About this Course

2,960 recent views
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.
Beginner Level

No experience programming

Approx. 9 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.
Beginner Level

No experience programming

Approx. 9 hours to complete
English

Offered by

Placeholder

Codio

Syllabus - What you will learn from this course

Week
1

Week 1

2 hours to complete

Describing a Numerical Data Set

2 hours to complete
5 readings
Week
2

Week 2

2 hours to complete

Importing and Describing Mixed Data Sets (pandas)

2 hours to complete
Week
3

Week 3

3 hours to complete

Statistical Tests to Determine if Populations are Different

3 hours to complete
Week
4

Week 4

2 hours to complete

Statistical Tests to Describe Relationships

2 hours to complete

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

More questions? Visit the Learner Help Center.