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Free Data Analysis Projects Course

Name: Exploratory Data Analysis Projects
Rating: 4.5 (118 reviews)

Exploratory Data Analysis Projects

4.5 Beginner level 3.75 learning hrs 2.1K+ Learners

Data Analysis Projects free course learning gives you a usable route through datasets, metrics, and analysis choices, helping you interpret results with better judgment before moving into deeper practice.

Instructor:

Mr. Bharani Akella

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Skills you will gain

Data Visualisation

Analysing the Data

Key Highlights

Get free course content

Master in-demand skills & tools

Test your skills with quizzes

About this course

A free data analysis projects course is useful when you already know basic analytics terms but need practice turning raw information into clear findings. This course uses project-style examples from transport, education, food, and online book sales so you can see how questions become datasets, charts, summaries, and business recommendations. Instead of stopping at theory, you work through the thinking behind data cleaning, exploration, comparison, and interpretation.

The course is a good fit for learners building a first data analytics portfolio, preparing for interviews, or trying to understand how analysts explain patterns to business teams. You can use the examples to practice framing a problem, choosing the right view of the data, and presenting insights in a way that supports decisions. After finishing, you should be better prepared to attempt independent analytics projects with Python, spreadsheets, BI tools, or any workflow where evidence matters more than raw numbers.

Stand out with an industry-recognized certificate

Start learning

10,000+ certificates claimed, get yours today!

Get noticed by top recruiters

Share on professional channels

Globally recognised

Land your dream job

Course outline

EDA of Football World Cup

EDA of Marvel Superheroes

EDA of Top 50 Selling Books on Amazon

EDA of Top 10 Indian Food

EDA of IPL Data

EDA of Cricket World Cup

Get access to the complete curriculum once you enroll in the course

View Full Course

Exploratory Data Analysis Projects

4.5

3.75 Hours

Beginner

2.1K+ learners enrolled so far

Get free course content

Master in-demand skills & tools

Test your skills with quizzes

Trusted by 1 Crore+ Learners globally

4.6

4.89

4.94

4.7

Learner reviews of the Free Courses

4.5

★★★★

★ ☆

★

72%

★

☆

15%

★

☆

★

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JONAS ASIR JAYASEELAN A URK22CS1019

4.0

★★★ ★ ☆

India

“Exploratory Data Analysis Projects by Great Learning”

Great Learning’s Exploratory Data Analysis projects were incredibly insightful! The hands-on approach provided a deep understanding of data patterns and visualization techniques. The project structure was well-organized and encouraged critical thinking. The support and resources available were top-notch, making complex concepts more accessible. Overall, a highly beneficial experience that significantly enhanced my data analysis skills. Highly recommended...

Manish P

5.0

★★★★ ★

India

“An Engaging and Informative Course Experience”

I thoroughly enjoyed this course and found it to be highly informative and engaging. The curriculum was well-structured, covering a wide range of topics in depth. The instructors were knowledgeable and presented the material in a clear and concise manner. The quizzes and assignments were challenging yet fair, helping to reinforce the concepts learned. Overall, this course provided a comprehensive learning experience that was both enjoyable and educational.

SUBHI SELVAM

5.0

★★★★ ★

India

“Easy to Learn Video Materials and Quiz”

Thank you for offering this course! I’ve completed it and found it extremely valuable. The lessons on data cleaning, visualization, and analysis were clear and practical. The hands-on approach and use of Python tools greatly enhanced my ability to explore and understand data. I’m very satisfied with the course and feel more confident in my data analysis skills.

Santhosh Navi

4.0

★★★ ★ ☆

India

“The Exploratory Data Analysis (EDA) course on the Great Learning app provided a solid foundation in analyzing and visualizing data. I learned to use Python, Pandas and many more.”

The Exploratory Data Analysis (EDA) course on the Great Learning app was a transformative learning experience. Not only did I gain practical skills in handling datasets, but I also developed a keen sense of how to approach raw data systematically. The lessons on data cleaning were particularly insightful, as I learned to deal with missing values and inconsistencies in datasets using Pandas. Visualizing data with Matplotlib and Seaborn was another highlight, allowing me to discover trends and patterns more effectively.

Sri dharaneesh

5.0

★★★★ ★

India

“This course was informative and engaging, offering clear explanations and hands-on exercises. It boosted my confidence and improved my data analysis skills.”

The EDA (Exploratory Data Analysis) course was very informative and helpful. It covered all the basic concepts and techniques needed to understand data better. The lessons were well-structured, and the examples provided were easy to follow. I especially liked the hands-on exercises, which made the learning experience more interactive. The course improved my data analysis skills and gave me confidence to handle real-world datasets. The instructors were knowledgeable and explained complex ideas in a simple way.

DIVIYASRI S URK22CS1023

5.0

★★★★ ★

India

“The course was really good and easily understandable.”

overall, the course was highly informative and well-structured. The material was presented in a clear and engaging manner, making complex concepts easier to understand. I particularly appreciated the practical assignments and projects, which allowed me to apply what I learned in real-world scenarios. The instructor's expertise and responsiveness to questions were also notable, as they provided valuable insights and support throughout the course. However, I felt that some of the content could benefit from more in-depth exploration, especially in areas where the subject matter was particularly challenging. Additionally, a bit more variety in the teaching methods and interactive elements could enhance the learning experience. Despite these minor points, I found the course to be a worthwhile investment in my professional development and would recommend it to others interested.

