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The 5 Best Analytics & Data Science Institutes In India



We bring to you the analytics and data science training institute ranking for the year 2019. As a part of the study, we reached out to 20+ institutes that are offering training in the area of new tech.
The key parameters are dependent on which these preparation establishments were positioned contained course content and extensiveness, workforce subtleties, for example, those with Ph.D. or industry experience, understudy experience, for example, post fulfillment commitment. Different parameters included outer joint effort, situation help and that's only the tip of the iceberg.
Every one of these parameters has been positioned on the size of 0–5 where 0 is for most exceedingly terrible and 5 for the best. The foundations that couldn't be a piece of the rundown either did pass on the positioning procedure or couldn't make it to our rundown.




 Founded: 2014
Cities of Operation: All over India
Flagship Analytics Course: Full Stack Data Science Program
Mode of delivery: Online and (Offline Classroom Only Noida City)
Course fees:  80,000 + GST
Datatrained has been key in contributing to the evolution of analytics talent in the country. It has produces over 50,000+ data scientists. They offer training in multiple popular and niche tools such as data science, machine learning, Python, big data and AI technologies. They have a collaboration with the University of Chicago for their program Post-Graduate Program in Data Science & Machine Learning.
Parameter 1: Course Content (Rating 4.8)
Comprehensiveness: The Full Stack programs are aligned to job roles in data science and machine learning, and therefore offer comprehensive coverage of all aspects of data science such as descriptive, predictive, prescriptive with both Statistical and ML algorithms. It also covers tools such as Python, R, SAS, Tableau. The learning the methodology emphasizes hands-on practice on real-life datasets covering multiple domains including Finance, ecommerce, Supply Chain, Healthcare, HR and more. The capstone project duration is 1–3 months whereas the frequency of course updation is every 6 months.
Accessing students: The assessment process includes checking conceptual understanding as well as implementation via multiple case study assignments. They are also assessed by a capstone project where students have to submit a technical as well as a business solution and go through a viva to explain the results.
Learning resources: LMS, downloadable resources including presentations, additional reading material, code samples, datasets
Parameter 2: Faculty (Rating 4.3)
Total no. of faculties: 30
Total no. of faculties with Ph.D.: 8
Total no. of faculties with industry experience: 35
Student to faculty ratio: 25:1
Parameter 3: Student Experience (Rating 4.7)
Percentage of students who complete the course: 80%
Post completion engagement: Placement Guaranteed, alumni network, CV review, mock interviews
Placement assistance: They provide full placement Guaranteed.
Parameter 4: Other Determining Factors (Rating 4.8)
Entry criteria of students: No criteria
External collaboration: Datatrained continuously works with industry Subject Matter Experts and companies to provide datasets for hackathons and contests for students to gain experience certificates, recommendation letters as well as guest lectures on both technical and career-related topics.
The overall rating is 4.65



Founded: 2011
Cities of Operation: Bengaluru, Delhi NCR, Global reach with our interactive online and video-based programs.
Flagship Analytics CourseData Science Specialization with Machine Learning & AI Deep Learning, Business Analytics 360
Mode of delivery: Blended

