KHAN MIHADDUR ZAMAN
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Seaborn for data visualization Course
(5 reviews)
Created by:
360DigiTMG
-
40 Lessons
-
173 Students
- Certificate of completion
Seaborn for data visualization, in this course we will learn about Seaborn for data visualization, exploring how to create insightful, high-quality visualizations in Python. We’ll cover essential Seaborn functions, including scatter plots, histograms, box plots, heatmaps, and regression plots. You will master customizing visualizations, handling datasets efficiently with Pandas, and enhancing analysis using Seaborn’s statistical capabilities. Whether you're a beginner or an experienced analyst, this course will help you uncover patterns in data, improve presentations, and make informed decisions using Seaborn’s powerful visualization tools. 360DigiTMG
To Register in Course you have to watch at least 30 Second of any lesson
What You'll Learn
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Create insightful scatter plots, histograms, and box plots for data analysis and presentation
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Design and customize heatmaps and regression plots to reveal data patterns and relationships
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Handle datasets efficiently with Pandas for seamless integration with Seaborn visualizations
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Apply Seaborn’s statistical functions to enhance data interpretation and uncover trends
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Improve data storytelling by creating high-quality, publication-ready visualizations in Python
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Utilize Seaborn to identify outliers, distributions, and correlations within complex datasets
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Enhance data analysis skills by integrating Seaborn visualizations with Pandas and NumPy
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Develop interactive visualizations to communicate findings effectively to diverse audiences
Course Content
40 Lessons • 18 h 44 m total
Creating a Basic Calculator 360DigiTMG
Visualizing Data with Seaborn in Python 360DigiTMG
Solving Deloitte Interview Question 360DigiTMG
Solving Uber Interview Question 360DigiTMG
Solving Flipkart Interview Questions 360DigiTMG
Time series plots in Python 360DigiTMG
Solving Swiggy Interview Questions 360DigiTMG
Solving KPMG Interview Questions 360DigiTMG
EDA with new Dataset 360DigiTMG
Preprocessing with Sklearn Library 360DigiTMG
Matplotlib Library Functions 360DigiTMG
Pandas Library Functions 360DigiTMG
Numpy Library Function 360DigiTMG
Unlocking Data Insights Version Control Monitoring and Automation for ML Models in Production
Unlocking Data Insights Versioning and Monitoring Deployed Models 360DigiTMG
Unlocking Data Insights API Design with OOP Serving ML Models for Real Time Predictions
Unlocking Data Insights OOP for Model Deployment 360DigiTMG
Unlocking Data Insights Custom Loss Functions and Metrics Using OOP to Extend Machine Learning
Unlocking Data Insights Encapsulating Hyperparameter Tuning Automating with Classes 360DigiTMG
Unlocking Data Insights Model Management with OOP Building Flexible and Maintainable ML Models
Unlocking Data Insights Object Oriented Data Pipelines Structuring Your Machine Learning Workflow
Unlocking Data Insights Metaclasses and Custom Class Creation Advanced OOP Techniques
Unlocking Data Insights Design Patterns in Python Leveraging OOP for Scalable Solutions
Unlocking Data Insights Encapsulation and Abstraction Safeguarding and Simplifying Your Code
Unlocking Data Insights Inheritance and Polymorphism Building Reusable and Extensible Code
Unlocking Data Insights Python OOP Mastery Practical Applications of Classes and Objects
Unlocking Data Insights Python OOP Mastery Practical Applications of Classes and Objects
Unlocking Data Insights Python OOP Mastery Building Blocks for Beginners 360DigiTMG
Unlocking Data Insights AI in Action 4 Simplifying Kubernetes Deployment with Minikube
Unlocking Data Insights AI in Action 3 Orchestrating ML Apps with Kubernetes
Unlocking Data Insights Seamless Monitoring Maintenance of Your ML App with Docker
Unlocking Data Insights Episode 9 AI in Action Seamless Monitoring Maintenance of Your ML App
Unlocking Data Insights Episode 8 The Art of Deployment 360DigiTMG
Unlocking Data Insights Episode 7 The Art of Deployment 360DigiTMG
Unlocking Data Insights Episode 6 The Art of Hyperparameter Alchemy Crafting Perfect Models
Unlocking Data Insights Fine Tuning Mastery Unlocking the Power of Hyperparameters
Unlocking Data Insights From Concept to Reality Mastering Model Building Tuning and Evaluation
Unlocking Data Insights From Data Chaos to Clarity Advanced EDA and Preprocessing Techniques
Unlocking Data Insights A live Python Series Part 2 Data Wrangling Wizards Mastering the Basics
Unlocking Data Insights A live Python Series Part 1 Python Pioneers kick Off Data Adventures
How to Get The Certificate
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You must have an
Account
on the platform.
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Complete all lessons.
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Watch at least 50% of Lesson Duration.
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Get your Certificate free 🎉 !
4.8
(5 reviews)
Overall rating
Reviews
Be the First One Review This Course
GATTU SRIJA
good
Shubham Parsoya
Seaborn for data visualization Certificate
Sarumathi K
Excellent explanation
RATTAN SINGH
Excellent
Santhosh Santhosh
Excellent
Sunil bhatt
Nice
Manisha Ellayaih Sirpuram
good
REESHILA BHOWMICK
It was helpful.
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Seaborn for data visualization Course Description
Seaborn for data visualization, in this course we will learn about Seaborn for data visualization, exploring how to create insightful, high-quality visualizations in Python. We’ll cover essential Seaborn functions, including scatter plots, histograms, box plots, heatmaps, and regression plots. You will master customizing visualizations, handling datasets efficiently with Pandas, and enhancing analysis using Seaborn’s statistical capabilities. Whether you're a beginner or an experienced analyst, this course will help you uncover patterns in data, improve presentations, and make informed decisions using Seaborn’s powerful visualization tools. 360DigiTMG
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