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Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery | Frequency Of Classes |
|---|---|---|---|
| English | Virtual Classroom | Video and Text Based | Weekends |
Course Overview
Python is a powerful, fully accessible, interpreted language that offers a fantastic method for programming objects. Python language is one of the best languages for data scientists to utilize for a variety of applications and projects. Python for Data Science certification course is developed by Jain University and is made available by Online Jain to offer applicants the opportunity to obtain top-notch training in Python if they are unable to physically attend the university.
Python for Data Science online training provides a hands-on understanding of the fundamental concepts and capabilities of the Python framework and language. The Python for Data Science online course covers topics like object-oriented programming, exploratory data analysis, data structures, inheritance, and data visualization as well as aims to help applicants learn the syntax and semantics of Python, how to use Python flow control and functions, and how to handle strings and file systems.
The Highlights
- Certificate of completion
- Live online classes
- 3-month program
- Assessments
- Case studies
Programme Offerings
- Online Course
- Learning resources
- Unlimited access
- Accessible on mobile devices
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | Jain Deemed to be University, Bangalore |
What you will learn
After completing the Python for Data Science online certification, applicants will acquire a comprehensive understanding of the fundamentals associated with python programming for data science operations. In this data science certification, applicants will explore the functionality of python packages including Pandas, Numpy, seaborn, and Matplotlib as well as will acquire an understanding of techniques involved in working with data structures and inheritance. In this data science course, applicants will also acquire knowledge of the concepts and strategies involved with data analytics, data visualization, and exploratory data analysis.