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Data Analysis in Python with pandas & matplotlib in Spyder
  • Level Foundation
  • Duration 11 hours
  • Course by Codio
  • Offered by

About

Code and run your first Python script in minutes without installing anything! This course is designed for learners with no coding experience, providing a crash course in Python, which enables the learners to delve into core data analysis topics that can be transferred to other languages. In this course, you will learn how to import and organize your data, use functions to gather descriptive statistics, and perform statistical tests. To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and runnable code examples with suggested edits to explore code examples further, building a deeper understanding by doing. You’ll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling code blocks) to small, approachable coding exercises that take minutes instead of hours. Finally, a longer-form lab at the end of the course will provide you an opportunity to apply all learned concepts within a real-world context.

Modules

Printing and Sorting

    • 2 Readings
    • 1 ExternalTool
Show info about module content

1 External Tool

  • Codio: Printing and Sorting

2 Readings

  • Navigating Codio Assignments
  • Printing and Sorting Lesson Notes (Optional Download)

Data Types

    • 1 Readings
    • 1 ExternalTool
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1 External Tool

  • Codio: Data Types

1 Readings

  • Data Types Lesson Notes (Optional Download)

Statistical Functions

    • 1 Readings
    • 1 ExternalTool
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1 External Tool

  • Codio: Statistical Functions

1 Readings

  • Statistical Functions Lesson Notes (Optional Download)

Coding Exercises

    • 1 Readings
    • 1 ExternalTool
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1 External Tool

  • Codio: Coding Exercises

1 Readings

  • How to Reset an Assignment in Codio

Importing a Data Frame

    • 1 Readings
    • 1 ExternalTool
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1 External Tool

  • Codio: Importing a Data Frame

1 Readings

  • Importing a Data Frame Lesson Notes (Optional Download)

Logical Operators

    • 1 Readings
    • 1 ExternalTool
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1 External Tool

  • Codio: Logical Operators

1 Readings

  • Logical Operators Lesson Notes (Optional Download)

Selecting Data

    • 1 Readings
    • 1 ExternalTool
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1 External Tool

  • Codio: Selecting Data

1 Readings

  • Selecting Data Lesson Notes (Optional Download)

Coding Exercises

    • 1 ExternalTool
Show info about module content

1 External Tool

  • Codio: Coding Exercises

Conditionals

    • 1 Readings
    • 1 ExternalTool
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1 External Tool

  • Codio: Conditionals

1 Readings

  • Conditionals Lesson Notes (Optional Download)

Comparison Test

    • 1 Readings
    • 1 ExternalTool
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1 External Tool

  • Codio: Comparison Test

1 Readings

  • Comparison Test Lesson Notes (Optional Download)

Handling Incomplete Data sets

    • 1 Readings
    • 1 ExternalTool
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1 External Tool

  • Codio: Handling Incomplete Data sets

1 Readings

  • Handling Incomplete Data sets Test Lesson Notes (Optional Download)

Merges And Joins

    • 1 Readings
    • 1 ExternalTool
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1 External Tool

  • Codio: Merges And Joins

1 Readings

  • Merges And Joins Lesson Notes (Optional Download)

Coding Exercises

    • 1 ExternalTool
Show info about module content

1 External Tool

  • Codio: Coding Exercises

Regression Test

    • 1 Readings
    • 1 ExternalTool
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1 External Tool

  • Codio: Regression Test

1 Readings

  • Regression Test Lesson Notes (Optional Download)

Correlation Test

    • 1 Readings
    • 1 ExternalTool
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1 External Tool

  • Codio: Correlation Test

1 Readings

  • Correlation Test Lesson Notes (Optional Download)

Coding Exercises

    • 1 ExternalTool
Show info about module content

1 External Tool

  • Codio: Coding Exercises

Lab

    • 1 ExternalTool
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1 External Tool

  • Codio: Lab

Auto Summary

Learn data analysis in Python with pandas and matplotlib using Spyder in a hands-on, video-free format. Perfect for beginners with no coding experience, this foundational course covers essential data science skills, including data import, organization, and statistical analysis. Through interactive assignments and instant feedback, you'll gain practical experience with Python code. Offered by Coursera, the course spans 660 minutes with subscription options for Starter and Professional levels. Ideal for aspiring data scientists or anyone keen to explore data analysis.

Kevin Noelsaint
Instructors

Kevin Noelsaint

Anh Le
Instructors

Anh Le