Python and foundations of Data Science

Python and foundations of Data Science

Course description

Learn the most in-demand Python certification course that will help you gain skills in writing Python code and working with packages, such as SciPy, Matplotlib, Pandas, Scikit-Learn, NumPy, and the Lambda functions. Get an in-depth understanding of Basic statistics and Machine Learning Basics like Linear and Logistic Regression and Gradient Descent etc.
Get Python & Basic ML certification and gain experience by working on real-world projects spanning across multiple domains like Banking, Energy, Ed-Tech, e- Com, Telecom, etc. Get in touch with industry leaders from around the globe to understand Global Demand and shape your skills accordingly.

Our Instructor

Dr. Somesh Bhattacharya

Cal. Univ. Kyoto University. 20+ research papers on ML/AI, UNP Program Director.

Amar Vajjhala

IIT Bombay, Faculty – NYU, Ex VP Nomura, UNP Director for Emerging Tech.

Manjistha Roy

IIT Bombay, Recognized analytics consultant, UNP Program Manager.

Vivek Kalyanarangan

BTech, WBUT Young leader in the banking industry, UNP advisor on emerging techs.

A joint offering from UNP and Aurora's Degree College

Python and foundations of Data Science

At the end of this course you will be:

Industry ready for analytics project using python

able to confidently appear for python and analytics interviews for freshers

able to showcase your own analytics project on GitHub

*Starting form November 2021 !

Virtual classroom contents :(36 hrs of Contact Teaching, 120 hrs of self learning and practice):

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

Project Topics:

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

More for you:

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

To obtain the certification, you have to:

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

Meeting-amico (1)

Course Details:

– Course Fees: 5000 2500 + GST = 2950

For any queries, please contact us at:

– Email at: reachout@unp.education

– UNP Phone number: +91 75960 32269

*Starting form November 2021 !