This course includes:
- Video lessons
- Quiz assessment
- Survey lessons
- Certificate of completion
Introduction to Python & R Programming for Data Analysis
Created by Youtube External
Last updated: April 2025 | Language:
About this course
This course provides a comprehensive overview of using Python and R for data analysis. Students will learn the fundamentals of both programming languages, including data manipulation, statistical analysis, and data visualization techniques. The course emphasizes practical applications, enabling learners to apply programming skills to analyze real datasets and derive meaningful insights, making it ideal for beginners in data science and
Course content
Author: @IBMTechnology
Description: Python and R are both common and powerful language for data science tasks. In this video Martin Keen, Master Inventor, provides an overview of R and Python and what questions you need to be asking before you choosing how to proceed on your next project.
Author: @edurekaIN
Description: This Edureka video on 'Data Structures in Python' will help you understand the various data structures that Python has built into itself such as the list, dictionary, tuple and more. Further, we will also understand stacks, queues, trees and how they are implemented in Python using classes and functions.
Main Video Resource
Supplementary Video
Additional resource
Author: @edurekaIN
Description: This video on 'Data Structures in Python' will help you understand the various data structures that Python has built into itself such as the list, dictionary, tuple and more. Further, we will also understand stacks, queues, trees and how they are implemented in Python using classes and functions.
Author: @RyanAndMattDataScience
Description: In this video, I show you how to clean up data within Python Pandas within Jupyter notebook. This Python tutorial is great for those trying to get into Data Analytics or Data Science.
Main Video Resource
Supplementary Video
Additional resource
Author: @edurekaIN
Description: This video on the 'Exploratory Data Analysis Using Python' will help you understand how we can use Python to perform EDA for significant insights and data-driven conclusions.
Main Video Resource
Supplementary Video
Additional resource
Author: @NeuralNine
Description: In this video we learn the fundamentals of doing statistics in Python.
Main Video Resource
Supplementary Video
Additional resource
Author: @ArjanCodes
Description: In this video, we'll show you how to use the Pandas library to make working with large datasets easy. You'll learn about the different data types that Pandas supports and see some examples of how to use them to optimize your memory usage.
Main Video Resource
Additional resource
This document provides additional resources to deepen your understanding of the topics covered in this program. Below, you’ll find links to articles related to each lesson to support your further reading.
Welcome to the quiz section. Before you begin, please make sure you have watched the lesson videos thoroughly, as the questions are designed to test your understanding of key concepts discussed.
Here are a few things to keep in mind:
1. This is a timed quiz, so you’ll need to manage your time effectively.
2. Read each question carefully and choose the best answer based on the material covered in the lesson.
3. The quiz is an excellent opportunity to test your knowledge and reinforce what you’ve learned, so try your best!