AnalytixLabs pioneers in high-quality training solutions since 2011 and is led by a team of McKinsey, IIM, ISB and IIT alumni with deep industry experience. They offer a wide array of courses for beginners and experienced professionals. With strong clientèle of MNCs and government organizations, they have also successfully delivered programs both in India and globally.
Parameter 1: Course Content (Rating 4.8)
Comprehensiveness: The the course is compiled by industry experts from companies such as American Express, BlackRock, Cisco, EXL Services, Genpact, and others. Courses are meticulously mapped to cater to the requirements of various job roles and are divided into sub-modules which are followed with assignments and real-life project work for experiential learning. The trainers and mentors constantly guide students towards the approach, they should be adopting when faced with problems at work. It also includes a capstone project of duration 1–3 months and the course is updated frequently every 6 months.
Accessing students: There are three levels of assessments. First is based on case studies, second is internal assessment tools to test conceptual as well as practical knowledge and last of assessment is a personal interview sessions with experts which also helps candidates to prepare for a job interviews.
Learning resources: LMS
Parameter 2: Faculty (Rating 4.1)
Total no. of faculties: 15
Total no. of faculties with Ph.D.: 1
Total no. of faculties with industry experience: 15
Student to faculty ratio: 40:1
Parameter 3: Student Experience (Rating 4.8)
Percentage of students who complete the course: 80%
Post completion engagement: Provide assistance for profile the building, help in interview preparation and mock interviews.
Placement assistance: Full assistance is provided.
Parameter 4: Other Determining Factors (Rating 4.7)
Entry criteria of students: We profile students based on education background, work experience (if any) and the suitable course is suggested accordingly. For certain courses STEM background is mandatory.
External collaboration: Their one of the biggest collaborations is with Asian Data Analytics Exchange, Malaysia. They are also in talks with HR ministry directly to impart training on HR analytics.
The overall rating is 4.60



Founded: 2011
Cities of Operation: Bengaluru, Hyderabad
Flagship Analytics Course: PGP in Big Data Analytics and Optimisation
Mode of delivery: Classroom

INSOFE is helping organizations walk the path of AI through its tailored corporate training programs and consulting engagements. Its curriculum is designed such that it is based on the requirements of the industry and inputs are taken from three key stakeholders i.e. the industry, universities and the fellow practitioners.
Parameter 1: Course Content (Rating 4.6)
Comprehensiveness: INSOFE’s course curriculum is specially designed to meet the industry requirements. It is designed such that, it throws light on both conventional methods as well as cutting edge technology. The 23-week intensive program includes sessions starting from the basics of data analytics and big data spread across tools such as visualization, statistical modeling, machine learning, deep learning, and other important concepts. The capstone project is of duration 1–3 months and the course is updated every 6 months.
Accessing students: INSOFE’s multi-pronged assessment approach ensures that learning is maximized. The assessments test the students’ ability to grasp the terminology through concepts and to apply those concepts in business problem scenarios. These are done throughout the program to gauge their progress continuously. It’s done with the help of “Recall Output Tests (ROTes), Conceptual Understanding Tests (CUTes), Hands-on Lab Tests (HoTs), Mid-term Hackathon (MiTH), Project Hackathon and Defense (Ph.D.), Feedback and Attendance”. Students have to write a project report and defend it.
Learning resources: LMS
Parameter 2: Faculty (Rating 4.9)
Total no. of faculties: 17
Total no. of faculties with Ph.D.: 17
Total no. of faculties with industry experience: 17
Student to faculty ratio: 12: 1
Parameter 3: Student Experience (Rating 4.4)
Percentage of students who complete the course: 96%
Post completion engagement: There are alumni meets, alumni knowledge sessions, extended career support, access to recorded video lectures post-course completion and guidance for higher education opportunities
Placement assistance: Students are provided full assistance
Parameter 4: Other Determining Factors (Rating 4.4)
Entry criteria of students: Entrance exam
External collaboration: INSOFE has entered into an academic MOU with Rennes School of Business, France, (RSB) which allows graduates of INSOFE’s PGP in Big Data Analytics certification program to progress directly into the 2nd Semester of RSB’s MSc in Data and Business Analytics (full-time) program. The students graduate in France and benefit from all existing visa policies of the French government. The MoU also facilitates faculty from RSB to teach at INSOFE campuses in Hyderabad and Bengaluru.
The overall rating is 4.58.




