Coursera
MOOC / Non-credit
0
Data Literacy
About this course
This specialization is intended for professionals seeking to develop a skill set for interpreting statistical results. Through four courses and a capstone project, you will cover descriptive statistics, data visualization, measurement, regression modeling, probability and uncertainty which will prepare you to interpret and critically evaluate a quantitative analysis.
A
82/100
CourseAsk score
- What the provider tells you
- 31/45
- Who stands behind it
- 35/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- interpret statistical results
- analyze descriptive statistics
- create data visualizations
- understand regression modeling
- assess probability and uncertainty
Course objectives
- develop a foundational understanding of statistical concepts
- gain practical experience through a capstone project
- learn to critically evaluate quantitative analyses
Data Analysis
#regression
#data literacy
#data interpretation
#data visualization
#quantitative analysis
#statistical modeling
#data analysis
#statistics
#probability
#measurement
$49.00
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