Top 10 Full-Time Data Science Courses In India &#8211; Ranking 2019
Check our Latest Rankings for 2020 The annual ranking on full-time analytics and data science course takes a low down on the popular courses in India offered by Indian universities and training institutes. The ranking is an in-depth analysis of various parameters these full-time courses offer. Some of the parameters that we consider are course content, faculty, student experience and other determining factors such as external collaborations. Some of the other factors that are considered while carrying out the ranking process are opinions from the industry, students, academics and a survey which was floated to get popular opinions from learners. Each parameter has been rated from 0-5, where 0 is for worst and 5 is for the best. The inputs for the courses were taken by circulating a Google form and the eligibility criteria for participation were: 1) It should be a long-term full-time program (duration of more than 6 months and 2) The course should be provided by the institute/university. Check all our Academic Rankings. 1| Post-Graduate Diploma in Business Analytics Jointly offered By IIM Calcutta, ISI Kolkata, IIT Kharagpur Year Of Inception: 2015Cities Of Operation: Kolkata, KharagpurType Of Full-Time Program: Full-Time Weekdays programDuration Of The Program: 24 months (18 months of classroom 6 months of internship)Total Number Of Learning Hours: 1800Course Fees: ₹ 20 Lakh IIM Calcutta was established as the first national institute for Post-Graduate studies and Research in Management by the Government of India in November 1961. The Indian Statistical Institute (ISI) is a globally reputed institution devoted to the research, teaching and application of statistics, natural sciences and social sciences. IIT Kharagpur is widely recognized for spearheading new standards in engineering education and making significant contributions in national development. Parameter 1: Course Content (4.9) Comprehensiveness: Students visit the three institutions – ISI, IIT Kharagpur and IIM Calcutta. ISI brings its expertise in statistical and machine learning theories for analytics, and faculty at IIT Kharagpur engage with the technical aspects of analytics. It also requires students to do an internship of six months on an analytics project in a business organization.Capstone Project/Internships: More than 3 monthsFrequency Of Course Updation: Frequently: Every new batchAssessing Students At The End Of The Course: The students are assessed through both academics and industry exposure. In the academic context, apart from the conventional mid-term and end-term exams, students are required to submit group and individual projects in courses such as financial reporting and analysis, contemporary business analytics, inferential statistics, statistical structures in data, and others. Outside of the course work, students participate in hackathons and coding competitions organised by various corporates and reputed institutions. Students’ performance during the 6-month industry internship in the final semester is evaluated by both the organisation and the three institutes, providing a well-rounded assessment.Learning Resources: Books, videos & downloadable resources, LMS & online webinars, organize industry guest lectures, analytics events, hands-on coding and projects, access to educational platforms such as datacamp, library, etc. Parameter 2: Faculty (4.9) Total Number Of Faculty Members: 351Faculty With PhD (Completed):  339Percentage Of Faculty With Industry Experience: 53% Parameter 3: Student Experience (4.9) Percentage Of Students Who Complete The Course: 100%Post Completion Engagement: Lectures and workshops from the alumnus to help current students to gain perspective about industry standards and demands. The graduated students are always welcomed back for any sort of assistance required. They sometimes are responsible for bringing new companies for placements.Placement Assistance: Guaranteed job placement with corporate, assistance through an alumni network, resume designing and sharing with job consultants, career counselling and mock interviews, fully student organised placements Parameter 4: Other Determining Factors (4.9) Entry Criteria Of Students: Based on entrance exam scores along with industry experience and academic achievements. Candidates are called for interviews on the basis of their cumulative score. External Collaboration: In the orientation week, new students are greeted with talks by top analytics executives at companies like Adobe, PwC, Aditya Birla Finance and ITC. Organisations such as Western Digital, EY, NPCI and more, also connect to students through workshops, competitions and lectures. It provides 6-month internship as part of the curriculum with industry partners such as Amazon, JP Morgan, DEShaw, Johnson & Johnson, Gartner, PwC US Advisory, Barclays, MasterCard, AB InBev. The overall rating is 4.90. 