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Top 10 Data Science Training Institutes In India- Ranking 2019

Top 10 Data Science Training Institutes In India- Ranking 2019

  • Jigsaw Academy
  • AnalytixLabs
  • Simplilearn
  • IMS Proschool
  • Edvancer
  • Imarticus Learning
  • Edureka
  • Nikhil Analytics
  • Ivy Professional School
  • Inventateq


Our annual ranking on analytics and data science training institute aims to highlight the best providers of analytics training in India. The ranking is concluded after an in-depth analysis and a detailed process of vetting through various training institutes in India. We reached out to more than 25 training institutes to get their inputs on the various parameters such as course content, faculty, student experience and other determining factors such as external collaborations. Each of these parameters has been rated from 0-5, where 0 is for worst and 5 is for the best.

The inputs were taken by circulating a Google form and the eligibility criteria for participation were: 1) It should have multiple programs in analytics/data science and 2) Flagship program should be a long duration (more than 5 months). The institutes that are not listed here either did not participate or could not qualify the ranking process. 



This ranking is a result of the extensive in-house analysis, inputs from faculties and industry experts and conducting a survey where we took inputs from data science enthusiasts who have already taken these courses. 

Here is our last year’s ranking.

1| Jigsaw Academy

  • Year Of Inception: 2011
  • Cities Of Operation: Bengaluru, Delhi NCR, Hyderabad, Online 
  • Mode Of Delivery: Blended (Online + Classroom)

Founded by Gaurav Vohra and Sarita Digumarti in 2011, they were brought together by their shared passion for data and their belief in the power of analytics and big data to change the way, not just industries, but individuals could work. They regard data science as a necessary life-skills, and their constant endeavour to improve how it is taught has been a consistent factor in what continues to distinguish Jigsaw Academy from other training providers.

Parameter 1: Course Content (4.8)

  • Comprehensiveness: The courses at Jigsaw are aimed at providing high-level exposure in the field of study. There are in-depth sessions on data science concepts such as Python, statistics, data analysis, data scraping, machine learning and more. They also cover domain-specific areas such as banking analytics, marketing analytics, and more. 
  • Capstone Project: More than 3 months 
  • Frequency Of Course Updation:Frequently: Every 6 months
  • Accessing Students At The End Of The Course: There is a thorough assessment throughout the program, where 50% is internal assessment and the other 50% is in the form of term-end examination. The answer scripts are evaluated by a competent faculty independently under the supervision of Registrar – Evaluation, Manipal Academy of Higher Education, Manipal. There is also an evaluation done on the basis of projects and internships. 
  • Learning Resources: LMS & Online Webinars

Parameter 2: Faculty (4.8)

  • Total Number Of Faculty Members:  7
  • Faculty With PhD: 2
  • Faculty With Industry Experience: 7
  • Student To Faculty Ratio: 20:1

Parameter 3: Student Experience (4.9)

  • Percentage Of Students Who Complete The Course: 100%
  • Post Completion Engagement: They provide placement support and alumni network to those who successfully complete the course. 
  • Placement Assistance: Guaranteed job placement on successful course completion.

Parameter 4: Other Determining Factors (4.8)

  • Entry Criteria For Students: Interview 
  • External Collaboration: Academy has tie-ups with the industries for content support in the specialized fields. The academy also engages with external practitioners to deliver niche subjects in the field of data science.

The overall rating is 4.82


2| AnalytixLabs

  • Year Of Inception: 2011
  • Cities Of Operation: Bengaluru, Delhi NCR, Global through instructor-led online and e-learning mode
  • Mode Of Delivery: Blended (Online + Classroom)

AnalytixLabs is a pioneer and a leading name in the Edutech Industry. It has a reputation of providing high-quality training solutions since 2011 and has been honing talents true to its established mission statement. They are led by a team of McKinsey, IIM, ISB, FMS and IIT alumni having rich industry experience. 

Parameter 1: Course Content (4.8)

  • Comprehensiveness: Courses are meticulously designed and crafted to cater to the requirements of various analytics job roles. Each of our course is further divided into modules which are supplemented with assignments and real-life project work for experiential learning.
  • Capstone Project: More than 3 months 
  • Frequency Of Course Updation: Frequently after every 6 months
  • Accessing Students At The End Of The Course: The students are assessed based on case studies, testing students conceptually as well as practical knowledge. Personal interview sessions are also conducted as the last stage. 
  • Learning Resources: Highly interactive and automated online learning management system with access to course-ware, reference material, classroom recordings and discussion forum. 

