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Data Processing Using Python
Learn Python for data acquisition, analysis, and visualization. Master libraries like NumPy, Pandas, and SciPy.
Course Cost
₹ 2,699
Beginner
Skill Level
28 Hours
Self-paced lessons
This beginner-friendly course introduces Python for data processing, focusing on non-computer majors. Students learn Python basics, data acquisition techniques, powerful data structures, and popular libraries like NumPy and Pandas. The curriculum covers data statistics, mining, and visualization, with practical applications in finance, literature, sociology, and more. The course also introduces object-oriented programming and GUI development, providing a comprehensive foundation in Python for data analysis.
What you'll learn
Master Python basics including syntax, data types, and control structures
Learn data acquisition techniques from local and network sources
Understand and utilize powerful data structures like dictionaries and sets
Gain proficiency in NumPy, Pandas, and SciPy for scientific computing
Apply data preprocessing, analysis, and visualization techniques
Develop skills in data mining and statistical analysis using Python
Understand the basics of object-oriented programming in Python
Create simple graphical user interfaces for data presentation
Skills you'll gain
This course includes:
11.9 Hours PreRecorded video
8 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 6 modules in this course
This comprehensive course introduces Python for data processing, catering to non-computer majors. The curriculum is structured into six modules, covering a wide range of topics from basic Python syntax to advanced data analysis techniques. Students begin with Python fundamentals, including data types, control structures, and functions. The course then progresses to data acquisition methods, both from local sources and the internet. Learners explore powerful data structures and Python extension libraries, with a focus on NumPy, Pandas, and SciPy for scientific computing. The fourth module delves into data statistics and mining, teaching students how to preprocess, analyze, and visualize data using Python. The course also covers applications in various fields, including finance, literature, and sociology. The final modules introduce object-oriented programming concepts and GUI development, providing a well-rounded understanding of Python's capabilities in data processing.
Welcome to learn Data Processing Using Python!
Module 1 · 23 Minutes to complete
Basics of Python
Module 2 · 8 Hours to complete
Data Acquisition and Presentation
Module 3 · 3 Hours to complete
Powerful Data Structures and Python Extension Libraries
Module 4 · 3 Hours to complete
Python Data Statistics and Mining
Module 5 · 10 Hours to complete
Object Orientation and Graphical User Interface
Module 6 · 3 Hours to complete
Fee Structure
Payment options
Financial Aid
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
4.5
66
Reviews
2,05,273
Students
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Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.