Python and foundations of Data Science

– Week 1 – Python groundwork
– Week 2 – Python foundational concepts
– Week 3 – Python data management, pandas and basic descriptive analytics
– Week 4 – Python plotting and foundation of descriptive analytics
– Week 5 – Python statistics package & project kick-off
– Week 6 – Python machine learning packages
– Week 7 – Final presentation

The projects that you will work on during this course will be data science based problems occurring in different industries.

The project execution will be simulated as to how a real-time project is executed in corporate organizations.

At the end of the project, you will get to present your findings and recommendations to Industry leaders.

This process will be helpful for students, specially freshers, to get accustomed to the life cycle of a project as executed in the industry.

– Telecommunication – the rate of adoption and prediction of internet usage in rural India
– E-commerce – recommendation of products from previous purchase history
– Health care – prognosis from ICU data
– Finance & Banking -balanced portfolio design by identification of correlated and contra related stocks
– Power and heavy industry – predicting equipment failure and reliability from past operation data

– Additional self-learning materials and assignments
– Discussion forum for immediate doubts
– Quiz, class assignments, practice work
– Peer-to-peer assignment discussion

The top team gets an internship opportunity with an experience certificate at the end of the internship program

– Join at least 80% of the classes
– Obtain a total of 60% in the class assignments and the final assignments
– Present the project work and submit the code in the git hub repository

– Course Fees: 5000 2500 + GST = 2950

For any queries, please contact us at:

– Email at: reachout@unp.education

– UNP Phone number: +91 75960 32269