Master Data-Science for the Industry
15+ real-world projects
Capstone Projects relevant to business problems
1:1 Mentorship by Analytics Vidhya & KPMG
15+ live sessions by Industry Experts
3 intensive hands-on workshops
5+ hackathons to apply your learnings
15+ industry webinars across domains (Telecom, BFSI, Healthcare, etc)
Live coding & hack sessions by Industry Experts
Reinforce your learnings on weekly-basis
Resume & Interview Preparation
Personalized mock interviews & feedback
Get exciting hiring opportunities with Top Companies including KPMG and KPMG Global services*
Automating candidate sourcing, auto summarization of CVs and fitment prediction
Regression modeling, NLP, text mining, network analysis, unstructured data mining
Automate 3-way matching for payment verification
Image analytics, text extraction, NLP
Build a Virtual Buddy for newly joined employees
Machine learning, AI
Build ‘what if’ scenario models to prevent employee attrition
Regression modeling
Learn how various business use cases and implementation aspects of data science and machine learning across the Consumer markets and Telecom value chain.
Learn how advanced analytics is leveraged by this sector to develop models for decision making and take proactive actions for better business outcomes
Learn about how Fintech and AI solutions are transforming the conventional financial industry.
Learn how Pharma companies are measuring the effectiveness of sales and marketing efforts with data and analytics
Each HackConf has three components where you
5-days live interactive sessions by experts to build industry perspective.
Work on real-world datasets with exciting hackathon problems
3- Intensive workshops to build your real world hands-on skills.
Evaluate your week long learnings through assessments.
Earn Your Certificate
Share Your Achievement
“The global machine learning market is set to grow at a CAGR of 44.06% between 2017 and 2024”
Submit your application Fill out our application form to get started. There is no application fee. It will take about 4-5 minutes. After this, our program counselor will get in touch with you to understand your career goals and your fitment for this comprehensive program.
Prepare and take the Assessment Test Start preparing for the assessment test (based on basic maths, statistics, aptitude & logical problem solving). Take the test and once shortlisted you will move to the next round.
Reserve Your Seat If you are shortlisted and fit the program well - you will receive a registration link to confirm your spot in the current batch. You can choose the payment plan for the balance payment. No cost EMI option is also available.
Join the program You'll be one of the fewer than 20% of applicants who will secure a spot in the program. Congratulations!
1,50,000 + GSTCandidates can pay the program fee through Netbanking, Credit/Debit cards, Cheque or DD. Also, with our corporate financial partnerships avail education loans at 0% interest rate*.
KPMG in India, a professional services firm, is the Indian member firm affiliated with KPMG International and was established in September 1993. Our professionals leverage the global network of firms, providing detailed knowledge of local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.
KPMG in India offers services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.
KPMG Lighthouse is our global center of excellence for data-driven technologies, where we help clients transform their business by unlocking business value and addressing their Growth, Risk and Cost strategies.
Our portfolio of services focuses on the latest data science and computing techniques to help solve our clients’ specific business needs. A combination of analytics experience, trustworthy data, and industry/functional knowledge frame the needs and develop continuously self-improving offerings.
