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Data Visualization with Python & R for Engineers
Learn data visualization techniques using Python and R for engineering applications.explores various static visualization charts and techniques.
Course Cost
₹ 2,699
Beginner
Skill Level
16 Hours
Self-paced lessons
This course offers engineers a comprehensive introduction to data visualization using Python and R. Students will learn how to use visualization tools and techniques for data exploration, knowledge discovery, data storytelling, and decision-making in engineering, healthcare operations, manufacturing, and related applications. The curriculum covers the basics of data mining and visualization, introduces Python programming, and explores various static visualization charts and techniques. By the end of the course, students will be able to effectively analyze and present complex data, enhancing their ability to make data-driven decisions in engineering contexts.
English
What you'll learn
Understand fundamental concepts of data and Big Data in engineering contexts
Learn data preprocessing techniques for effective analysis
Master various data visualization methods and their applications in engineering
Develop proficiency in Python programming for data analysis
Gain hands-on experience with NumPy and Pandas libraries
Create compelling data visualizations for engineering applications
Apply data storytelling techniques to communicate insights effectively
Develop skills to make data-driven decisions in engineering and related fields
Skills you'll gain
This course includes:
18 Minutes PreRecorded video
14 assignments,1 programming assignment,5 discussion prompts
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 4 modules in this course
This course provides a comprehensive introduction to data visualization techniques using Python and R, tailored for engineers. It begins with an exploration of data fundamentals, covering types of data, the data workflow, and Big Data concepts. Students then learn about data preprocessing, including finding and cleaning data for analysis. The course delves into various visualization techniques, teaching students how to create and interpret different types of statistical and geographical graphs. A significant portion of the course is dedicated to Python programming basics, covering variables, data types, conditional statements, loops, and functions. Students also gain hands-on experience with essential Python libraries like NumPy and Pandas for data manipulation and analysis. Throughout the course, practical assignments and discussions help reinforce learning and apply concepts to real-world engineering scenarios.
Introduction to Data - Part 1
Module 1 · 2 Hours to complete
Introduction to Data - Part 2
Module 2 · 2 Hours to complete
Introduction to Visualization
Module 3 · 3 Hours to complete
Basics of Python
Module 4 · 9 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.
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Students
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Course
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.