2| Postgraduate Diploma in Data Science (Full-time) with MAHE by Jigsaw Academy Year Of Inception: 2011Cities Of Operation: Bengaluru, HyderabadType Of Full-Time Program: Full-Time Weekdays programDuration Of The Program: 11 Months Total Number Of Learning Hours: 690 hours Course Fees: ₹ 4.95 Lakh + GST (without hostel); ₹ 6.15 Lakh + GST (with hostel) Started by Gaurav Vohra and Sarita Digumarti, they bring together 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 it is their constant endeavour to improve how it is taught. Parameter 1: Course Content (4.8) Comprehensiveness: This course covers a deep foundation of subjects like programming for data science in Python, statistics, database management system, data analysis, data visualization, etc. It provides in-depth knowledge on subjects like data scraping, machine learning, big data analytics and more. Capstone Project/Internships: More than 3 monthsFrequency Of Course Updation: Frequently, every new batchAssessing Students At The End Of The Course: There is a thorough assessment throughout the program, 50% of which is internal assessment and the other 50% is in the form of term-end examination. There is also an evaluation in terms of project work and internship. Learning Resources: Books, videos & downloadable resources, LMS & online webinars, industry guest lectures, events, hands-on coding and projects. Parameter 2: Faculty (4.7) Total Number Of Faculty Members: 7Faculty With PhD (Completed): 2Percentage Of Faculty With Industry Experience: 100% Parameter 3: Student Experience (4.8) Percentage Of Students Who Complete The Course: 100%Post Completion Engagement: Placement support, alumni networkingPlacement Assistance: Guaranteed job placement with the corporate, job interview with hiring partner, assistance through an alumni network, resume designing, career counselling and mock interviews. Parameter 4: Other Determining Factors (4.8) Entry Criteria Of Students: Entrance examExternal Collaboration: Seminars, guest lectures, workshops, & hackathon are arranged for students with the support of industry experts. There are also tie-ups with the industry for content support. The overall rating is 4.77. 3| PG Program In Data Science By Praxis Business School Year Of Inception: 2007Cities Of Operation: Bengaluru, KolkataType Of Full-Time Program: Full-Time Weekdays programDuration Of The Program: 9 months Full TimeTotal Number Of Learning Hours: 520Course Fees: ₹ 5.95 Lakh Praxis is one of the early providers of training in analytics and has been creating industry-ready analytics professionals. It was one of the first institutes to introduce the one-year full-time analytics program in the country in 2011. The program has grown in strength in the three areas of student number and quality, curriculum coverage and relevance and industry acceptance. Parameter 1: Course Content (4.8) Comprehensiveness: The Course aims at equipping students with the tools, techniques and skills to enable a seamless absorption into the analytics domain. It provides a wide range of technical skills such as Python, R, SAS, SQL, Hadoop, Spark, MongoDB, analytical skills such as statistics, data mining, machine learning, deep learning, NLP techniques and applying analytics to business situations through use cases in various industries. Capstone Project/Internships: More than 3 monthsFrequency Of Course Updation: Frequently, every new batchAssessing Students At The End Of The Course: The Students go through a total of 50 credits worth of training and evaluation spread over 15 to 18 courses. Each course has quizzes, assignments, midterm, end-term examinations and projects as assessment components. The weighted average of the grade points across all courses will constitute the Cumulative Quality Points Index (CQPI). The students need to score a minimum of 4.00 on a scale of 8.00 to qualify for certification.Learning Resources: Books, videos & downloadable resources, LMS & online webinars, guest lectures, events in-campus, hands-on coding and projects. Parameter 2: Faculty (4.8) Total Number Of Faculty Members: 32Faculty With PhD (Completed): 6Percentage Of Faculty With Industry Experience: 92% Parameter 3: Student Experience (4.6) Percentage Of Students Who Complete The Course: 96%Post Completion Engagement: More than 80% of the students manage to convert jobs prior to completion of the programPlacement Assistance: Guaranteed job placement with the corporate, job interview with hiring partner, assistance through an alumni network, resume designing and sharing with Job consultants, career counselling and mock interviews, sponsor students to attend industry event/conference to network for industry peers. Parameter 4: Other Determining Factors (4.6) Entry Criteria Of Students: Minimum 60% in class X, XII and graduation. Written aptitude test followed by personal interview. Work experience and STEM background preferred but not compulsoryExternal Collaboration: There is considerable participation of the industry in the design and delivery of the analytics program at Praxis Business School. The program is co-created and co-delivered with Knowledge Support from PwC and ICICI Bank. The overall rating is 4.70. 