Parameter 2: Faculty (4.7)

  • Total Number Of Faculty Members: 17
  • Faculty With PhD: 2
  • Faculty With Industry Experience: 17
  • Student To Faculty Ratio: 35:1

Parameter 3: Student Experience (4.7)

  • Percentage Of Students Who Complete The Course: 80%
  • Post Completion engagement: They provide assistance on profile building and career guidance post successful completion of course. They also have access to the online learning management system. 
  • Placement Assistance: The institute provides support and engagement from their connections at various organisations and HR consultants. 

Parameter 4: Other Determining Factors (4.8)

  • Entry Criteria For Students: They profile students based on education background (STEM or non STEM) and work experience, and then a suitable course is suggested accordingly. 
  • External Collaboration: One of their biggest collaborations is with Asean Data Analytics Exchange, Malaysia which is recognized with the HR Ministry of Malaysia.

The overall rating is 4.75.


3| Simplilearn

  • Year Of Inception: 2010
  • Cities Of Operation: Mumbai, Bengaluru, Delhi NCR, Hyderabad, Pune
  • Mode Of Delivery: Online (Instructor-led)

Simplilearn provides outcome-based online training across digital technologies and applications such as big data, machine learning, AI, cloud computing, cybersecurity and others. So far, Simplilearn has helped more than one million professionals and 1,000 companies across 150 countries get trained, acquire certifications and reach their business and career goals. 

Parameter 1: Course Content (4.6)

  • Comprehensiveness: The course exposes to key concepts and tools from Python to machine learning and more. It exposes to hands-on labs and project work to help clear the concepts. The program is co-developed by Purdue University and IBM that equips learners with required skills. Learners get to use a combination of self-paced videos and live virtual classes. 
  • Capstone Project: Less than 3 months 
  • Frequency Of Course Updation: It is updated frequently after every 6 months
  • Accessing Students At The End Of The Course: Attendance and capstone projects play a crucial role in accessing students. The project is the final step in the learning path, based on which also the learners are assessed. 
  • Learning Resources: Self-paced videos, live virtual classes, LMS and online webinars, 24/7 teaching assistance, practice labs, applied industry-oriented projects, community forums, industry guest lectures

Parameter 2: Faculty (4.8)

  • Total number of faculty members: 10
  • Faculty With PhD:
  • Faculty With Industry Experience: 10
  • Student To Faculty Ratio: 20:1

Parameter 3: Student Experience (4.6)

  • Percentage Of Students Who Complete The Course: 60
  • Post Completion Engagement: They have a dedicated team that connects with the learners to understand the impact the program has created for them. They also offer JobAssist program in partnership with IIMJobs.com. Learners are eligible to apply for this program upon successful completion of the course. 
  • Placement Assistance: They provide IIMJobs pro-membership for 6 months, resume building assistance, career mentoring, interview preparation, career fairs

Parameter 4: Other Determining Factors (4.7)

  • Entry Criteria For Students: Anyone with a technical background can apply
  • External Collaboration: This program is co-developed with Purdue University and in partnership with IBM. It includes Purdue’s academic excellence and IBM’s content, tools and certification. Program graduates receive several highly prized certifications and will be granted Purdue University alumni status. 

The overall rating is 4.67.


4| IMS Proschool

  • Year Of Inception: 2014
  • Cities Of Operation: Mumbai, Bengaluru, Delhi NCR, Chennai, Hyderabad, Pune, Kochi
  • Mode Of Delivery: Blended (Online + Classroom)

IMS has been building a long-term successful career for its students since 1977. It has emerged as the fourth most trusted education brands in AC Nielsen and Brand Equity Survey. Their approach is to help individuals realise their potential by mentoring and imparting skills.

Parameter 1: Course Content (4.5)

  • Comprehensiveness: The flagship program by Proschool is divided into three modules  — business analytics, advanced ML and AI, data tools and projects. Topics that are collectively covered in these modules are regression, forecasting, data mining techniques like clustering, TensorFlow, recommender system, neural networks, Microsoft Azure, and more. 
  • Capstone Project: Less than 3 months 
  • Frequency Of Course Updation: It is updated frequently every 6 months
  • Accessing Students At The End Of The Course: Proschool has introduced an innovative “Active Learning” method for teaching data science where students get the awareness of concepts by watching pre-recorded lectures and solving problem statement in class. The student is not moved to the next course or level until they get a full understanding of the concepts. 
  • Learning Resources: LMS & Online Webinars

Parameter 2: Faculty (4.6)

  • Total Number Of Faculty Members: 50
  • Faculty With PhD: 2
  • Faculty With Industry Experience: 48
  • Student To Faculty Ratio: 20:1

Parameter 3: Student Experience (4.6)

  • Percentage Of Students Who Complete The Course: 70%
  • Post Completion Engagement: Students get an alumina status of IMS Proschool which includes benefits such as placement assistance, mock interviews, resume building etc. They also regularly conduct workshops and seminars on the latest technologies and organises meet-ups with industry experts. 
  • Placement Assistance: Proschool provides placement assistance to the candidates who successfully complete the program. They also help candidates in resume building & interview preparation.