MADHUMITHA S URK22CS1022

5.0

★★★★ ★

India

“It was good and better understanding vedios”

I recently completed the exploratory data analysis course, and I wanted to share my feedback on the experience. Overall, the course was highly informative and well-structured. The material was presented in a clear and engaging manner, making complex concepts easier to understand. I particularly appreciated the practical assignments and projects, which allowed me to apply what I learned in real-world scenarios. The instructor's expertise and responsiveness to questions were also notable, as they provided valuable insights and support throughout the course. However, I felt that some of the content could benefit from more in-depth exploration, especially in areas where the subject matter was particularly challenging. Additionally, a bit more variety in the teaching methods and interactive elements could enhance the learning experience. Despite these minor points, I found the course to be a worthwhile investment in my professional development and would recommend it to others interested in [Course Topic].

What our learners enjoyed the most

Skill & tools

62%

62% of learners found all the desired skills & tools

Our course instructor

Mr. Bharani Akella

Data Scientist

Machine Learning Expert

5M+ Learners

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 will I learn in this free Data Analysis Projects course?

You will study Python, analytics, datasets, and methods so the topic learningls easier to use in real learning situations. The focus is on useful foundations, not memorizing terms.

What are the prerequisites required to learn this Exploratory Data Analysis Projects Course?

You do not need any prior knowledge except knowing the Basics of Python to learn this Exploratory Data Analysis Projects Course.

What will I learn in this free Exploratory Data Analysis Projects course?

You will study datasets, methods, model choices, and evaluation so the topic learningls easier to use in real learning situations. The focus is on useful foundations, not memorizing terms.

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

Exploratory Data Analysis Projects course is a 2.5 hour long course but it is self-paced. Once you enroll, you can take your own time to complete the course.

Who should start with this Data Analysis Projects course?

This course is useful for learners who want to connect concepts with data-backed decisions and project practice. It starts with the basics, then shows how Python and analytics connect to practical decisions.

Who should start with this Exploratory Data Analysis Projects course?

This course is useful for learners who want to connect concepts with data-backed decisions and project practice. It starts with the basics, then shows how datasets and methods connect to practical decisions.

Will I have lifetime access to the free course?

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

How does Data Analysis Projects help in practical learning?

Data Analysis Projects becomes useful when you can analyze the basics, compare examples, and explain why each step matters. The course keeps those ideas tied to beginner-friendly practice.

How does Exploratory Data Analysis Projects help in practical learning?

Exploratory Data Analysis Projects becomes useful when you can analyze the basics, compare examples, and explain why each step matters. The course keeps those ideas tied to beginner-friendly practice.

Will I get a certificate after completing this Exploratory Data Analysis Projects Free course?

Yes, you will get a certificate of completion after completing all the modules and cracking the assessment.

What Exploratory Data Analysis Projects basics should I know before advanced study?

Focus first on datasets, methods, model choices, and the common mistakes beginners make. These basics make advanced lessons easier to follow later. It keeps the learning practical without adding unrelated admin details.

What Data Analysis Projects basics should I know before advanced study?

Focus first on Python, analytics, datasets, and the common mistakes beginners make. These basics make advanced lessons easier to follow later. It keeps the learning practical without adding unrelated admin details.

Can beginners learn Data Analysis Projects online through this course?

Beginners can use the lessons to build a clear starting point for Data Analysis Projects. The flow keeps concepts, examples, and practice connected so online learning learningls structured.

Can beginners learn Exploratory Data Analysis Projects online through this course?

Beginners can use the lessons to build a clear starting point for Exploratory Data Analysis Projects. The flow keeps concepts, examples, and practice connected so online learning learningls structured.

How much does this Exploratory Data Analysis Projects Course cost?

It is an entirely free course from Great Learning Academy. Anyone interested in learning Exploratory Data Analysis Projects can start this course.

What makes this Data Analysis Projects training useful for projects?

The training helps you connect Python with analytics and datasets, which is important when turning a lesson into an assignment, portfolio task, or workplace example.

Is there any limit on how many times I can take this free course?

No. There is no limit. Once you enroll in the Exploratory Data Analysis Projects Course, you have lifetime access to it. So, you can log in anytime and learn it for free online.

What makes this Exploratory Data Analysis Projects training useful for projects?

The training helps you connect datasets with methods and model choices, which is important when turning a lesson into an assignment, portfolio task, or workplace example.

How should I practice after finishing Data Analysis Projects?

After finishing, revisit the core terms, repeat one small example, and explain your steps aloud. Then move into dataset practice, project notebooks, evaluation metrics, and a more advanced analytics or ML course...

How should I practice after finishing Exploratory Data Analysis Projects?

What questions does this free Data Analysis Projects course answer for learners?

It answers how Data Analysis Projects works, where it is used, which basics matter first, and how learners can move from definitions to practical examples without getting lost in advanced details.

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