4| Post-Graduate Program in Data Science and Engineering (PGP – DSE) By Great Learning Year Of Inception: 2013Cities Of Operation: Mumbai, Bengaluru, Delhi NCR, Chennai, Hyderabad, PuneType Of Full-Time Program: Full-Time Weekdays programDuration Of The Program: 5 monthsTotal Number Of Learning Hours: 400Course Fees: ₹ 3.5 Lakh Great Learning provides career critical competencies such as analytics, data science, ML, AI, cloud computing, and more. Its industry-relevant programs and learning experiences help candidates learn, apply and demonstrate capabilities in these high-growth areas. Parameter 1: Course Content (4.7) Comprehensiveness: The program is designed as an intensive Boot-Camp format and has been engineered to build great theoretical foundations as well as practitioner’s skills. Over 70% of classroom teaching hours are devoted to hands-on through in-class faculty-led lab sessions. It includes problem-solving with real-time use cases. Some of the topics covered are Python, SQL, Tableau, Machine Learning (Regressions, Classification, Decision Trees, Ensemble Techniques, Random Forest, Clustering, KNN, Naïve Bayes, Time Series Forecasting) and more. Capstone Project/Internships: Less than 3 monthsFrequency Of Course Updation: Frequently, every new batchAssessing Students At The End Of The Course: The program has rigorous assessments measuring various aspects of learning throughout the course of the program. It includes quizzes, class presentations, code reviews, projects, lab exercises, exams, Hackathons, class participation, Capstone project etc.Learning Resources: Books, videos & downloadable resources, LMS & online webinars, organize industry guest lectures, events, hands-on coding and projects, mentoring sessions with industry experts. Parameter 2: Faculty (4.8) Total Number Of Faculty Members: 280Faculty With PhD (Completed): 43Percentage Of Faculty With Industry Experience: 100% Parameter 3: Student Experience (4.6) Percentage Of Students Who Complete The Course: 95%Post Completion Engagement: Every graduating student becomes a Great Lakes Alumni and is invited for all the networking events. They also get access to a repository of learning material for life, an opportunity to mentor students, and continued access to Great Learning job board where opportunities are posted every week and Olympus (LMS) where all learning material is shared. Placement Assistance: Assistance through an alumni network, resume designing and sharing with job consultants, career counselling and mock interviews Parameter 4: Other Determining Factors (4.6) Entry Criteria Of Students: Entrance examExternal Collaboration: They have academic collaboration with Great Lakes Institute of Management. It also has industry collaboration with over 400 industry experts from companies like Microsoft, Accenture, Deloitte, EXL, WNS, Cognizant, American Express, Absolute Data, HSBC, etc. They also have 100+ hiring partners who participate in hiring drives, job fairs and more. The overall rating is 4.67. 5| M.Tech Data Science & Artificial Intelligence By NMIMS’s Mukesh Patel School of Technology Management & Engineering Year Of Inception: 2003Cities Of Operation: Mumbai, Bengaluru, Hyderabad, Nabi Mumbai, Indore, SiripurType Of Full-Time Program: Full-Time Weekdays programDuration Of The Program: 2 years of full-time weekdays programTotal Number Of Learning Hours: 480Course Fees: ₹ 5.0 Lakh per year One of the leading B-schools in India, NMIMS has offices in Navi Mumbai, Indore, Shirpur, Dhule, Bengaluru, Hyderabad and Chandigarh. With nine Centres of Excellence at the university, it has more than 750+ full-time faculty members across various domains. Parameter 1: Course Content (4.6) Comprehensiveness: This program consists of 3-semester classroom teaching and one-semester industry internship. It includes subjects like data gathering, probability, statistics, programming for analytics, operation research, visual analytics, a research project, and electives such as marketing analytics, financial analytics and more. Capstone Project/Internships: More than 3 monthsFrequency Of Course Updation: Regularly, every yearAssessing Students At The End Of The Course: All theory papers consist of 20% internal evaluation in terms of the exam, 30% continuous assessment in terms of assignment, quiz, presentations etc and 50% final examination conducted by the University. All projects are evaluated by industry expert panel. Then we calculate CGPA (out of 