Founded: 2010
Cities of Operation: Mumbai, Bengaluru, Delhi NCR, Chennai, Hyderabad, Pune, Kochi
Flagship Analytics Course: Business Analytics and Data Science Course
Mode of delivery: Blended

Course fees:  50000 to 1 LacIMS Proschool is an Initiative of IMS Learning Resources. Preschool in partnership with NSDC — National Skill Development Corporation offers various career-oriented and skill enhancement programs including Maharashtra Government’s MSTB approved Postgraduate Diploma in Data Science and NSE Academy Certification course in Business Analytics across 9 cities in India.
Parameter 1: Course Content (Rating 4.5)
Comprehensiveness: The the course covers various analytical tools such as R, SAS, Hadoop, Python, Tableau, advanced analytics, text analytics, machine learning, marketing analytics and more. The course includes mentoring from data scientists from companies such as Mckinsey, Deloitte, Mu Sigma, Google, PWC, etc. Apart from the capstone project which is of duration 1–3 months, there is access to additional live projects from startups, and workshop on tools such as Azure, Amazon AWS, IBM Watson, Power BI etc.
Accessing students: Before the completion of the course, students have to submit the assignments on all the topics. After the completion of the training program, students have to submit the capstone project & complete the term end exam. The expert faculty evaluates the capstone project through Viva. In the term end exam, students have to solve a business problem using tools like R or Python to demonstrate their understanding of the course.
Learning resources: LMS
Parameter 2: Faculty (Rating 4.3)
Total no. of faculties: 50
Total no. of faculties with Ph.D.: 0
Total no. of faculties with industry experience: 50
Student to faculty ratio: 20:1
Parameter 3: Student Experience (Rating 4.5)
Percentage of students who complete the course: 50%
Post completion engagement: Workshop on career guidance, CV the building, interview preparation, updates on the latest technologies and additional capstone projects.
Placement assistance: Partial assistance
Parameter 4: Other Determining Factors (Rating 4.5)
Entry criteria of students: Industry experience or STEM background required
External collaboration: They have external collaboration with National Skill Development Corporation, an initiative of Govt. of India, NSE Academy, an initiative of National Stock Exchange, Praxis School, Pi R Square.
The overall rating is 4.45.



Founded: 2016
Cities of Operation: Hyderabad, Online, hence all cities
Flagship Analytics Course: 6 Month Certificate Programme in Data Science
Mode of delivery: Online

The institute aims to address the challenges in the industry and empower professionals through their transformational courses in Big Data and Data Science. It is helping the tech industry worldwide to address the problem of shortage of skilled workers in the fields of Big Data & Analytics. The course is designed by industry experts which integrated real-world hands-on training with case studies and projects using datasets from companies like Amazon, Barclays, Nike, Yelp, Walmart, Netflix, etc.
Parameter 1: Course Content (Rating 4.6)
Comprehensiveness: It is a one-of-a-kind program- which helps in becoming a Full Stack Data Scientist in a span of 6 months. The course includes advanced concepts such as NLP using Deep Learning, and basic concepts such as Python, Statistics, Machine Learning and Tableau. The capstone project is of duration 1–3 months and the frequency of course, updation is every 6 months.
Accessing students: After candidates clear the CASE base examination, they earn certification from Tech Mahindra. The industry-recognized certification boosts prospects and adds value to their CVs.
Learning resources: LMS, e-books, in-house case studies, articles
Parameter 2: Faculty (Rating 4.5)
Total no. of faculties: 29
Total no. of faculties with Ph.D.: 3
Total no. of faculties with industry experience: 29
Student to faculty ratio: 45:1
Parameter 3: Student Experience (Rating 4.5)
Percentage of students who complete the course: 83%
Post completion engagement: Bootcamps, master classes, career mentoring sessions, resume building sessions
Placement assistance: Guiding the candidates for employment, conduct industry immersion sessions, bring people from the industry to interact with students. Whenever organizations have any requirements, they float these job descriptions in the student community.
Parameter 4: Other Determining Factors (Rating 4.2)
Entry criteria of students: No criteria
External collaboration: UpX academy is powered by an IT major Tech Mahindra.
The overall rating is 4.44.

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