Codio
Data Analysis in Python with pandas & matplotlib in Spyder

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Codio

Data Analysis in Python with pandas & matplotlib in Spyder

Kevin Noelsaint
Anh Le

Instructors: Kevin Noelsaint

2,426 already enrolled

Included withCoursera Plus

Gain insight into a topic and learn the fundamentals.
3.1

(16 reviews)

Beginner level

Recommended experience

10 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
3.1

(16 reviews)

Beginner level

Recommended experience

10 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Describe a numerical data set with statistics

  • Import and describe a mixed data set using pandas and matplotlib

  • Determine if populations are different using statistical tests

  • Describe relationships between variables using statistical tests

Details to know

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Taught in English

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Build your subject-matter expertise

This course is part of the Data Science and Analysis Tools - from Jupyter to R Markdown Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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There are 5 modules in this course

Welcome to Week 1 of the Python Data Science with Jupyter course. These assignments cover introductory topics such as Printing and Sorting, Data Types, and Statistical Functions.

What's included

5 readings4 app items

What's included

3 readings4 app items

What's included

4 readings5 app items

What's included

2 readings3 app items

What's included

1 app item

Instructors

Instructor ratings
3.3 (6 ratings)
Kevin Noelsaint
Codio
11 Courses37,867 learners
Anh Le
Codio
20 Courses93,159 learners

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Codio

Recommended if you're interested in Data Analysis

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Learner reviews

Showing 3 of 16

3.1

16 reviews

  • 5 stars

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  • 4 stars

    6.25%

  • 3 stars

    6.25%

  • 2 stars

    6.25%

  • 1 star

    37.50%

SM
5

Reviewed on Dec 30, 2021

SK
4

Reviewed on Mar 29, 2022

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