4.00). Learning Resources: Books, LMS & online webinars, organize industry guest lectures, events, hands-on coding and projects. Parameter 2: Faculty (4.6) Total Number Of Faculty Members: 14Faculty With PhD (Completed): 5Percentage Of Faculty With Industry Experience: 75 Parameter 3: Student Experience (4.6) Percentage Of Students Who Complete The Course: 98%Post Completion Engagement: Workshops for alumniPlacement Assistance: Guaranteed job placement with the corporate, job interview with hiring partner, assistance through an alumni network, sponsor students to attend industry events. Parameter 4: Other Determining Factors (4.5) Entry Criteria Of Students: 60% in qualifying degree eligibility criteria and then we conduct personal interviews to select students.External Collaboration: Strong industry and foreign university collaboration to design and develop the curriculum. Every student go through a 6 months industry internship in various industries like Morgan Stanley, AXIS, HDFC Bank, General Mills, AdFactor, Cap Gemini, Accenture, American Express, to name a few. The overall rating is 4.57. 6| PGDM (Big Data Analytics) By Goa Institute Of Management Year Of Inception: 1993Cities Of Operation: Sanquelim, GoaType Of Full-Time Program: Full-Time Weekdays programDuration Of The Program: 2 years, full time, Classroom/Data labTotal Number Of Learning Hours: 1015Course Fees: ₹15.5 Lakh GIM runs three programmes in management and In its silver jubilee year, it launched a full-time two-year Big Data Analytics course, with state-of-the-art data lab and pedagogic infrastructure. Parameter 1: Course Content (4.6) Comprehensiveness: The course structure is divided into the induction of two weeks and six terms of three months each. Each term has a mix of domain (management) courses in capsuled format and data science courses in a hands-on mode in data lab. Each course provides a minimum of two guest lectures by practitioners. After three terms, students do a 5-month internship in a company. The course has pedagogic back up of SAS Institute. Capstone Project/Internships: More than 3 monthsFrequency Of Course Updation:Regularly: Every yearAssessing Students At The End Of The Course: The data analytics courses are assessed in the data lab in the form of quizzes, assignments and exams, all in hands-on mode. The students have to earn minimum grade points in each term, failing which they are made to withdraw from the programme.   Learning Resources: Books, videos & downloadable resources, LMS & online webinars, organize industry guest lectures, analytics/data Science events in-campus, hands-on coding and projects, working on live projects and assignments for 5 months. Parameter 2: Faculty (4.5) Total Number Of Faculty Members: 23Faculty With PhD (Completed): 23Percentage Of Faculty With Industry Experience: 89% Parameter 3: Student Experience (4.6) Percentage Of Students Who Complete The Course: 100%Post Completion Engagement: Students become members of the GIM Alumni Association which has chapters in every major city. They are involved in various tasks, such as curriculum review, placement assistance, and governance (one alum is represented on the Board).Placement Assistance: Assistance through an alumni network, resume designing and sharing with job consultants, career counselling and mock interviews, sponsor students to attend industry event/conference to network for industry peers, Placement is managed by students committees and are supported by faculty-in-charge and institute. Parameter 4: Other Determining Factors (4.5) Entry Criteria Of Students: Admission is based on experience, academic consistency, score in CAT/XAT/GMAT and GAAT (GIM’s Analytics Aptitude Test).External Collaboration: Collaboration with the University of Antwerp for exchange programme, Faculty & Student exchange with the Universidade Católica Portuguesa, Exchange with the Warsaw University of Technology Business School, Faculty and Student Exchange with Lappeenranta University of Technology and Agreement of Cultural, Educational and Scientific Cooperation between The University of Kansas, USA, and GIM. The overall rating is 4.55. 