Skill level
Beginner
Duration
2 Hours
Prior Knowledge
None
Certificates
Included With Paid Plan
Get Started for free
Data Visualisation in Python: A Beginner’s Guide
Master the art of data storytelling with our free Python data visualization course, designed to help you present insights clearly and effectively.
- AI Assisted Guidance
- 20 exercises
- No Coding Experience Required
Skill level
Beginner
Duration
2 Hours
Prior Knowledge
None
Certificates
Included With Paid Plan
About This Course
Unlock the art of storytelling with data using Python libraries for data visualization such as Matplotlib and Seaborn. Discover how to create compelling visualizations to communicate insights effectively, whether you're analyzing trends in sales data, exploring patterns in customer behavior, or presenting findings to stakeholders. These skills are invaluable for data analysts, business intelligence professionals, and consultants.
Learn at your pace
Step-by-step guidance
Hands-on exercises
What You’ll Be Able to Do After This Course
Completing Supervised Machine Learning: Regression and Classification will give you the knowledge and tools to build and apply machine learning models with confidence. Here’s what you’ll be able to do:
Manipulate Data Efficiently
Use NumPy and Pandas to clean, organize, and transform datasets.
Work with Multidimensional Arrays
Create, reshape, and optimize arrays for faster processing.
Perform Advanced Data Operations
Apply indexing, slicing, and transformations for better insights.
Use Linear Algebra for Data Science
Solve matrix operations and perform complex calculations.
Apply Python Libraries in Real-World Scenarios
Work with large datasets for data analysis, machine learning, and predictive modeling.
Syllabus
14 lessons | 2 Hours
Matplotlib Python: Visualize Your Data Like a Pro
- Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python
View Lesson
Types of Plots in Matplotlib Explained
- This lesson will introduce you to some of the basic plot types and how to customize them to make your visualizations more informative and appealing.
View Lesson
Matplotlib Subplot: Learn to Plot Multiple Graphs
- Understanding the components of subplots in Matplotlib is key to creating complex and well-organized plots.
View Lesson
Introduction to Seaborn - Python
- Seaborn is a powerful and versatile Python library that is specifically designed for creating statistical graphics in Python.
View Lesson
Seaborn Facet Grid: Create Multi-Plot Layouts
- Faceting and grids in data visualization are powerful concepts for creating multi-panel plots, allowing for the exploration of complex datasets by dividing the data into subsets and plotting these subsets side by side.
View Lesson
An Intelligent Learning Platform That Feels Like A Personal Mentor
Completing Python Libraries for Data Science will give you practical skills to work with Python for data manipulation and analysis. Here’s what you’ll be able to do:
Learn by Doing with Interactive Lessons
Watch real-time screencasts and code along in an interactive environment.
AI-Powered Feedback to Sharpen Your Skills
Get instant feedback on your code, understand mistakes, and improve faster.
.avif)
Hands-On Practice in Skill Lab
Apply what you learn through exercises in our integrated coding environment.
Track Your Growth with Built-in Analytics
Monitor progress, identify strengths, and stay on top of your learning journey.
.avif)
Assess Your Skills & Get Scores
Take assessments, measure your performance, and see where you stand.
Unlock Career Opportunities with Job Board Access
Connect with job listings and take the next step toward your data analytics career.
Certified Proof of Your Learning & Growth
.avif)
Get Certified Recognized
Boost professional reputation and distinguish yourself with colleagues and industry leaders
Build Your Portfolio
Collect certificates as you progress and showcase your achievements.
Share Your Achievements Easily
Download, print, or add your certificates to LinkedIn to stand out in your industry.
Get to Know Your Course Creator
Bheeshma Tanna is a data science and AI expert with extensive experience in building intelligent systems and real-world data solutions. He has designed multiple SkillCamper courses to make machine learning, AI, and data science clear, practical, and application-focused. With a strong background in AI-driven product development, he ensures learners don’t just understand concepts but gain the skills to apply them confidently in their careers.
Bheeshma Tanna
Chief AI Product Officer at SkillCamper
Learner Reviews
Our courses and community have helped learners just like you kickstart & progress rapidly in their careers.
Sanjay Shah
Civil Engineer
.avif)
“The projects and the friendly community make learning fun and helpful. “
Ashish Lodhe
Application Support Engineer (Now Analyst at Accenture)
“This platform doesn’t just teach tools—it focuses on real-world application and domain knowledge, which makes a huge difference.”
Suman M
Maxlife Insurance (Axis Bank Branch Banking)
“Everything is explained in a way that makes sense, even for beginners. The lessons are clear, and I never felt lost at any point.”
Ravi Prakash
Automation Test Analyst
“The way topics are broken down makes them so much easier to understand.”
Ayush Sharma
Relationship Manager at City Union Bank
“Every time I had questions, they were addressed, and the sessions have been really good.”
Frequently Asked Questions
Is the Data Visualization with Python course free?
Yes, the course is free. You’ll have full access to all lessons, videos, and exercises at no cost. However, if you wish to receive a certificate and additional features, you can opt for the paid plan.
Do I need any prior experience to take this course?
No prior coding or data visualisation experience is needed. This course is designed for beginners, so you can jump right in even if you're completely new to programming.
How long does the course take, and can I learn at my own pace?
The course is approximately 20 hours long and fully self-paced. You can start, pause, and resume at any time, making it easy to fit learning into your schedule.
What key skills will I gain from this course?
You'll learn to create compelling data visualisations using Python libraries like Matplotlib and Seaborn. You'll master creating bar graphs, histograms, scatter plots, subplots, and more, and learn how to communicate insights effectively through visual storytelling.
What is the cost of the paid certification plan, and what does it include?
The paid plan costs ₹15,000 and includes additional benefits like graded assignments, access to AI-powered learning tools for personalised feedback, and a shareable certificate upon successful completion.
Will I earn a certificate upon completion?
Yes, if you choose the paid plan, you will receive a recognized certificate after completing the course. This certificate can be added to your resume and shared on LinkedIn to demonstrate your skills.
Why is learning data visualisation important for my career?
Data visualisation is a critical skill in any data-driven role. It allows you to present complex data in a way that is easy to understand and act upon. Mastering this skill can enhance your ability to communicate insights, making you more valuable as a data analyst, business intelligence professional, or consultant.
What types of hands-on exercises and projects are included?
You’ll complete over 45 exercises, from basic plot creation to advanced visualisations. Projects are designed to help you apply what you’ve learned, giving you real-world experience in creating impactful data visualisations.
Which Python libraries will I use during the course?
The course focuses on two key libraries: Matplotlib, used for creating static and interactive plots, and Seaborn, which is known for its enhanced statistical visualisations and aesthetic designs.
Can I access the course materials on mobile or other devices?
Yes, all course materials, videos, and exercises are accessible on mobile devices, so you can learn whenever and wherever it’s convenient for you.
Looking for a Different Course?
Related Resources
Ready to become a Data Scientist that industry loves to hire? Apply Now.
.avif)
