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Free Python Seaborn Course

Name: Python Seaborn
Rating: 4.45 (440 reviews)

Python Seaborn

4.45 Beginner level 1.5 learning hrs 6.5K+ Learners

Instructor:

Mr. Bharani Akella

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Skills you will gain

Bar Plot in Seaborn

Scatterplot using Seaborn

Histograms and Jointplot

Working with Boxplots

Key Highlights

Get free course content

Master in-demand skills & tools

Test your skills with quizzes

About this course

Data Visualization makes it so easy to work on abundant data. It presents the data in a simplified and easy-to-understand manner. Data visualization is useful for data cleaning, detecting outliers and unusual groups, identifying trends and clusters, spotting local patterns, evaluating modeling output, and presenting results. Libraries like Seaborn and Matplotlib do the same for us and it makes it easier to draw insights from abundant data and work accordingly on it. Seaborn being a top data visualization library, is a very important skill to have as an analyst. This course covers a variety of practical demonstrations of various plots in Python to help concrete your understanding on the same.

Check out our PG Course in Machine learning Today.

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

Introduction to Seaborn and Line Plot

Bar Plot in Seaborn

Scatterplot using Seaborn

Histograms and Jointplot

Working with Boxplots

Seaborn Implementation in EDA

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

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Python Seaborn

4.45

1.5 Hours

Beginner

6.5K+ learners enrolled so far

Get free course content

Master in-demand skills & tools

Test your skills with quizzes

Trusted by 10 Million+ Learners globally

4.6

4.89

4.94

4.7

Learner reviews of the Free Courses

4.45

★★★★

★ ☆

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67%

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☆

22%

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Moaish Pasha

5.0

★★★★ ★

Australia

“Enjoyed Assisting and Providing Helpful Responses”

Assisting and providing helpful responses: Knowing that my answers could make a positive impact on someone's understanding or project was fulfilling. Continuously learning and improving: Through our interactions, I refined my knowledge and fine-tuned my responses to better serve users in the future. Thanks for the opportunity to assist and learn!

Albert Yeo Boon Leong

5.0

★★★★ ★

Singapore

“Instructive and Easy to Follow Lessons”

Even without prior knowledge and experience in this area, I can still follow the lessons.

Amirtha Swaathini

5.0

★★★★ ★

India

“Insightful and Engaging! A Comprehensive Learning Journey!”

The course content was well-structured and easy to follow. The interactive activities made the learning process engaging and fun. I appreciated the comprehensive approach and the support from instructors. It made a significant difference in my understanding of the material.

S.ARAVINDA KUMAR

5.0

★★★★ ★

India

“Clear Explanations and Engaging Teaching Style”

I liked how the concepts were explained in a simple and easy-to-understand manner. The teaching style made it easier to grasp complex topics, and the examples provided were clear and relevant. This approach helped me stay engaged and improved my learning experience.

Saida Iusupova

5.0

★★★★ ★

“I Really Enjoyed the Course and How It Was Structured”

I really enjoyed the course and how it was structured, as it provided clear, engaging content and practical applications throughout.

Mora sravanthi

5.0

★★★★ ★

India

“Easy to Learn and Develop Projects”

It is useful for Python developers, easy to understand, and helps them know how to develop a project.

Nazik Nurlanova

5.0

★★★★ ★

“Learned More Than Expected in a Short Time”

The Python course provides a strong foundation in programming, covering essential topics such as data types, loops, functions, and object-oriented concepts. It's well-structured, with clear explanations and practical examples that help beginners grasp concepts easily.

BHARATH NARAYANAN PA

5.0

★★★★ ★

India

“Easy to Learn and Useful”

This quiz was a concise and effective way to reinforce fundamental concepts related to data visualization using Matplotlib. The questions covered a wide range of topics such as scatter plots, subplots, spacing adjustments, and key Matplotlib functions like plt.show() and subplots_adjust(), which are essential for anyone looking to develop a deeper understanding of plotting in Python. It also tested knowledge on identifying various Matplotlib commands, ensuring that learners are familiar with the basics of the library.

Khayotkhon Abdikulova

5.0

★★★★ ★

“Python Seaborn 08.10.2024 Data Science”

In some plotting functions, such as sns.boxplot(), the parameter vertical=True will orient the plot vertically. This means the data will be plotted along the vertical axis. However, in many plotting libraries, the orientation is controlled by other parameters (like orient='v' in Seaborn or plt.bar() in Matplotlib).

Abdullah Durrani

5.0

★★★★ ★

“Topics Such as Python Seaborn and Plots”

In data visualization libraries like Seaborn and Matplotlib, setting `vertical=True` in certain plot functions changes the orientation of the plot. Here’s how it works in some common types of visualizations.

What our learners enjoyed the most

Skill & tools

60%

60% 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 is Seaborn in Python used for?

Seaborn is a matplotlib-based open-source Python package. It is used for exploratory data analysis and data visualization. Data frames and the Pandas library are simple to deal with in Seaborn. The graphs that have been made can be readily altered.

Is Seaborn better than matplotlib?

Matplotlib is a graphical tool for data visualization in Python that works well with NumPy and Pandas. Pyplot has many of the same capabilities and syntax as MATLAB. As a result, it is simple to study for MATLAB users. Seaborn is better accustomed to working with Pandas data frames.

How do I get Seaborn in Python?

To install the latest release of seaborn, you can practice pip:

pip installs seaborn.
conda install seaborn.
pip install.

How Can I learn seaborn in python for free?

Seaborn offers a multitude of graphs and all the vital features. To learn Python Seaborn, head to Great Learning’s free Seaborn Python Course for beginners, which will be the best guide for Seaborn Python. You can always learn more with https://www.mygreatlearning.com.

Will I get a certificate after completing this Python Seaborn free course?

Yes, you will get a certificate of completion for Python Seaborn after completing all the modules and cracking the assessment. The assessment tests your knowledge of the subject and badges your skills.

How much does this Python Seaborn course cost?

It is an entirely free course from Great Learning Academy. Anyone interested in learning the basics of Python Seaborn can get started with this course.

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

Once you enroll in the Python Seaborn course, you have lifetime access to it. So, you can log in anytime and learn it for free online.

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 this free Python Seaborn course?

Great Learning Academy provides this Python Seaborn course for free online. The course is self-paced and helps you understand various topics that fall under the subject with solved problems and demonstrated examples. The course is carefully designed, keeping in mind to cater to both beginners and professionals, and is delivered by subject experts.

Great Learning is a global ed-tech platform dedicated to developing competent professionals. Great Learning Academy is an initiative by Great Learning that offers in-demand free online courses to help people advance in their jobs. More than 5 million learners from 140 countries have benefited from Great Learning Academy's free online courses with certificates. It is a one-stop place for all of a learner's goals.

What are the steps to enroll in this Python Seaborn course?

Enrolling in any of the Great Learning Academy’s courses is just one step process. Sign-up for the course, you are interested in learning through your E-mail ID and start learning them for free online.

Will I have lifetime access to this free Python Seaborn course?

Yes, once you enroll in the course, you will have lifetime access, where you can log in and learn whenever you want to.

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