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English

Subtitles: English, Korean

Skills you will gain

StatisticsR ProgrammingRstudioExploratory Data Analysis

33%

started a new career after completing these courses

30%

got a tangible career benefit from this course

11%

got a pay increase or promotion

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

English

Subtitles: English, Korean

Syllabus - What you will learn from this course

Content Rating94%(21,997 ratings)
Week
1

Week 1

12 minutes to complete

About Introduction to Probability and Data

12 minutes to complete
1 video (Total 2 min), 1 reading
1 video
More about Introduction to Probability and Data10m
1 hour to complete

Introduction to Data

1 hour to complete
6 videos (Total 28 min), 2 readings, 2 quizzes
6 videos
Data Basics5m
Observational Studies & Experiments4m
Sampling and sources of bias8m
Experimental Design2m
(Spotlight) Random Sample Assignment3m
Lesson Learning Objectives10m
2 practice exercises
Week 1 Practice Quiz10m
Week 1 Quiz14m
1 hour to complete

Introduction to Data Project

1 hour to complete
Week 1 Lab Instructions (RStudio)10m
1 practice exercise
Week 1 Lab: Introduction to R and RStudio16m
Week
2

Week 2

2 hours to complete

Exploratory Data Analysis and Introduction to Inference

2 hours to complete
7 videos (Total 46 min), 3 readings, 2 quizzes
7 videos
Measures of Center4m
Robust Statistics1m
Transforming Data3m
Exploring Categorical Variables8m
Introduction to Inference12m
Lesson Learning Objectives10m
Lesson Learning Objectives10m
2 practice exercises
Week 2 Practice Quiz10m
Week 2 Quiz12m
1 hour to complete

Exploratory Data Analysis and Introduction to Inference Project

1 hour to complete
Week 2 Lab Instructions (RStudio)10m
Week 2 Lab Instructions (RStudio Cloud)10m
1 practice exercise
Week 2 Lab: Introduction to Data20m
Week
3

Week 3

2 hours to complete

Introduction to Probability

2 hours to complete
9 videos (Total 82 min), 3 readings, 2 quizzes
9 videos
Disjoint Events + General Addition Rule9m
Independence9m
Probability Examples9m
(Spotlight) Disjoint vs. Independent2m
Conditional Probability12m
Probability Trees10m
Bayesian Inference14m
Examples of Bayesian Inference7m
Lesson Learning Objectives10m
Lesson Learning Objectives10m
2 practice exercises
Week 3 Practice Quiz6m
Week 3 Quiz10m
1 hour to complete

Introduction to Probability Project

1 hour to complete
Week 3 Lab Instructions (RStudio)10m
Week 3 Lab Instructions (RStudio Cloud)10m
1 practice exercise
Week 3 Lab: Probability10m
Week
4

Week 4

2 hours to complete

Probability Distributions

2 hours to complete
6 videos (Total 67 min), 4 readings, 2 quizzes
6 videos
Evaluating the Normal Distribution2m
Working with the Normal Distribution5m
Binomial Distribution17m
Normal Approximation to Binomial14m
Working with the Binomial Distribution9m
Lesson Learning Objectives10m
Lesson Learning Objectives10m
Data Analysis Project Example10m
2 practice exercises
Week 4 Practice Quiz14m
Week 4 Quiz14m

About the Statistics with R Specialization

In this Specialization, you will learn to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions, communicate statistical results correctly, effectively, and in context without relying on statistical jargon, critique data-based claims and evaluated data-based decisions, and wrangle and visualize data with R packages for data analysis. You will produce a portfolio of data analysis projects from the Specialization that demonstrates mastery of statistical data analysis from exploratory analysis to inference to modeling, suitable for applying for statistical analysis or data scientist positions....

• Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.