Free Exploratory data analysis course

Exploratory Data Analysis Essentials

star 4.51  Beginner level 2.25 learning hrs 103.7K+ Learners

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 Akella

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!

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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

This course is ideal for

  • Beginners wanting to learn exploratory data analysis.
  • Students and job seekers building data analysis skills.
  • Working professionals who analyze data in R.
  • Learners who want an Exploratory Data Analysis certificate.

Exploratory Data Analysis Essentials

rating icon 4.51

2.25 Hours

Beginner

103.7K+ learners enrolled so far

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Learner reviews of the Free Courses

4.51
71%
20%
6%
1%
2%
Reviewer Profile

5.0

India
“Transformative Learning Journey: Insights and Growth Through New Skills”
During this learning experience, I gained valuable insights into data analysis and visualization techniques. I explored various libraries and tools that enhanced my ability to manipulate data effectively, create impactful visualizations, and uncover meaningful patterns. Additionally, I developed a deeper understanding of machine learning concepts, which has broadened my perspective on how data can drive decision-making. Overall, this journey has empowered me with practical skills and a renewed passion for leveraging data to solve real-world problems.
Reviewer Profile

5.0

India
“Exploratory Data Analysis (EDA) is a crucial step”
Exploratory Data Analysis (EDA) is a crucial step in the data analysis process that involves summarizing the main characteristics of a dataset, often using visual techniques. It helps in understanding the structure of data, detecting patterns, spotting anomalies, testing hypotheses, and checking assumptions. Here are the key aspects of EDA: Data Summarization, Descriptive Statistics: Calculating measures such as mean, median, standard deviation, range, minimum, and maximum to understand the central tendency and spread of the data.
Reviewer Profile

4.0

India
“Basics of Exploratory Data Analysis”
An introductory Exploratory Data Analysis (EDA) course using R language focuses on understanding and summarizing datasets to uncover patterns, trends, and insights. Participants learn essential R programming skills, including data manipulation, visualization, and statistical analysis. The course typically covers key concepts such as descriptive statistics, data visualization techniques using libraries like ggplot2, and exploratory techniques to handle missing data and outliers.
Reviewer Profile

5.0

India
“One of the standout features of the course”
The course was well-structured, with a perfect balance between theory and practical applications. The materials provided were comprehensive and easy to follow, and the assignments helped solidify my understanding of the core concepts. One of the standout features of the course was the quality of the instructors. They were knowledgeable, approachable, and provided timely feedback on all queries. The interactive sessions, along with real-world case studies, made the learning experience truly engaging. Overall, the course has significantly boosted my skills.
Reviewer Profile

5.0

“One of the Highlights of My Learning Is Understanding How Data Science Evolves and Adapts to Different Contexts”
The Data Science course at Great Learning has been an excellent experience for me, providing practical and accessible training in data analysis. I learned about statistics, Python programming, and how to use tools like Pandas, while also working on real-world projects. The mentorship was invaluable in clarifying my doubts and deepening my understanding. The course is flexible, allowing me to study at my own pace, and at the end, I will receive a certificate that will definitely help me stand out in the job market, which is in high demand for data science professionals.
Reviewer Profile

5.0

India
“It was an informative session and the course helped”
There's nothing more left for me to say as every aspect of this course was top-notch.
Reviewer Profile

5.0

India
“Easy learning in data analysis with clear explanations”
Experience in data analysis is very nice with easy explanations and examples.
Reviewer Profile

4.0

Italy
“Interesting course explaining the basics of data analysis and R”
An interesting course both for teaching data analysis and for teaching R.
Reviewer Profile

5.0

India
“Basics of Exploratory Data Analysis is an important concept”
Everything is fine. It is really a nice opportunity for a student to learn and gain knowledge for free.
Reviewer Profile

5.0

India
“Basics of Exploratory Data Analysis”
I enjoyed learning about data visualization techniques and how to effectively summarize datasets. The hands-on exercises made the concepts much clearer and more engaging!

What our learners enjoyed the most

Our course instructor

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Mr. Bharani Akella

Data Scientist

Data Science Expert

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5M+ Learners
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125 Courses
Bharani has been working in the field of data science for the last 2 years. He has expertise in languages such as Python, R and Java. He also has expertise in the field of deep learning and has worked with deep learning frameworks such as Keras and TensorFlow. He has been in the technical content side from last 2 years and has taught numerous classes with respect to data science.

Frequently Asked Questions

Will I receive a certificate upon completing this free course?

Yes, upon successful completion of the course and payment of the certificate fee, you will receive a completion certificate that you can add to your resume.

Is this course free?

Yes, you may enroll in the course and access the course content for free. However, if you wish to obtain a certificate upon completion, a non-refundable fee is applicable.

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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