Top 5 Analytics / Data Science Training Institutes In India- Ranking 2019

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. We sent out a Google form to the participants that were sorted for eligibility based on these two criteria: 1) They should have multiple programs in analytics and data science, 2) The flagship program not to be a long duration.

The key parameters based on which these training institutes were ranked comprised of course content & comprehensiveness, faculty details such as those with PhD or industry experience, student experience such as post completion engagement. Other parameters included external collaboration, placement assistance and more.

Each of these parameters have been ranked on the scale of 0–5 where 0 is for worst and 5 for best. The institutes that could not be a part of the list either did not participate in the ranking process or could not make it to our list.

1. Bygrad

Founded: 2016

Cities of Operation: All over India

Flagship Analytics Course: Data Science PG Program

Mode of delivery: Online and (Offline Classroom Only Noida City)

Course fees: ₹ 99,000 + GST

Bygrad 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, KPMG, IBM for their programme 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 methodology emphasises 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 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 capstone project where students have to submit a technical as well as a business solution and go through a viva to explain 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 PhD: 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: Bygrad 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

2. AnalytixLabs

Founded: 2011

Cities of Operation: Bengaluru, Delhi NCR, Global reach with our interactive online and video based programs.

Flagship Analytics Course: Data Science Specialization with Machine Learning & AI Deep Learning, Business Analytics 360

Mode of delivery: Blended

**Course fees:** ₹ 48,000 + taxes

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 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 is divided in 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 problems at work. It also includes capstone project of duration 1–3 months and 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 personal interview sessions with experts which also helps candidates to prepare for job interviews.

Learning resources: LMS

Parameter 2: Faculty (Rating 4.1)

Total no. of faculties: 15

Total no. of faculties with PhD: 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 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 suitable course is suggested accordingly. For certain courses STEM background is mandatory.

External collaboration: Their one of the biggest collaborations is with Asean 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

3. INSOFE (International School of Engineering)

Founded: 2011

Cities of Operation: Bengaluru, Hyderabad

Flagship Analytics Course: PGP in Big Data Analytics and Optimisation

Mode of delivery: Classroom

**Course fees:** ₹ 3.5 Lacs + GST

INSOFE is helping organisations 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 modelling, machine learning, deep learning and other important concepts. The capstone project is of duration 1–3 months and course is updated every 6 months.

Accessing students: INSOFE’s multi-pronged assessment approach ensures that learning is maximised. 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 (PHD), 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 PhD: 17

Total no. of faculties with industry experience: 17

Student to faculty ration: 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.

4. IMS Proschool Pvt Ltd.

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 Lac

IMS Proschool is an Initiative of IMS Learning Resources. Proschool 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 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 capstone project which is of duration 1–3 months, there is an 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. Expert faculty evaluates the capstone project through Viva. In the term end exam, students have to solve 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 PhD: 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 building, interview preparation, updates on 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.

5. UpX Academy

Founded: 2016

Cities of Operation: Hyderabad, Online, hence all cities

Flagship Analytics Course: 6 Month Certificate Programme in Data Science

Mode of delivery: Online

**Course fees:** ₹ 80,000

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 a certification from Tech Mahindra. The industry-recognised certification boosts prospects and add 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 PhD: 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 organisations have any requirements, they float these job descriptions in 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.