Is Exploratory Data Analysis with R beginner friendly?

Yes, this course is designed for beginners. It covers foundational concepts and requires no prior advanced knowledge in the subject area.

How long does it take to complete Exploratory Data Analysis with R?

The total duration of the course is approximately 2 hour 30 minutes. Since it is generally self-paced, completion time depends entirely on your learning schedule and availability.

Is this course more theory-focused or project-focused?

This course provides a strong mix of conceptual theory and practical application to ensure a comprehensive understanding of the subject matter.

Data Science

Exploratory Data Analysis with R

Name: Exploratory Data Analysis with R
Availability: InStock
Rating: 4 (347 reviews)

Learn how to perform exploratory data analysis with R to complete day-to-day developer tasks.

4|Reviews (347)

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₹10,563/yr

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₹1,254/mo

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Course Insight

Suitable for beginner learners. This course serves as an entry point into Data Science, building foundational knowledge before moving on to advanced frameworks or specialized paths.

Beginner FriendlySelf-Paced Learning

SKILLS TO
MASTER

Analytics

Exploratory Data Analysis

Modeling

Predictive Machine Learning

SQL Querying

Relational Data Management

Pandas

Matplotlib

Statistics

Tableau

ETL

Careers:Relevant for professionals pursuing roles within Data Science.

💡This course fits perfectly into our comprehensiveData Science Learning Path. Explore the ecosystem to see how it compares to other foundational skills.

Quick Facts

2 hour 30 minutes

Below sections are verified from last major sync. For real-time updates and today's latest lectures, Check official page here.

What You’ll Learn

Introduction to R : 25mins.
Transforming and Cleaning Data : 19mins.
Calculating Descriptive Statistics : 31mins.
Visualizing Data : 43mins.
Moving Beyond R and Exploratory Data Analysis : 30mins.

See side-by-side differences in what you’ll learn

Description

R is a popular open-source programming language for data analysis. Its interactive programming environment and data visualization capabilities make R an ideal tool for exploratory data analysis. This course will provide an introduction to the R programming language and demonstrate how R can be used for exploratory data analysis to complete day-to-day developer tasks.

See how this course compares with alternatives