Course Summary
Learn how to use Python for data visualization in this comprehensive course. Gain skills in data cleaning, data analysis, and data visualization using various libraries in Python.Key Learning Points
- Learn to use various libraries in Python for data visualization
- Gain skills in data cleaning and analysis
- Create interactive plots and charts using Python
Job Positions & Salaries of people who have taken this course might have
- USA: $65,000 - $110,000
- India: ₹500,000 - ₹1,200,000
- Spain: €25,000 - €45,000
- USA: $65,000 - $110,000
- India: ₹500,000 - ₹1,200,000
- Spain: €25,000 - €45,000
- USA: $85,000 - $145,000
- India: ₹700,000 - ₹1,800,000
- Spain: €35,000 - €65,000
Related Topics for further study
Learning Outcomes
- Ability to use Python libraries for data visualization and analysis
- Capability to create interactive plots and charts
- Proficiency in data cleaning techniques
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of Python programming
- Familiarity with data analysis concepts
Course Difficulty Level
IntermediateCourse Format
- Self-paced learning
- Video lectures
- Hands-on exercises
Similar Courses
- Data Visualization with Python
- Python Data Visualization
Related Education Paths
Related Books
Description
"A picture is worth a thousand words". We are all familiar with this expression. It especially applies when trying to explain the insight obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of both small and large-scale data.
Outline
- Introduction to Data Visualization Tools
- Welcome
- Introduction to Data Visualization
- Introduction to Matplotlib
- Basic Plotting with Matplotlib
- Dataset on Immigration to Canada
- Line Plots
- Syllabus
- [Optional] Download Jupyter Notebook
- Introduction to Data Visualization Tools
- Basic and Specialized Visualization Tools
- Area Plots
- Histograms
- Bar Charts
- Pie Charts
- Box Plots
- Scatter Plots
- [Optional] Download JupyterNotebook
- [Optional] Download Jupyter Notebook
- Basic Visualization Tools
- Specialized Visualization Tools
- Advanced Visualizations and Geospatial Data
- Waffle Charts
- Word Clouds
- Seaborn and Regression Plots
- Introduction to Folium
- Maps with Markers
- Choropleth Maps
- [Optional] Download Jupyter Notebook
- [Optional] Download Jupyter Notebook
- Advanced Visualization Tools
- Visualizing Geospatial Data
- Creating Dashboards with Plotly and Dash
- Dashboarding Overview
- Introduction to Plotly
- Introduction to Dash
- Make dashboards interactive
- Module Overview and Learning Objectives
- Additional Resources for Dashboards
- Additional Resources for Plotly
- Additional Resources for Dash
- Additional Resources for Interactive Dashboards
- Lesson Summary
- Practice Quiz
- Graded Quiz
- Final Project
- IBM Digital Badge
- Final Exam
Summary of User Reviews
Python for Data Visualization is a highly rated course on Coursera that covers the fundamentals of data visualization with Python. Users have praised the course for its comprehensive content and practical approach to learning.Key Aspect Users Liked About This Course
The course is praised for its hands-on approach to learning, allowing users to apply their new skills to real-world data problems.Pros from User Reviews
- Comprehensive content that covers all the important topics in data visualization
- Practical assignments that allow users to apply their new skills to real-world problems
- Experienced and knowledgeable instructors who are able to explain complex concepts in an easy-to-understand manner
Cons from User Reviews
- The course can be quite challenging for beginners who are not familiar with Python programming
- Some users have reported technical issues with the online platform and course materials
- The pace of the course can be quite fast, making it difficult for some users to keep up
Saishruthi Swaminathan
4.5 Raiting
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