The ‘Advanced Data Science, Machine Learning & Artificial Intelligence’ course is UNP’s flagship course and is the best suited for someone who aspires to make a successful career in Data Science. Students will learn various machine learning algorithms and their applications.
Students will deep dive into the real-world data science, learn the necessary skills, techniques, machine learning modules, and methodologies and be able to use tools and libraries to think and work like a data scientist. The course will cover most widely used business applications areas of Data Science and Machine Learning like prediction, classification, natural language processing, image processing, deep learning, etc. Students will learn Tensorflow, an open source artificial intelligence library, and also gain a brief introduction to Dockers for deploying applications.
The primary focus of the course is Project-based learning where students will work on two industry level Capstone Projects across leading application industries like Finance, Digital Marketing, Operations, Healthcare, etc. Students will apply the concepts and skills and diligently work through all the stages of a data science project and gain confidence. Students will present the Capstone projects to faculties, colleagues, and judges.
The course is highly recommended for students and professionals who aspire to make a successful career and mark in the field of Data Science.
**Starting 19-June-2022! Fees: INR 15,000/- (inclusive of GST)
–Data Science has been the hottest profession in the past decade. The demand continues to grow stronger with the supply of knowledgeable data scientists always falling short of the opportunities in the job market. –The course will also be helpful for students who wish to strengthen their concepts, do good projects and aim for research programs (PhDs) in the future.
Tool: Python programming language
Advanced Data Science, ML & AI
The projects will be simulated as to how a real-time project is executed in corporate organizations across various industries.
✓ Finance – balanced portfolio design by identification of correlated and contra related stocks
✓ Banking – credit-card fraud deduction, insurance premium, customer credit scores
✓ Supply Chain – forecast shelf-inventory, assortment for clarity on customer consumption behaviour, and the uptime of in- service equipment to identify and prevent downtime.
✓ Industrials – predicting equipment failure and reliability from past operation data
✓ E-commerce – recommendation of products from previous purchase history, customer segmentation
✓ Web/ OTT – movie recommendation, search engine recommendation, tweets categorization
Students will present their capstone projects to Industry leaders, faculty members, and colleagues
which will help them experience an end-to-end project analysis and delivery.
MORE FOR YOU:
✓ Additional self-learning materials and assignments
✓ Sessions from Industry experts
✓ Help create Digital footprints by publishing projects on GitHub, LinkedIn, Resumes, etc.
✓ Sessions on Presentation, Interview skills, resume preparations
✓ Discussion forum for immediate doubts
✓ Quiz, class assignments, practice work
✓ Students will receive a course completion Certificate from UNP upon successful submission of Assignments and Capstone projects.