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Free Exploratory data analysis course
Exploratory Data Analysis Essentials
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!
Instructor:
Mr. Bharani AkellaModules updated 07/2025
Exploratory Data Analysis Essentials
101.7K+ learners enrolled so far
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Skills you will gain
EDA concepts
EDA in python
Visualization tools
Key Highlights

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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.
Get access to the complete curriculum once you enroll in the course
Stand out with an industry-recognized certificate

10,000+ certificates claimed, get yours today!

Get noticed by top recruiters

Share on professional channels

Globally recognised

Land your dream job

Exploratory Data Analysis Essentials
4.51
2.25 Hours
Beginner
101.7K+ learners enrolled so far

Get free course content

Master in-demand skills & tools

Test your skills with quizzes
What our learners enjoyed the most
Skill & tools
64% of learners found all the desired skills & tools
Our course instructor

Mr. Bharani Akella
Data Scientist
Data Science Expert


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.
What are my next learning options after the Basics of Exploratory Data Analysis course?
Once you are thorough with EDA, you can explore other tools used for data visualization purposes and apply these derivations to solve Data Science problems in real-life situations. You can also compare different data sets and prepare a satisfactory report. You can also deep dive into several other concepts by enrolling in our Data Science courses.
Why learn Basics of Exploratory Data Analysis?
EDA is a critical process to perform investigations in the requirements stage on the data set to discover patterns, recognize anomalies, test hypotheses, and verify assumptions. These are carried out using statistical methods and graphical representations. Thus, it is essential to learn the Basics of Exploratory Data Analysis.
What are the Basics of Exploratory Data Analysis used for?
EDA is used to analyze vast data sets and sum up essential elements through statistical and other graphical visualization techniques. It can be cross-categorized into two methods. The first one uses either graphical or non-graphical methods, while the second works with univariate or multivariate (most commonly bivariate) methods.
Why is Basics of Exploratory Data Analysis so popular?
EDA can describe the data, handle outliers, draw insights through plots and perform many using R or Python programming. It is also used for data visualization, making it a popular tool.
What jobs demand that you learn the Basics of Exploratory Data Analysis?
The profiles that best suit you if you are good at Exploratory Data Analysis are Data Analyst and Business Analyst. You can fine-tune your career in these fields with a good hold on EDA.
Will I get a certificate after completing this course?
Yes, you will get a certificate of completion after completing all the modules and cracking the quiz/assessment. The quiz/assessment tests your knowledge of the subject and badges your skills.
What knowledge and skills will I gain upon completing the Basics of Exploratory Data Analysis course?
You will gain knowledge on aesthetics and data layer, DPLYR, GGPLOT2 library, and data science strategies with the demonstrated case study in this course. You will also add skills to work with data manipulation techniques and statistical analysis for data science.
How much does this course cost?
The Basics of Exploratory Data Analysis is a free course, and you can enroll and learn it online at your convenience.
Is there a limit on how many times I can take this Basics of Exploratory Data Analysis course?
Once you enroll in the Basics of Exploratory Data Analysis course, you have lifetime access to it. So, you can log in anytime and learn it at your leisure.
Can I sign up for multiple courses from Great Learning Academy at the same time?
Yes, you can enroll in as many courses as you want from Great Learning Academy. There is no limit to the number of courses you can enroll in at once, but since the courses offered by Great Learning Academy are free, we suggest you learn one by one to get the best out of the subject.
Why choose Great Learning Academy for the Basics of Exploratory Data Analysis course?
This course is free, self-paced, and helps you understand various topics under the subject with solved problems, hands-on experience with projects, and demonstrated examples. The course is carefully designed to cater to beginners and professionals and delivered by subject experts.
Great Learning is a global ed-tech platform dedicated to developing competent professionals. Great Learning Academy is an initiative that offers in-demand online courses to help people advance in their jobs. More than 4 million learners from 140 countries have benefited from Great Learning Academy's free online courses with certificates. It is a one-stop-place place for learners' goals.
Who is eligible to take this Basics of Exploratory Data Analysis course?
Anybody with basic knowledge of computer science and interested in learning Data Science and Analysis can take up the course. You need to know only basic programming to learn the course, so enroll today and learn it for free online.
What are the steps to enroll in this course?
Enrolling in any of the Great Learning Academy’s courses is just a one-step process. Sign-up for the course you are interested in learning through your E-mail ID and start learning them without further ado.
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