Parameter 4: Other Determining Factors (4.5)

  • Entry Criteria For Students: Subject to clearing any Entrance exam
  • External Collaboration: They have collaborated with MSTB Govt. of Maharashtra, NSE Academy for certification, National Skill Development Corporation (NSDC) and academic collaboration with institutions such as ST Joseph (Bengaluru), Loyola College (Chennai),  Symbiosis college (Pune) MMCC College (Pune).

The overall rating is 4.55.


5| Edvancer

  • Year Of Inception: 2013
  • Cities Of Operation: Mumbai, Delhi NCR, Hyderabad, online 
  • Mode Of Delivery: Blended (Online + Classroom)

Edvancer is one of India’s leading data science training institutes, providing training in analytics, data science, machine learning, AI & big data globally. It has trained over 10,000 professionals in 25 countries in these areas. It is an IIM-IIT-ISI alumni venture for building capabilities in data science & AI and works with over 75 leading corporates including Fortune 100 companies.

Parameter 1: Course Content (4.4)

  • Comprehensiveness: The course covers everything from predictive analytics, machine learning, deep learning, big data development and data visualization in tools like R, Python, Tensorflow, Keras, Tableau, Hadoop, Spark and SQL.
  • Capstone Project: More than 3 months duration
  • Frequency Of Course Updation: It is updated every 6 months
  • Accessing Students At The End Of The Course: There is project-based assessment plus final exams where learners have to work on 10 different projects based on which they are assessed. TCS iON conducts a final exam and provides the TCS iON Procert.
  • Learning Resources: Books, videos, downloadable resources, hands-on coding and projects, LMS, online webinars, guest lectures, event. 

Parameter 2: Faculty (4.5)

  • Total Number Of Faculty Members: 40
  • Faculty With PhD: 12
  • Faculty With Industry Experience: 40
  • Student To Faculty Ratio: 15:1

Parameter 3: Student Experience (4.5)

  • Percentage Of Students Who Complete The Course: 90%
  • Post Completion Engagement: Webinars, hands-on industry projects, walk-throughs by experts, hackathons, resume building, mock interviews, organising interviews at various corporate partners
  • Placement Assistance: Placement assistance with project work, resume design, mock interviews, providing opportunities, scheduling interviews and getting them placed. 

Parameter 4: Other Determining Factors (4.3)

  • Entry Criteria For Students: Subject to clearing any Entrance exam
  • External Collaboration: Edvancer has collaborated with TCS, India’s largest IT company to conduct a final exam through TCS iON and provide Edvancer’s students with the TCS iON Procert certification. It also has partnerships with the University of Petroleum and Energy Studies (UPES) for its new online PG Program in Data Science. Some of the corporate collaborations include Cognizant, HDFC Bank, Fractal Analytics, Genpact, GE Capital, TVS Credit and others.

The overall rating is 4.42.


6| Imarticus Learning

  • Year Of Inception: 2012
  • Cities Of Operation: Mumbai, Bengaluru, Delhi NCR, Chennai, Hyderabad, Pune, Jaipur, Thane, Gurgaon, Hyderabad and Coimbatore
  • Mode Of Delivery: Blended (Online + Classroom)

Imarticus Learning is a leading professional education firm that offers training in financial services and analytics. Aimed at empowering individuals with advanced skills in emerging tech, it aims to train individuals with the required skill-sets through a range of industry-endorsed programs. It has educated more than 30,000 individuals, placing them in firms such as Northern Trust, Wipro, Morgan Stanley, Goldman Sachs, Infosys, Cognizant, Accenture and more. 

Parameter 1: Course Content (4.3)

  • Comprehensiveness: The courses are designed in a way that ensures a high degree of relevance in accordance with the needs and demands of the emerging tech industry. Each concept is taught in a way that transcends through learners. It incorporates 18 industry-relevant projects, case studies, classroom discussions, tests and assignments to help students understand and internalise the critical concepts of this disruptive domain. 
  • Capstone Project: Less than 3 months of duration
  • Frequency Of Course Updation: It is updated frequently after every 6 months
  • Accessing Students At The End Of The Course: Imarticus Learning conducts assessments, projects and quizzes at every step of the program to ensure that students grasp the core concepts. These are followed by a final mock interview which is conducted at the end of the program. 

