Data Science with Python
Gain an insight into the fundamental concepts and methodologies involved in the data science options using Python ...Read more
Brochure
Enquire
Online
20 Hours
₹ 315
Inclusive of GST
Quick Facts
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Course overview
Python, an extensively used interpretative, interactive programming language, has become extensively famous for Data Science. Python's design concept prioritizes accessibility, and its semantics enable developers to communicate concepts in lesser code than languages like C++ or Java. The Data Science with Python course, developed by Corestack and delivered by FutureSkills Prime, is aimed to teach candidates the method and techniques involved in data science operations using the Python programming language.
Data Science with Python online classes makes use of Jupyter which candidates allow candidates to create the Python & PySpark notebooks and launch them. Data Science with Python online course is a 20-hour training program that focuses on explaining all of the fundamental and advanced principles of data science using Python and Power BI. This course also offers 24-hour support to provide rapid and effective solutions to challenges that candidates may encounter during their learning experience.
The highlights
- Self-paced course
- English video lectures
- 20 hours effort
- Online course
Program offerings
- Self-paced course
- English video lectures
- Learning resources
- 24x7 support
- Unlimited access
- Accessible on mobile devices
Course and certificate fees
Fees information
Data Science with Python Fees Structure
| Course | Amount |
| Data Science with Python | Rs 315 |
certificate availability
No
Who it is for
What you will learn
After completing the Data Science with Python online certification, candidates will have a better understanding of the Python programming functionalities and principles for data science projects. Candidates will learn about the features and ideas of Power Bi as well as the capabilities of PySpark Notebooks for a variety of Python-based data science procedures.
