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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

Enroll in this Exploratory Data Analysis Projects Course to learn more on Data Visualisation, Analysing the Data and more. Start today and enhance your Data Analysis knowledge and skills!

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

This free course on Exploratory Data Analysis (EDA) Projects includes six amazing topics for you to dive into. Firstly, we will start with data visualization and then move on to analyzing data. This course is designed to teach you how to effectively explore and analyze different types of data. The topics covered in this course are diverse and fascinating, from analyzing football world cup data to exploring the world of Marvel superheroes.

We will also delve into the world of literature by exploring the top 50-selling books on Amazon. If you are a foodie, you will love analyzing the top 10 Indian food dishes. For sports enthusiasts, we will take a deep dive into IPL data and cricket world cup data. Our course is perfect for beginners who want to learn more about EDA and how to analyze different types of data. With the help of our experienced instructors, you will learn the necessary tools and techniques to conduct EDA and build insightful visualizations.

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 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.

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.

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.

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.

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.

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.

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