7| Leadership Through Analytics And Decision Sciences By T. A. Pai Management Institute Year Of Inception: 2019Cities Of Operation: Bengaluru, ManipalType Of Full-Time Program: Full-Time Weekdays programDuration Of The Program: 11 monthsTotal Number Of Learning Hours: 1000Course Fees: ₹ 6.0 Lakh TAPMI is one among the 7 institutes in India and 5% of the top business schools worldwide to have been accredited with the illustrious Association to Advance Collegiate Schools of Business (AACSB) accreditation. It offers some interesting courses in analytics and data science domain. Parameter 1: Course Content (4.5) Comprehensiveness: The program contains a mix of analytics, leadership, and management subjects delivered both in classrooms and through on-the-job training. It includes subjects such as predictive, descriptive, and visual analytics, data engineering, machine learning, EDA, and tools such as R, Python, PySpark, Scala. It also includes Art of Problem Solving (AoPS) are part of the course curriculum. The on-the-job training is for nearly five months during which students apply their knowledge and skills in real-life projects. Capstone Project/Internships: More than 3 monthsFrequency Of Course Updation: Frequently, every new batchAssessing Students At The End Of The Course: Apart from regular examinations, quizzes, assignments, students also are assessed based on their contributions as part of project teams, case discussions, presentations on solutions to real business problems.Learning Resources: Books, videos & downloadable resources, LMS & online webinars, organize industry guest lectures, events in-campus, hands-on coding and projects. Parameter 2: Faculty (4.5) Total Number Of Faculty Members: 35Faculty With PhD (Completed): 24Percentage Of Faculty With Industry Experience: 30 Parameter 3: Student Experience (4.5) Percentage Of Students Who Complete The Course: 100%Placement Assistance: Guaranteed job placement with corporates Parameter 4: Other Determining Factors (4.4) Entry Criteria Of Students: Industry experience requiredExternal Collaboration: The program was created, developed and is being delivered in collaboration with Mu Sigma. The overall rating is 4.47. 8| MBA (Data Sciences & Data Analytics) By Symbiosis Centre for Information Technology Year Of Inception: 1999Cities Of Operation: PuneType Of Full-Time Program: Full-Time Weekdays programDuration Of The Program: 2 yearsTotal Number Of Learning Hours: 1500Course Fees: ₹ 10.8 Lakh Symbiosis Centre for Information Technology, a constituent of Symbiosis International University has been a pioneer and a leader in imparting education in the niche area of Information Technology Business Management in India for more than a decade. SCIT nurture genuine IT talent to become future leaders in IT, data science and analytics arena. Parameter 1: Course Content (4.5) Comprehensiveness: The program enables students to gain global competencies and is meticulously designed to incorporate technology and market trends. It covers multidimensional aspects of analytics with statistics, artificial intelligence and data science such as R, Python, Tableau, SAS, SAP, Hadoop, and more. The curriculum also focuses on design thinking, deep learning, domain analyticsCapstone Project/Internships: More than 3 monthsFrequency Of Course Updation: Frequently, every new batchAssessing Students At The End Of The Course: All internal examinations are conducted in accordance with the rules and regulations of the University and Choice Based Credit System is followed. The evaluation includes a continuous and term-end evaluation. The form of evaluations is generally projects, presentations, case evaluations, hands-on practical exam, quiz, viva and written exams.Learning Resources: Books, videos & downloadable resources, LMS & online webinars, organize industry guest lectures, analytics/data Science events in-campus, hands-on coding and projects. Parameter 2: Faculty (4.5) Total Number Of Faculty Members: 60Faculty With PhD (Completed): 15Percentage Of Faculty With Industry Experience: 80% Parameter 3: Student Experience (4.4) Percentage Of Students Who Complete The Course: 100%Post Completion Engagement: The engagement is in the form of guest sessions, industry connect and alumni meetPlacement Assistance: Guaranteed job placement with the corporate, guaranteed job interview with hiring partner, assistance through an alumni network, resume designing and sharing with job consultants, career counselling and mock interviews. Parameter 4: Other Determining Factors (4.4) Entry Criteria Of Students: Entrance examExternal Collaboration: It has collaborations with International universities majorly in Europe and Asia and corporations like Fujitsu. There are also international exchange programs with the University of Hildesheim, Germany, Ritsumeikan Japan for research internship and more. The overall rating is 4.45. 