About this Course

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Shareable Certificate
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Coursera Labs
Includes hands on learning projects.
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Beginner Level

No experience programming

Approx. 10 hours to complete
English

What you will 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

Skills you will gain

  • Functions
  • Python Programming
  • Data Analysis
  • Variables
  • Basic Descriptive Statistics
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Beginner Level

No experience programming

Approx. 10 hours to complete
English

Offered by

Placeholder

Codio

Syllabus - What you will learn from this course

Week1
Week 1
2 hours to complete

Describing a Numerical Data Set

2 hours to complete
5 readings
Week2
Week 2
3 hours to complete

Importing and Describing Mixed Data Sets (pandas)

3 hours to complete
3 readings
Week3
Week 3
3 hours to complete

Statistical Tests to Determine if Populations are Different

3 hours to complete
4 readings
Week4
Week 4
2 hours to complete

Statistical Tests to Describe Relationships

2 hours to complete
2 readings

Reviews

TOP REVIEWS FROM DATA ANALYSIS IN PYTHON WITH PANDAS & MATPLOTLIB IN SPYDER

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About the Data Science and Analysis Tools - from Jupyter to R Markdown Specialization

Data Science and Analysis Tools - from Jupyter to R Markdown

Frequently Asked Questions

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