand programming and computational thinking concepts that covers mathematical prerequisites and programming fundamentals before the start of our data science courses. This course will provide you with the foundational knowledge necessary to succeed in our programs. With dedication and hard work, anyone can become a successful Data Scientist

Data Science is a multidisciplinary field that involves mathematical, statistical, and computational concepts. At our institute, we believe that data science is an inherently mathematical field, and proficiency in math is essential for success in this field. Math plays a crucial role in understanding and interpreting data, building models, and making predictions. While we understand that some individuals may find math challenging or may not enjoy it and this can be discouraging, we strongly encourage all our students to approach math with an open mind and a willingness to learn and we highly recommend that you have a solid foundation in math. Our program includes a unique pre-requisite mathematical module that provides the necessary foundation for those who are not mathematically gifted. We understand that not everyone may be comfortable with math. If you’re not willing to put in the effort to learn or improve your math skills, then our course may not be the right fit for you. However, if you’re willing to challenge yourself and learn, our experienced instructors will be there to support you every step of the way.

Our Integrated Learning Programs are divided into three levels – Foundations, Intermediate, and Advanced – with a free bridge course covering mathematical pre-requisites and programming fundamentals. After completing each level, students can decide whether to enrol for the next level or not. Our certificate courses and Fast-Track Course are standalone programs

The duration of our courses varies depending on the program and format. Weekday batches will have shorter course durations compared to weekend batches due to the difference in the number of sessions per week. However, the total number of hours for each program is fixed and outlined in the curriculum.

Our classes will be conducted in a hybrid mode, meaning that students can choose to attend either online or offline, depending on their preference. We understand the importance of flexibility, and we strive to provide our students with the option that works best for them. This allows students to learn at their own pace while also receiving hands-on guidance and support from our experienced instructors.

At GraduDATA, we believe in hands-on learning and real-world applications. Therefore, our curriculum includes a variety of assignments that cover different aspects of data science, machine learning, and analytics. These assignments are designed to give you practical experience in working with real datasets and implementing various techniques and algorithms. Additionally, we conduct assignment discussion sessions periodically to support you throughout the program to ensure that you gain a comprehensive understanding of the concepts and techniques involved.

Yes, the completion of assignments is mandatory to receive the course completion certificate. Assignments are an essential part of the course, designed to help you apply the concepts you learn in a practical setting. They also provide an opportunity to practice and reinforce the skills you have acquired during the course. Additionally, completing assignments will help you better prepare for data science interviews and increase your chances of success in your future data science endeavor’s.

We understand that some students may face challenges in understanding certain concepts or topics and we are committed to providing our students with the support they need to succeed. In such cases, we offer additional support through group doubt-clearing sessions, online forums, email and group chat on a messaging app. Our instructors are also available to address any queries or concerns and provide clarification on course material during class or via email. Additionally, we provide access to additional practice problems, supplementary study materials and resources to help students reinforce their learning and overcome any difficulties they may encounter. We believe in fostering a supportive learning environment and encourage our students to reach out for help whenever needed

Yes, students will have access to all course materials and lecture recordings for a period of 1 year after
completion of the course.

We understand that finding a job after completing the program is a top priority. We believe that success comes from a combination of strong technical skills and a professional network. While we cannot promise job placement, we will do everything in our power to help you build both of these things and we are committed to providing you with career-focused resources and support to help you achieve your goals. We do provide assistance with resume writing, interview preparation, and networking. Additionally, we are trying to connect with several local companies who are actively seeking data science talent, and we will share job postings and other relevant opportunities with our students. While job placement is ultimately up to the individual, we are dedicated to providing our students with the resources and guidance to help you navigate the job search process.

We understand that the cost of education can be a concern for many students. At GraduDATA, we believe that quality education should be accessible to everyone, and we strive to make our programs as affordable as possible. While we do not offer traditional scholarships or financial aid options, we have designed our course fee structure to be flexible and manageable for our students. We do have a level-wise payment plan that allows students to pay for each level of the course separately and there is no need to pay all fees upfront. This allows them to pace their learning and manage their finances effectively. Please contact our admissions team for more information on our fee structure and payment options.

To apply for our course, interested students are required to go through a screening test. To take the test, simply contact our admissions team directly and we will provide you with the necessary details. Once you have passed the test, we will provide you with further information on how to enrol in the course.

Yes! At GraduDATA, we want to ensure that every student who enrols in our program has the potential and
aptitude to learn data science. That’s why we require a screening test before admitting students into our
courses. Additionally, the screening test helps our instructors understand the needs of each individual student,
and they can tailor the course content and pace accordingly. Overall, we believe that this test is essential for
us to provide the best learning experience and help you succeed in your data science journey.

The screening test is designed to assess your high school math skills and analytical mindset. It is not a test of your current knowledge of data science, but rather a way for us to gauge your learning capabilities.

The passing score for the screening test is 50% for our data science course and 25% for our data analytics course.

Yes, you may retake the screening test once if you fail to pass it on your first attempt.

Yes, we offer certificates of completion for all our courses. These certificates are a testament to your newfound skills and knowledge and can be a valuable addition to your resume. To be eligible for a certificate, you must complete all the required coursework and assignments. Upon completion, you will receive a digital certificate that can be easily shared with prospective employers or added to your LinkedIn profile. (Please note that this is not an evaluation or exam-based certificate, but rather a recognition of your completion of the course requirements. Also note that for our multi-level courses, a course completion certificate will only be issued upon successful completion of all levels. If a student completes only a single level, we do not offer a course completion certificate for that level.)