9| MBA Two-Year Full-Time Residential Programme By IFMR Graduate School of Business, Krea University Year Of Inception: 1970Cities Of Operation: Chennai, Sri City, AP 517 646Type Of Full-Time Program: Full-Time Weekdays programDuration Of The Program: 2 yearsTotal Number Of Learning Hours: 1000Course Fees: ₹ 12 Lakh Established in 1970 as a research institute, IFMR launched its full-time MBA program in 2000. The data science specialization within the full-time MBA program started in 2015. Parameter 1: Course Content (4.3) Comprehensiveness: The first year of curriculum equips students with core competencies in accounting, finance, human resources, information systems, marketing, operations management and quantitative methods. The second-year allows specialization in data science with learnings in multivariate statistics, programming in Python and R, machine learning, natural language processing and more.Capstone Project/Internships: Less than 3 monthsFrequency Of Course Updated: Regularly, every yearAssessing Students At The End Of The Course: Students are assessed in every course they take. On average, each course counts for 3 credits (30 hours) and is assessed through a mix of exams, quizzes, project work and simulations.Learning Resources: Books, videos & downloadable resources, organize industry guest lectures, events, hands-on coding and projects, analytics hub equipped with a 30-node Hadoop cluster to manage big data, licenses for SPSS modeller, Stata, MATLAB; online databases, Bloomberg terminals. Parameter 2: Faculty (4.3) Total Number Of Faculty Members: 33Faculty With PhD (Completed): 28Percentage Of Faculty With Industry Experience: 30% Parameter 3: Student Experience (4.4) Percentage Of Students Who Complete The Course: 100%Post Completion Engagement: Active alumni involvement and city-level meetingsPlacement Assistance: It ensures 100% campus placement Parameter 4: Other Determining Factors (4.5) Entry Criteria Of Students: Entrance exam followed by personal interviewsExternal Collaboration: Faculty collaborations with top schools in North America including Columbia, Cornell, Harvard, MIT, and NYU. The overall rating is 4.37. 10| Graduate Certificate Program in Data Science & Engineering (Big Data & Visual Analytics) By SP Jain School of Global Management Year Of Inception: 1993Cities Of Operation: PuneType Of Full-Time Program: Full-Time Weekdays programDuration Of The Program: 2 yearsTotal Number Of Learning Hours: 1500Course Fees: ₹ 5.0 Lakh With campuses in Sydney, Mumbai, Singapore and Dubai, it offers undergraduate, postgraduate, doctoral and professional technical courses in business and analytics. It boasts of its students working across companies such as Facebook, Google, Ernst & Young, Microsoft, Deloitte, American Express etc. across the globe. Parameter 1: Course Content (4.2) Comprehensiveness: The BDVA program is built on the core foundation of computer science fundamentals (eg coding, algorithmics), topped up with latest technology skill sets in ML, AI, big data, cloud computing and business analytics. This is an intensive 20 credits program and is often used as a bridge course for admission to US universities. As a part of the program, they have a mandatory Global Immersion week at the Singapore campus. Capstone Project/Internships: Less than 3 monthsFrequency Of Course Updation: Frequently, every new batchAssessing Students At The End Of The Course: Assessments are carried out through written exam (term and final), quizzes, projects, assignments. Learning Resources: Books, videos & downloadable resources, LMS & online webinars, guest lectures, events, hands-on coding and projects. Parameter 2: Faculty (4.5) Total Number Of Faculty Members: 198Faculty With PhD (Completed): 173Percentage Of Faculty With Industry Experience: 95% Parameter 3: Student Experience (4.4) Percentage Of Students Who Complete The Course: 100%Post Completion Engagement: Jobs with top companies in India, pursue MS in the US.Placement Assistance: Guaranteed job interview with hiring partner, Assistance through an alumni network, resume designing and sharing with job consultants, career counselling and mock interviews, Global Immersion Program in Singapore that provides network access to jobs in South East Asian countries Parameter 4: Other Determining Factors (4.3) Entry Criteria Of Students: Entrance examExternal Collaboration: They have collaboration with Dell USA for Deep Learning Lab, Amazon Web Services for Cloud Computing, Facebook Inc for Data access, UMass Boston, Univ Minnesota Twin Cities, Arizona State University Tempe, IIT Bombay, ISI Kolkata, IIT Kharagpur for faculty and knowledge partnering. The overall rating is 4.35.
Check our Latest Rankings for 2020 The annual ranking on full-time analytics and data science course takes a low down on the popular courses in India offered by Indian universities and training institutes. The ranking is an in-depth analysis of various parameters these full-time courses offer. Some of the parameters that we consider are course […]
The annual ranking of popular full-time data science and analytics courses in India offered by Indian universities and training institutes.
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["AI", "artificial intelligence", "machine learning", "ML", "deep learning", "NLP", "data science", "analytics", "Aim", "RAG"]
Srishti currently works as Associate Editor at Analytics India Magazine. When not covering the analytics news, editing and writing articles, she could be found reading or capturing thoughts into pictures.