Ementorhub

Free Exploratory data analysis course

Basics of Exploratory Data Analysis

Learn how to uncover hidden insights and patterns in data through hands-on exercises and real-world examples. Enroll now and start your journey towards becoming a data analysis pro!

4.51

Beginner

2.25 Hrs

99.5K+

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Learning hours

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Skills you’ll Learn

EDA concepts

EDA in python

Visualization tools

About this course

The Basics of Exploratory Data Analysis course shall imbibe in you the knowledge on working with Data Manipulation techniques with DPLYR and its functions to reduce the arduous task. The course shall then continue with Data Visualization techniques using the GGPLOT2 grammar package and different plots and layers. You will learn the statistics involved with the subject and the science supporting Data Science strategies. In the later part of this course, a case study on the Pokemon Dataset would be fun for you to apply these concepts and understand the subject as a whole. You can refer to the attached study materials at any point after enrolling in the course and take up the quiz at the end to test your knowledge and understand your gains. Upon completing this free, self-paced, beginner's guide to Basics of Exploratory Data Analysis, you can embark on your Data Science and Business Analytics career with a professional Post Graduate certificate and learn several concepts with millions of aspirants across the globe!

Course Outline

Data Manipulation with DPLYR

In this section, you will learn and understand data manipulation techniques with DPLYR packages to work with a massive data set. You will know how to install the DPLYR package and how to extract specific data from the pool data pool demonstrated code snippets.

Data Visualization with ggplot2

This section explains the grammar of data visualization and then continues by speaking about three different layers in it. You shall then perform data visualization operations with GGPLOT2 grammar of graphics after knowing how to install it.

Case Study on Pokemon Dataset

In this section, you shall apply data manipulation and visualization techniques that you learned in the earlier part of the course on the Pokemon dataset to understand better and good hold on the concepts.

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Frequently Asked Questions

Will I receive a certificate upon completing this free course?

Is this course free?

What are the prerequisites required to learn this Basics of Exploratory Data Analysis course?

It is beneficial for you to learn statistics and either R or Python programming before you enroll in the course.

How long does it take to complete this free basic of Exploratory Data Analysis course?

The Basics of Exploratory Data Analysis is a 1.5 - hours long course and is self-paced. Once you enroll, you can take your own time to complete the course.

Will I have lifetime access to the free course?

Yes, once you enroll in the course, you will have lifetime access to any of Great Learning Academy’s free courses. You can log in and learn whenever you want to.