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Data Wrangling with Python Project
  • Level Professional
  • المدة 26 ساعات hours
  • الطبع بواسطة University of Colorado Boulder
  • Offered by

عن

The "Data Wrangling Project" course provides students with an opportunity to apply the knowledge gained throughout the specialization in a real-life data wrangling project of their interest. Participants will follow the data wrangling pipeline step by step, from identifying data sources to processing and integrating data, to achieve a fine dataset ready for analysis. This course enables students to gain hands-on experience in the data wrangling process and prepares them to handle complex data challenges in real-world scenarios. Throughout the course, students will work on their data wrangling project, applying the knowledge and skills gained in each module to achieve a refined and well-prepared dataset. By the end of the course, participants will be proficient in the data wrangling process and ready to tackle real-world data challenges in diverse domains.

الوحدات

Data Wrangling Pipeline

    • 3 Readings
    • 1 Assignment
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1 Assignment

  • Self Reflection on Data Wrangling Pipiline

3 Readings

  • Assessment Strategy
  • Data Wrangling Pipeline
  • Data Wrangling Project Outline

Scope and Objectives

    • 1 Readings
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1 Readings

  • Scope and Objectives

Identify the Sources

    • 1 Readings
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1 Readings

  • Identify the Sources

Understand the Sources

    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Self Reflection On Project Proposal

1 Readings

  • Understand the Sources

Data Collection

    • 1 Readings
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1 Readings

  • Data Collection

Data Validation

    • 1 Readings
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1 Readings

  • Data Validation

Data Integration

    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Self Reflection on Data Collection and Integration

1 Readings

  • Data Integration

Data Statistical Understanding

    • 1 Readings
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1 Readings

  • Data Statistical Understanding

Data Visualization

    • 1 Readings
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1 Readings

  • Data Visualization

Exploratory Data Analysis

    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Self Reflection on Data Understanding and Visualization

1 Readings

  • Exploratory Data Analysis

Missing Values

    • 1 Readings
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1 Readings

  • Missing Values

Outliers

    • 1 Readings
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1 Readings

  • Outliers

Sampling

    • 1 Readings
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1 Readings

  • Sampling

Dimension Elimination

    • 1 Readings
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1 Readings

  • Dimension Elimination

Scaling

    • 1 Readings
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1 Readings

  • Scaling

Discretization

    • 1 Readings
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1 Readings

  • Discretization

Data Cube

    • 1 Readings
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1 Readings

  • Data Cube

Pivot Table

    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Final Self Reflection on Data Processing and Manipulation

1 Readings

  • Pivot Table

Congratulations

    • 1 Readings
    • 1 Discussion
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1 Discussions

  • Data Wrangling Project Show Off!

1 Readings

  • Congratulations!

Auto Summary

Unlock the power of data with the "Data Wrangling with Python Project" course, designed specifically for those diving into the realms of Data Science and AI. This hands-on course, offered by Coursera, focuses on guiding learners through the entire data wrangling pipeline. From identifying data sources to processing and integrating data, participants will work on a real-life project of their choosing, ensuring they gain practical experience in preparing datasets for analysis. Under the expert guidance of industry professionals, you will develop the skills to manage complex data challenges, making you proficient in the essential aspects of data wrangling. The course spans 1560 minutes, offering comprehensive coverage and flexibility in learning. Available through Coursera's Starter and Professional subscription plans, this course is perfect for those at a professional level looking to enhance their data handling capabilities. By the end of the course, you will be well-equipped to tackle any data wrangling task and ready to apply your knowledge in diverse real-world scenarios.

Di Wu
Instructor

Di Wu