Analytics Jobs is dedicated to recognizing and celebrating excellence in the dynamic fields of data science and technology. Through our platform, we proudly issue rankings and awards to both institutions and professionals who have made remarkable contributions to these domains.
Analytics Jobs recognizes excellence in data science and technology through rankings and awards for institutions and professionals. Our mission is to foster recognition and appreciation for outstanding achievements in these fields, which play a critical role in shaping industries and society. Our rigorous system evaluates programs, faculty, infrastructure, and contributions to honour those who stand out. Our rankings highlight top data science institutes that prepare the next generation. We also celebrate individual professionals for their exceptional skills, innovation, and impact in data science and tech.
Here are the list of our Awards & Rankings for Academic Year 2023-24
We are pleased to announce the launch of a new award, the “Top Data Science Institutions in India 2023-24”. This is an excellent opportunity for institutions to showcase their exceptional work in the field of data science education. The ranking of each institution will be determined by various important factors, such as:
Course Duration: We have chosen to include programs with a minimum duration of six months. This decision aligns with our belief at Analytics Jobs that becoming a proficient data scientist typically requires at least six months of dedicated study and practice.
Mode of Training: Our rankings encompass courses offered in various modes, including online, classroom, and blended learning. Notably, programs offering a blended learning approach are given higher rankings, as they often provide a more comprehensive and flexible learning experience.
Course Content: We place significant emphasis on the quality and comprehensiveness of course content. This evaluation considers the tools taught, the total number of live and pre-recorded class hours, the effectiveness of query resolution, the inclusion of industry projects, the presence of capstone projects, and various other critical factors that contribute to the overall learning experience.
Quality of Trainers and Mentors: The expertise and guidance provided by instructors and mentors are pivotal in shaping the education of data science aspirants. To gauge this, we categorize institutions based on the number of trainers holding PhDs. Additionally, for mentors, we assess their industry experience and track record in deploying projects across diverse sectors and market segments, particularly in machine learning, data science, deep learning, and artificial intelligence.
Internship and Placements: Bridging the gap between classroom learning and industry expectations is crucial. Therefore, we prioritize institutions and data science programs that integrate internships into their curriculum. Additionally, we consider the final placements achieved by graduates, as this reflects an institution’s success in helping students enter the professional data science field.
Return on Investment (ROI): In our ranking process, we carefully consider the return on investment offered by each program. We believe that the value of a data science program is closely tied to the skills it imparts to students and the subsequent opportunities it provides for their careers.
Ultimately, our rankings aim to provide valuable insights for individuals seeking data science education by considering the duration, training modes, course content, quality of trainers and mentors, internship opportunities, and ROI. Our primary goal is to assist aspiring data scientists in making informed decisions about their educational journey, ensuring they receive the best possible preparation for a rewarding career in the field.
Whether you are currently studying data science or have already completed your studies, we invite you to participate in this survey and provide feedback on your institute.