list 10 sequences
assignment Level : Introductive
chat_bubble_outline Language : English

Top companies choose Edflex to build in-demand career skills.

Get started
Users' reviews
4.5
starstarstarstar

## Key Information

credit_card Free access
verified_user Free certificate
timer 80 hours in total

This course introduces you to the discipline of statistics as a science of understanding and analyzing data. You will learn how to effectively make use of data in the face of uncertainty: how to collect data, how to analyze data, and how to use data to make inferences and conclusions about real world phenomena.

dns

## Syllabus

Week 1: Unit 1 - Introduction to data
• Part 1 – Designing studies
• Part 2 – Exploratory data analysis
• Part 3 – Introduction to inference via simulation
Week 2: Unit 2 - Probability and distributions
• Part 1 – Defining probability
• Part 2 – Conditional probability
• Part 3 – Normal distribution
• Part 4 – Binomial distribution
Week 3: Unit 3 - Foundations for inference
• Part 1 – Variability in estimates and the Central Limit Theorem
• Part 2 – Confidence intervals
• Part 3 – Hypothesis tests
Week 4: Finish up Unit 3 + Midterm
• Part 4 – Inference for other estimators
• Part 5 - Decision errors, significance, and confidence
Week 5: Unit 4 - Inference for numerical variables
• Part 1 – t-inference
• Part 2 – Power
• Part 3 – Comparing three or more means (ANOVA)
• Part 4 – Simulation based inference for means
Week 6: Unit 5 - Inference for categorical variables
• Part 1 – Single proportion
• Part 2 – Comparing two proportions
• Part 3 – Inference for proportions via simulation
• Part 4 – Comparing three or more proportions (Chi-square)
Week 7: Unit 6 - Introduction to linear regression
• Part 1 – Relationship between two numerical variables
• Part 2 – Linear regression with a single predictor
• Part 3 – Outliers in linear regression
• Part 4 – Inference for linear regression
Week 8: Unit 7 - Multiple linear regression
• Part 1 – Regression with multiple predictors
• Part 2 – Inference for multiple linear regression
• Part 3 – Model selection
• Part 4 – Model diagnostics
Week 9: Review / catch-up week
• Bayesian vs. frequentist inference
Week 10: Final exam
record_voice_over

## Instructors

• Mine Çetinkaya-Rundel - Department of Statistical Science
store

## Content Designer

Duke University has about 13,000 undergraduate and graduate students and a world-class faculty helping to expand the frontiers of knowledge. The university has a strong commitment to applying knowledge in service to society, both near its North Carolina campus and around the world.
assistant

## Platform

Coursera is a digital company offering massive open online course founded by computer teachers Andrew Ng and Daphne Koller Stanford University, located in Mountain View, California.

Coursera works with top universities and organizations to make some of their courses available online, and offers courses in many subjects, including: physics, engineering, humanities, medicine, biology, social sciences, mathematics, business, computer science, digital marketing, data science, and other subjects.

Reviews
4.5 /5 Average
starstarstarstarstar
1
starstarstarstarstar
0
starstarstarstarstar
0
starstarstarstarstar
0
starstarstarstarstar
0
Content
4.5/5
Platform
4.5/5
Animation
4.5/5
Best Review

Am truely impress with content, Platform and animation this site provides to learners. Looking forward to enrich my data analysis skills

Published on September 16, 2020
You are the designer of this MOOC?
What is your opinion on this resource ?
Content
5/5
Platform
5/5
Animation
5/5
September 16, 2020
starstarstarstar

Am truely impress with content, Platform and animation this site provides to learners. Looking forward to enrich my data analysis skills