Parameter 2: Faculty (4.5)

  • Total Number Of Faculty Members: 42
  • Faculty With PhD: 3
  • Faculty With Industry Experience: 42
  • Student To Faculty Ratio: 20:1

Parameter 3: Student Experience (4.3)

  • Percentage Of Students Who Complete The Course: 90%
  • Post Completion Engagement: Students have access the fully integrated state-of-the-art learning management system for three months to help them revise concepts and work on new projects. They also conduct query resolution sessions, up-skilling workshops, guest lectures and alumni meets. 
  • Placement Assistance: Guaranteed job placement on successful course completion.

Parameter 4: Other Determining Factors (4.4)

  • Entry Criteria For Students: The selection is based on clearing any entrance exam
  • External Collaboration: It has collaboration with leading firms such as Kabbage, Convergytics etc. to ensure that the curriculum is timely, relevant and futuristic. It also has alliances with global analytics firms such as Genpact, IBM, DXC Technology among others. 

The overall rating is 4.37.


7| Edureka

  • Year Of Inception: 2011
  • Cities Of Operation: Bengaluru, New Delhi & international reach across 100+ countries through our live, online, instructor-led and self-paced programs
  • Mode Of Delivery: Online (Instructor-led)

Edureka is a global e-learning platform with 200+ courses in trending technologies. They are one of the pioneers of the live, instructor-led learning model, and offer both long and short-term courses supported by online resources and 24×7 lifetime support. They currently boast of a learner community spread across 100+ countries who have one of the highest course completion rates. 

See Also

Parameter 1: Course Content (4.2)

  • Comprehensiveness: Edureka’s courses are structured in a way that ensures an easy transformation into data science roles. The flagship programme by this training institute is an immersive course that covers everything from statistics and programming in Python and R to Apache Spark followed by deep learning in Tensorflow. 
  • Capstone Project: Less than 3 months duration.
  • Frequency Of Course Updation: The course is updated frequently, after every 6 months.
  • Accessing Students At The End Of The Course: Edureka adopts assessments at multiple levels ranging from tests, quizzes and assignments at each module. It also comprises a live, industry-standard project after the completion of the courses within the program. The final assessment is done based on final test and capstone project. 
  • Learning Resources: LMS, recorded video sessions, class recordings, PDFs, presentations, mobile app, downloadable content, blogs, YouTube videos, and community of Experts for discussions.

Parameter 2: Faculty (4.3)

  • Total Number Of Faculty Members: 30
  • Faculty With PhD: 8
  • Faculty With Industry Experience: 30
  • Student To Faculty Ratio: 10.1

Parameter 3: Student Experience (4.2)

  • Percentage Of Students Who Complete The Course: 62%
  • Post Completion Engagement: It provides lifetime access to course including access to upgraded course content without any condition, placement assistance, alumni network and community, lifetime support from the internal team of experts.
  • Placement Assistance: Resume building, interview preparation, mock interviews, access to the alumni network, community discussions, floating of job openings in corporate clients and partner companies in learner groups, referring relevant learners to corporate partners as and when requirements arise

Parameter 4: Other Determining Factors (4.1)

  • Entry Criteria For Students: No criteria
  • External Collaboration: Edureka has hundreds of corporate partners across the globe such as Cisco, TCS, Infosys, VISA, Wipro, KPMG etc. They also team up with educational institutes such as NIT, Warangal and Rourkela and IIT, Guwahati.

The overall rating is 4.20.


8| Nikhil Analytics

  • Year Of Inception: 2012
  • Cities Of Operation: Bengaluru
  • Mode Of Delivery: Blended (Online + Classroom)

Nikhil Analytics envisions to fill the gap of skilled talent in analytics, data science and machine learning and provide best career opportunities for tech enthusiasts. It provides learners with classroom training, workshops, consulting, mentoring sessions and hiring solutions to provide the best learning experience. 

Parameter 1: Course Content (4.1)

  • Comprehensiveness: Data science course consists of hands-on programming using R, Python, SAS, SQL with exposure to NLP, machine learning, deep learning concepts,
  • along with Reporting Tools such as Advanced MS Excel, Tableau. It also covers building and implementation of ML models while providing personalised mentoring sessions.
  • Capstone Project: More than 3 months duration
  • Frequency Of Course Updation: It is updated frequently every 6 months
  • Accessing Students At The End Of The Course: Students have to undergo multiple levels of tests in between the training program which is concluded with a  complete full-length test and projects followed by mock interviews at the end of the course. 
  • Learning Resources: LMS & Online Webinars

Parameter 2: Faculty (4.1)

  • Total Number Of Faculty Members: 10
  • Faculty With PhD: 0
  • Faculty With Industry Experience: 10
  • Student To Faculty Ratio: 10:1

Parameter 3: Student Experience (4.2)

  • Percentage Of Students Who Complete The Course: 90%
  • Post Completion Engagement: Help candidates in getting jobs. Candidates based on performance are offered paid internships and jobs internally as well. 
  • Placement Assistance: Guaranteed job placement on successful course completion

Parameter 4: Other Determining Factors (4.1)

  • Entry Criteria For Students: STEM background must
  • External Collaboration: They conduct various workshops and talks on analytics and data science and have collaborations with Nanyang Technological University (NTU) Singapore for providing training and certifications. 

