Data Visualization with Python
Master data visualization techniques using Python libraries like Matplotlib, Seaborn, and Plotly to create compelling visual stories.
Master data visualization techniques using Python libraries like Matplotlib, Seaborn, and Plotly to create compelling visual stories.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full IBM Data Science Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.5
(11,723 ratings)
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Instructors:
English
پښتو, বাংলা, اردو, 2 more
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What you'll learn
Create basic and advanced charts using Python libraries
Develop interactive dashboards with Plotly and Dash
Generate geospatial visualizations with Folium
Produce data-driven visual stories
Implement best practices in data visualization
Skills you'll gain
This course includes:
2.08 Hours PreRecorded video
12 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 5 modules in this course
This comprehensive course teaches data visualization techniques using Python libraries. Students learn to create various types of visualizations including basic charts (line, area, bar, pie), advanced plots (waffle charts, word clouds, regression plots), and geospatial visualizations using Folium. The course emphasizes hands-on practice with Matplotlib, Seaborn, and Plotly, culminating in creating interactive dashboards using Dash. Through practical labs and a final project analyzing automobile sales data, learners develop skills in presenting complex data in compelling and insightful ways.
Introduction to Data Visualization Tools
Module 1 · 2 Hours to complete
Basic and Specialized Visualization Tools
Module 2 · 3 Hours to complete
Advanced Visualizations and Geospatial Data
Module 3 · 2 Hours to complete
Creating Dashboards with Plotly and Dash
Module 4 · 5 Hours to complete
Final Project and Exam
Module 5 · 5 Hours to complete
Fee Structure
Instructors
Expert in Artificial Intelligence and Data Visualization
Dr. Pooja is a highly accomplished educator with nearly two decades of experience in Computer Science and Engineering, dedicated to sharing her expertise in Artificial Intelligence and Machine Learning. She has conducted numerous hands-on training sessions for industry professionals and students, focusing on practical applications using Python. Dr. Pooja has collaborated with NITTTR in Chandigarh, India, to develop and deliver courses on the national online education platform, Swayam, particularly in the area of Smart Grid Analytics with a Machine Learning module. A seasoned Python expert, she specializes in data visualization and has authored the book Data Visualization with Python, which guides readers through creating compelling visual representations of data using popular libraries such as Matplotlib, Seaborn, and Bokeh. Her passion for transforming complex datasets into insightful visuals reflects her commitment to advancing knowledge and fostering innovation in the field of data science.
Championing Open Source AI and Data Democratization
Saishruthi Swaminathan is a dedicated Data Scientist and Developer Advocate at IBM, where she plays a pivotal role in the Center for Open Source Data and AI Technologies (CODAIT). With a Master's degree in Electrical Engineering specializing in Data Science and a Bachelor's degree in Electronics and Instrumentation, Saishruthi is passionate about making data and artificial intelligence accessible to everyone. Her work focuses on developing open-source technologies that empower individuals and organizations to harness the power of AI for social good. In addition to her technical contributions, she actively leads initiatives aimed at educating rural children and organizing meetups centered on women empowerment in technology. Saishruthi's commitment to democratizing data science is evident through her efforts to share knowledge and advocate for ethical AI practices, making her a significant figure in the field of data science and community engagement.
Testimonials
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4.5 course rating
11,723 ratings
Frequently asked questions
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