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Data Understanding and Visualization
  • Level Professional
  • المدة 25 ساعات hours
  • الطبع بواسطة University of Colorado Boulder
  • Offered by

عن

The "Data Understanding and Visualization" course provides students with essential statistical concepts to comprehend and analyze datasets effectively. Participants will learn about central tendency, variation, location, correlation, and other fundamental statistical measures. Additionally, the course introduces data visualization techniques using Pandas, Matplotlib, and Seaborn packages, enabling students to present data visually with appropriate plots for accurate and efficient communication. Learning Objectives: 1. Understand and communicate the various aspects of statistics of datasets, including measures of central tendency, variation, location, and correlation. 2. Gain insights into basic statistical concepts and use them to describe dataset characteristics effectively. 3. Utilize Pandas for data manipulation and preparation to set the foundation for data visualization. 4. Master the utilization of Matplotlib and Seaborn to create accurate and meaningful data visualizations. 5. Choose appropriate plot types for different data types and research questions to enhance data comprehension and communication. Throughout the course, students will actively engage in practical exercises and projects, enabling them to explore statistical concepts, conduct data analysis, and effectively communicate insights through compelling visualizations. Throughout the course, students will actively engage in practical exercises and projects that involve statistical analysis and data visualization. By the end of the course, participants will be equipped with the knowledge and skills to explore, analyze, and communicate insights from datasets effectively through descriptive statistics and compelling visualizations.

الوحدات

Data Statistics

    • 1 Videos
    • 4 Readings
    • 1 Discussion
    • 1 Assignment
Show info about module content

1 Assignment

  • Data Statistics Quiz

1 Discussions

  • Data Statistics Exploration Exercise

1 Videos

  • Data Statistics

4 Readings

  • Assessment Strategy
  • Activity Strategy
  • Data Statistics Demo
  • Data Statistics Case Study

Data Visualization with Pandas

    • 1 Videos
    • 2 Readings
    • 1 Discussion
    • 1 Assignment
Show info about module content

1 Assignment

  • Data Visualization with Pandas Quiz

1 Discussions

  • Data Visualization with Pandas Exploration Exercise

1 Videos

  • Data Visualization with Pandas

2 Readings

  • Data Visualization with Pandas Demo
  • Data Visualization with Pandas Case Study

Data Visualization with Matplotlib

    • 1 Videos
    • 2 Readings
    • 1 Discussion
    • 1 Assignment
Show info about module content

1 Assignment

  • Data Visualization with Matplotlibb Quiz

1 Discussions

  • Data Visualization with Matplotlib Exploration Exercise

1 Videos

  • Data Visualization with Matplotlib

2 Readings

  • Data Visualization with Matplotlib Demo
  • Data Visualization with Matplotlib Case Study

Data Visualization with Seaborn

    • 1 Videos
    • 2 Readings
    • 1 Discussion
    • 2 Assignment
Show info about module content

2 Assignment

  • Data Visualization with Seaborn Quiz
  • Self Reflection

1 Discussions

  • Data Visualization with Seaborn Exploration Exercise

1 Videos

  • Data Visualization with Seaborn

2 Readings

  • Data Visualization with Seaborns Demo
  • Data Visualization with Seaborn Case Study

Auto Summary

"Data Understanding and Visualization" is a professional-level course in Data Science & AI, led by Coursera. It focuses on essential statistical concepts and data visualization using Pandas, Matplotlib, and Seaborn. Over 1500 minutes, participants will learn to analyze datasets, understand central tendency, variation, correlation, and create meaningful visualizations. Practical exercises and projects enhance learning. Subscription options include Starter and Professional, catering to those aiming to effectively explore, analyze, and communicate data insights. Ideal for learners seeking to master data analysis and visualization skills.

Di Wu
Instructor

Di Wu