The overall rating is 4.12.


9| Ivy Professional School

  • Year Of Inception: 2007
  • Cities Of Operation: Mumbai, Bengaluru, Delhi NCR, Kolkata, Pune, Online
  • Mode Of Delivery: Blended (Online + Classroom)

A leader in data science and analytics training & consulting, it has been training the industry since 20017, with more than 18,000 alumni. It has a wide array of data science courses from short-term to UGC-recognized PG and M.Sc. degree programs. It has been able to place its students in organisations such as IBM, GE, KPMG, Deloitte, Moody’s, Infosys etc. 

Parameter 1: Course Content (4.0)

  • Comprehensiveness: The courses by Ivy are designed and used by large data science firms such as Honeywell, Accenture, Genpact, PwC, ICRA, Tata Steel, etc. It covers a wide spectrum of topics from fundamentals to advanced courses. Various topics that it covers are structured problem-solving fundamentals, data manipulation tools, data visualisation tools, big data tools, case studies, research project and more. 
  • Capstone Project: More than 3 months
  • Frequency Of Course Updation: It is updated frequently every 6 months
  • Accessing Students At The End Of The Course: Weekly home cases and graded exercise are conducted. The marks also depend on case studies, module-wise capstone project and research project. 
  • Learning Resources: LMS & Online Webinars

Parameter 2: Faculty (4.1)

  • Total Number Of Faculty Members: 34
  • Faculty With PhD: 8
  • Faculty With Industry Experience: 32
  • Student To Faculty Ratio: 20:1

Parameter 3: Student Experience (4.1)

  • Percentage Of Students Who Complete The Course: 85%
  • Post Completion Engagement: The students are engaged through live industry projects and hackathons, long-term internships, placement drives, mock interviews, webinars, alumni connect and more. 
  • Placement Assistance: Guaranteed job placement on successful course completion

Parameter 4: Other Determining Factors (4.1)

  • Entry Criteria For Students: Subject to clearing any Entrance exam
  • External Collaboration: They collaborate with Big 5 consulting firms, Fortunate 50 firms such as Honeywell, UGC recognised universities to offer degree programs.  

The overall rating is 4.07. 


10| Inventateq

  • Year Of Inception: 2019
  • Cities Of Operation: Bengaluru
  • Mode Of Delivery: Blended (Online + Classroom)

Inventateq provides quality and real-time training courses on big data, DevOps, cloud computing, machine learning, AI, blockchain, salesforce, data science, software testing, and more. The institute has helped many freshers, software engineers and working professionals get placed in noteworthy companies. 

Parameter 1: Course Content (3.8)

  • Comprehensiveness: The courses at Imarticus intensively covers the concepts from introduction to concepts such as deep learning to neural networks and more. It covers topics such as linear algebra, probability, reinforcement learning, TensorFlow, CNN and more. The learning also focuses on use case-based learning giving more exposure to learners. 
  • Capstone Project: More than 3 months 
  • Frequency Of Course Updation: It is updated frequently every 6 months
  • Accessing Students At The End Of The Course: Candidates are evaluated by a series of tests and quizzes. They also conduct mock tests and interviews to prepare the students.
  • Learning Resources: Books

Parameter 2: Faculty (4.2)

  • Total Number Of Faculty Members: 100
  • Faculty With PhD: 50
  • Faculty With Industry Experience: 100
  • Student To Faculty Ratio: 10:1

Parameter 3: Student Experience (4.0)

  • Percentage Of Students Who Complete The Course: 100%
  • Post Completion Engagement: They provide continued assistance for teaching, provide suitable materials, assignments and appropriate communication channels to empower student engagement. 
  • Placement Assistance: Guaranteed job placement on successful course completion.

Parameter 4: Other Determining Factors (3.9)

  • Entry Criteria For Students: No criteria
  • External Collaboration: Inventateq has collaborated with companies such as ThomsonReuters, HCL, Digital Harbor, IMS Health and others. 

The overall rating is 3.97.


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