PG Diploma in Data Science from IIIT Bangalore - Hybrid
4.7 /5- Offered byupGrad
- Private Institute
- Estd. 2015
PG Diploma in Data Science from IIIT Bangalore - Hybrid at upGrad Overview
Duration | 14 hours |
Mode of learning | Online |
Difficulty level | Intermediate |
Credential | Certificate |
PG Diploma in Data Science from IIIT Bangalore - Hybrid at upGrad Highlights
- Offered at Oxford College of Marketing via online distance learning.
- No. 1 Data Science Program [Ranking by AIM], 3000+ Enrolled Students, 300+ Recruiting Partners
- 100+ hours of classroom learning
- Diploma Course
PG Diploma in Data Science from IIIT Bangalore - Hybrid at upGrad Course details
- Learn anytime, anywhere through our online platform and enjoy an immersive learning experience
- Learn how Uber matches cab supply and demand, how Cognizant predicts customer churn for telecom service providers & more
- We dedicate 30% of the course duration to offline meetups like BaseCamp & industry driven networking sessions to get you face-to-face with your peers & mentors
- Our career mentors assist you with creating an impactful resume, interview training & giving you enough advice and opportunities to help you apply for jobs
- Data science as a field is growing at 26% CARG and will continue to seep into every industry
- An average data scientist earns 50% more than an IT or business professional
- Data Science as a field will create 500,000 jobs in the next 5 years
PG Diploma in Data Science from IIIT Bangalore - Hybrid at upGrad Curriculum
Project 1: Uber Supply Demand Gap
Identify the geographies and sector for investment of their surplus funds to maximize the return
Project 2: Telecom Churn Prevention
Learn how churning customers can be identified in the extremely competitive Telecom sector
Project 3: Spark Funds Investment
Identify the geographies and sector for investment of their surplus funds to maximize the return
Project 4: Retail Giant Sales Prediction
Help a retail giant predict the future sales volume of retail goods using time series forecasting
Project 5: Creditworthiness of Customers
Learn how predictive analytics can be used to decide the creditworthiness of customers and whether they be issued a credit card or not
Project 6: E-commerce Market Mix Modelling
Use modelling to help E-com websites identify the right marketing channel and figure out the optimal spend to drive sales.
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